🔥 Cloud Architect Masters Program (Discount Coupon - YTBE15):https://www.simplilearn.com/cloud-solutions-architect-masters-program-training?utm_campaign=23AugustTubebuddyExpCC&utm_medium=DescriptionFF&utm_source=youtube
🔥 IIT Guwahati Professional Certificate Program In Cloud Computing And DevOps (India Only): https://www.simplilearn.com/professional-certificate-program-cloud-computing-devops?utm_campaign=GCPFSjul14&utm_medium=Descriptionff&utm_source=youtube
🔥Caltech Cloud Computing Bootcamp (US Only): https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=GCPFSjul14&utm_medium=Descriptionff&utm_source=youtube
The Google Cloud Platform Tutorial video will cover all the important concepts of Google Cloud Platform. Google Cloud Platform is a set of cloud computing services provided by Google that runs on the same infrastructure that Google uses for its end-user products like, YouTube, Gmail and more. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

00:00:00 What is GCP?
01:32:48 GCP Tutorial
03:09:01 AWS vs GCP
03:17:13 GCP Web Hosting
03:36:24 Google Cloud ML
03:38:50 Google Cloud Platform Certificate Training

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Google Cloud Platform(GCP) tutorial videos: https://bit.ly/35r8IPg

#GoogleCloudPlatformTutorial #GoogleCloudPlatformFullCourse #GoogleCloudTutorial #GoogleCloudPlatformTutorialForBeginners #CloudComputing #Simplilearn

➡️ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
- Caltech CTME Circle Membership

✅ Skills Covered
- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Autoscaling
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment
- Storage Services

👉 Learn More At: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=GCPFSjul14&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥DevOps Engineer Masters Program: https://www.edureka.co/masters....-program/devops-engi

In this video, *DevSecOps Interview Questions and Answers* , we’ll cover the essential DevSecOps Interview Questions and Answers to help you excel in any DevSecOps role. From foundational security principles to advanced DevSecOps practices, we tackle questions about integrating security into CI/CD pipelines, container security, vulnerability management, and key tools like Docker, Kubernetes, and security scanners. You'll not only learn how to craft compelling answers but also understand the critical reasoning behind them, equipping you to stand out in your interviews. Whether you’re new to DevSecOps or a seasoned professional, this video is your ultimate guide to mastering DevSecOps interviews. Don’t forget to like, share, and subscribe for more insightful content!

✅ 02:28 - Use Case
✅ 08:04 - Why DevSecOps?
✅ 08:50 - What is DevSecOps & What is stands for?
✅ 10:09 - What are the benefits of DevSecops?
✅ 11:12 - DevSecOps vs. DevOps
✅ 14:37 - What are the Components of DevSecOps?
✅ 16:07 - What are the best practices of DevSecOps?
✅ 17:24 - What are common DevSecOps tools?
✅ 18:39 - What are the challenges of implementing DevSecOps?
✅ 19:42 - DevSecOps Culture
✅ 20:51 - How does DevSecOps work?

✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

- - - - - - - - - - - - - -
What is the difference between DevSecOps vs DevOps?


DevOps and DevSecOps share the goal of streamlining software delivery, but they differ in their focus and approach. DevOps emphasizes collaboration between development and operations teams to ensure fast and reliable software delivery. Security in DevOps is often treated as a separate phase or addressed later in the development lifecycle. In contrast, DevSecOps integrates security into every stage of the DevOps process, adopting a ""shift-left"" approach where security is a shared responsibility across development, security, and operations teams.
- - - - - - - - - - - - - -

Who should take this course:

Software Developers looking to streamline development and deployment.
IT Operations Professionals wanting to integrate with development teams.
QA Engineers seeking to automate testing within CI/CD pipelines.
System Administrators interested in managing infrastructure as code.
DevOps Enthusiasts eager to learn the latest tools and practices.
Students/Freshers wanting to start a career in IT and DevOps.
- - - - - - - - - - -- - - - --

Prerequisites for DevOps Course:

Basic programming knowledge (Python, Java, etc.)
Understanding of Linux/Unix systems
Familiarity with version control (Git)
Basic networking concepts
Awareness of cloud platforms (AWS, Azure, etc.)
Knowledge of the software development lifecycle
Willingness to learn and adapt.


For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=_tESQLUw03g&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=_tESQLUw03g&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=_tESQLUw03g&utm_medium=Lives&utm_source=Youtube

The Generative AI Full Course 2025 by Simplilearn starts with an introduction to Generative AI, covering beginner tutorials and the AI career landscape in 2025. It delves into the Gen AI engineer roadmap, the top AI technologies, and Deepseek R1. Learners explore deep learning, GANs, transformers, and LLMs, along with Search GPT and Langchain. The course provides a strong foundation in machine learning, reinforcement learning, and benchmarking LLMs. Practical applications include ChatGPT analysis, OpenAI Sora, and Hugging Face tutorials. The course concludes with AI tools for job interviews, Agentic AI, Google Quantum AI, and deep learning interview questions.

Following are the topics covered in the Gen AI Full Course 2025:

00:00:00 Introduction to Gen AI Full Course 2025
00:04:37 What is Gen AI ?
00:05:22 Genrative AI Tutorial For Beginners
00:16:24 AI Carrers in 2025
00:24:33 Gen AI Engineer Roadmap
00:33:40 Top 10 AI Technologies in 2025
00:57:46 Introduction to Deepseek r1
01:04:45 Deep Learning Tutorial
01:13:02 What is Search GPT
01:15:17 Langchain Tutorial
02:11:52 Generative Adversarial Tutorial
02:21:14 What are GANS?
02:22:15 Transformers in AI
02:34:44 LSTM Tutorial
02:36:08 Introduction to LLM
03:37:21 What is Machine Learning?
04:33:53 Machine Learning Tutorial
06:39:16 Reinforcement Learning
06:59:07 ChatGPT Analyse
07:10:03 Openai sora
07:18:56 LLM Benchmarkeing
08:09:39 Hugging Face Tutorial
08:25:03 OpenAI ChatGPT o1 model
08:30:12 Gen AI Tools for Job Interview
09:07:14 Agentic AI Tutorial
09:15:37 Google Quantam AI
11:15:58 Deep learning Interview questions and Answers

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=_tESQLUw03g&utm_medium=Lives&utm_source=Youtube

A look at what Agentic AI is and then how to create an agentic AI agent using Copilot Studio then Semantic Kernel.

🔎 Looking for content on a particular topic? Search the channel. If I have something it will be there!
🤔 Due to the channel growth and number of people wanting help I no longer can answer or even read questions and they will just stay in the moderation queue never to be seen so please post questions to other sites like Reddit, Microsoft Community Hub etc.

▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 - Introduction
00:26 - Types of AI agent
05:27 - Agentic AI
09:35 - Self-improving?
11:26 - Agentic agents ARE AI agents
11:40 - Many expert agents
13:58 - Quality testing
14:56 - Creating Agentic agents
15:15 - Low code with Copilot Studio
17:43 - Using generative orchestration
20:19 - Adding triggers
22:55 - Pro code with Semantic Kernel
24:48 - Types of semantic kernel agent
26:28 - Multi-agent
28:53 - Multi-agent example code
32:25 - Viewing multi-agent interaction
34:18 - Governance
35:59 - Summary

▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Video whiteboard:
🔗 https://github.com/johnthebrit..../RandomStuff/raw/mas
► Semantic kernel agent sample repo:
🔗 https://github.com/microsoft/s....emantic-kernel/tree/

▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
📖 Recommended Learning Path for Azure
🔗 https://learn.onboardtoazure.com
🥇 Certification Content Repository
🔗 https://github.com/johnthebrit..../CertificationMateri
📅 Weekly Azure Update
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nEv7j
☁ Azure Master Class
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nGccb
⚙ DevOps Master Class
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nFr8R
💻 PowerShell Master Class
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nFq_h
🎓 Certification Cram Videos
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nHz2q
🧠 Mentoring Content
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nGHxN
❔ Questions? Maybe I answered it in my FAQ
🔗 https://savilltech.com/faq
👕 Cure Childhood Cancer Charity T-Shirt Channel Store
🔗 https://johns-t-shirts-store.creator-spring.com/

👂 Enable the subtitles and from there you can translate to your native language via the auto-translate feature in settings! https://youtu.be/v5b53-PgEmI for a demo of using this feature.

SUBSCRIBE ✅ https://www.youtube.com/channe....l/UCpIn7ox7j7bH_OFj7

#aiagents #AI #agenticai #copilotstudio #johnsavillstechnicaltraining #onboardtoazure

Join Maker School & get customer #1 guaranteed: https://skool.com/makerschool/about
Get all files from the course: https://drive.google.com/drive..../folders/1m182p16V_m
My silly podcast w Jack Roberts: www.youtube.com/@stackedpod

Summary ⤵️
The end-to-end, definitive course on Claude Code for beginners! I'll take you through a full four-hour masterclass where I start by teaching you how to set up and install Claude Code, how to configure your IDE or integrated development environment (we'll use Antigravity), how to utilize your CLAUDE.md file as your project brain, how to build your first project in Antigravity using Claude Code in under 15 minutes, advanced Claude Code functionality including hooks, slash commands, and more.

I also teach you how to spin up multiple Claude Code instances and have them work on your behalf; how to parallelize work using sub-agents; how to use Git work trees to accomplish many hours of work in just a few minutes; how to conserve tokens and use context management to crush your coding and software projects; how to deploy things to the cloud using Modal and related services, and in general... how to be awesome at Claude Code!

My software, tools, & deals (some give me kickbacks—thank you!)
🚀 Instantly: https://link.nicksaraev.com/instantly-short
📧 Anymailfinder: https://link.nicksaraev.com/amf-short
🤖 Apify: https://console.apify.com/sign-up (30% off with code 30NICKSARAEV)
🧑🏽‍💻 n8n: https://n8n.partnerlinks.io/h372ujv8cw80
📈 Rize: https://link.nicksaraev.com/rize-short (25% off with promo code NICK)

Follow me on other platforms 😈
📸 Instagram: https://www.instagram.com/nick_saraev
🕊️ Twitter/X: https://twitter.com/nicksaraev
🤙 Blog: https://nicksaraev.com

Why watch?
If this is your first view—hi, I’m Nick! TLDR: I spent six years building automated businesses with Make.com (most notably 1SecondCopy, a content company that hit 7 figures). Today a lot of people talk about automation, but I’ve noticed that very few have practical, real world success making money with it. So this channel is me chiming in and showing you what *real* systems that make *real* revenue look like.

Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏

Like, subscribe, and leave me a comment if you have a specific request! Thanks.

Chapters
00:00:00 Introduction to Claude Code
00:01:07 Learning the Basics of Claude Code
00:03:44 Setting Up Claude Code
00:08:05 Terminal vs. Graphical User Interface
00:12:23 Understanding IDEs
00:13:53 Exploring Visual Studio Code
00:19:11 Getting Started with Antigravity
00:24:01 Building Your First Web App with Claude Code
00:30:29 Utilizing the CLAUDE.md File (Project Brain)
00:34:40 Approaches to Website Design in CC +Antigravity
00:41:47 Importance of Verification in AI
00:54:42 Advanced Claude Code Functionality
00:55:13 Understanding the .claude Directory
02:01:24 Adjusting the Proposal Design
02:01:55 Testing Payment Functionality
02:05:20 Leveraging GitHub for Project Management
02:06:12 Setting Up the Project
02:07:50 The Power of Automation
02:13:53 Context Management Explained
02:19:56 Understanding MCP Tools
02:27:23 Strategies for Token Management
02:35:29 Creating Skills for Efficiency
02:41:15 The Structure of Skills
02:44:39 Building a New Skill
02:50:58 Introduction to Model Context Protocol
02:58:15 Evaluating Token Usage in MCPs
03:07:57 Gmail Label Insights
03:09:07 Exploring Claude Code Plugins
03:11:08 Introduction to Sub-Agents
03:12:15 Transforming Skills into Sub-Agents
03:14:14 Scaling Email Classification
03:18:54 Creating Useful Sub-Agents
03:26:27 Understanding Agent Teams
03:32:59 Enabling and Using Agent Teams
04:02:34 Utilizing Git Worktrees
04:03:08 Deploying APIs with Modal

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/aws-certification-training (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka "AWS CloudFront” video will introduce you to the fundamentals of AWS CloudFront and also explain various Content Delivery concepts.
00:00:00 Introduction
00:00:27 Agenda
00:00:49 What is AWS
00:02:40 Need for AWS CloudFront
00:04:47 What is AWS CloudFront
00:05:23 How AWS CloudFront Delivers Content
00:08:01 Applications
00:10:04 Demo

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
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This Data Science tutorial will help you in understanding what is Data Science, why we need Data Science, the prerequisites for learning Data Science, what a Data Scientist does, the Data Science lifecycle with an example, and career opportunities in the Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about.

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In this interactive session on "Top Networking Commands," we will look at some of the preferred commands applied in the window's command prompt application to access information and configure network settings for our respective devices. In this demo session, you will understand the execution and the functioning of multiple network commands for better handling of our systems.

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04:40 netsh
04:58 tasklist
05:26 taskkill
05:47 systeminfo
06:01 wmic

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Learn Calculus 1 in this full college course.

This course was created by Dr. Linda Green, a lecturer at the University of North Carolina at Chapel Hill. Check out her YouTube channel: https://www.youtube.com/channe....l/UCkyLJh6hQS1TlhUZx

This course combines two courses taught by Dr. Green. She teaches both Calculus 1 and a Calculus 1 Corequisite course, designed to be taken at the same time. In this video, the lectures from the Corquisite course, which review important Algebra and Trigonometry concepts, have been interspersed with the Calculus 1 lectures at the places suggested by Dr. Green.

⭐️ Prerequisites ⭐️
🎥 Algebra: https://www.youtube.com/watch?v=LwCRRUa8yTU
🎥 Precalculus: https://www.youtube.com/watch?v=eI4an8aSsgw

⭐️ Lecture Notes ⭐️
🔗 Calculus 1 Corequisite Notes: http://lindagreen.web.unc.edu/....files/2020/08/course
🔗 Calculus 1 Notes: http://lindagreen.web.unc.edu/....files/2019/12/course

⭐️ Course Contents ⭐️
(0:00:00) [Corequisite] Rational Expressions
(0:09:40) [Corequisite] Difference Quotient
(0:18:20) Graphs and Limits
(0:25:51) When Limits Fail to Exist
(0:31:28) Limit Laws
(0:37:07) The Squeeze Theorem
(0:42:55) Limits using Algebraic Tricks
(0:56:04) When the Limit of the Denominator is 0
(1:08:40) [Corequisite] Lines: Graphs and Equations
(1:17:09) [Corequisite] Rational Functions and Graphs
(1:30:35) Limits at Infinity and Graphs
(1:37:31) Limits at Infinity and Algebraic Tricks
(1:45:34) Continuity at a Point
(1:53:21) Continuity on Intervals
(1:59:43) Intermediate Value Theorem
(2:03:37) [Corequisite] Right Angle Trigonometry
(2:11:13) [Corequisite] Sine and Cosine of Special Angles
(2:19:16) [Corequisite] Unit Circle Definition of Sine and Cosine
(2:24:46) [Corequisite] Properties of Trig Functions
(2:35:25) [Corequisite] Graphs of Sine and Cosine
(2:41:57) [Corequisite] Graphs of Sinusoidal Functions
(2:52:10) [Corequisite] Graphs of Tan, Sec, Cot, Csc
(3:01:03) [Corequisite] Solving Basic Trig Equations
(3:08:14) Derivatives and Tangent Lines
(3:22:55) Computing Derivatives from the Definition
(3:34:02) Interpreting Derivatives
(3:42:33) Derivatives as Functions and Graphs of Derivatives
(3:56:25) Proof that Differentiable Functions are Continuous
(4:01:09) Power Rule and Other Rules for Derivatives
(4:07:42) [Corequisite] Trig Identities
(4:15:14) [Corequisite] Pythagorean Identities
(4:20:35) [Corequisite] Angle Sum and Difference Formulas
(4:28:31) [Corequisite] Double Angle Formulas
(4:36:01) Higher Order Derivatives and Notation
(4:39:22) Derivative of e^x
(4:46:52) Proof of the Power Rule and Other Derivative Rules
(4:56:31) Product Rule and Quotient Rule
(5:02:09) Proof of Product Rule and Quotient Rule
(5:10:40) Special Trigonometric Limits
(5:17:31) [Corequisite] Composition of Functions
(5:29:54) [Corequisite] Solving Rational Equations
(5:40:02) Derivatives of Trig Functions
(5:46:23) Proof of Trigonometric Limits and Derivatives
(5:54:38) Rectilinear Motion
(6:11:41) Marginal Cost
(6:16:51) [Corequisite] Logarithms: Introduction
(6:25:32) [Corequisite] Log Functions and Their Graphs
(6:36:17) [Corequisite] Combining Logs and Exponents
(6:40:55) [Corequisite] Log Rules
(6:49:27) The Chain Rule
(6:58:44) More Chain Rule Examples and Justification
(7:07:43) Justification of the Chain Rule
(7:10:00) Implicit Differentiation
(7:20:28) Derivatives of Exponential Functions
(7:25:38) Derivatives of Log Functions
(7:29:38) Logarithmic Differentiation
(7:37:08) [Corequisite] Inverse Functions
(7:51:22) Inverse Trig Functions
(8:00:56) Derivatives of Inverse Trigonometric Functions
(8:12:11) Related Rates - Distances
(8:17:55) Related Rates - Volume and Flow
(8:22:21) Related Rates - Angle and Rotation
(8:28:20) [Corequisite] Solving Right Triangles
(8:34:54) Maximums and Minimums
(8:46:18) First Derivative Test and Second Derivative Test
(8:51:37) Extreme Value Examples
(9:01:33) Mean Value Theorem
(9:09:09) Proof of Mean Value Theorem
(0:14:59) [Corequisite] Solving Right Triangles
(9:25:20) Derivatives and the Shape of the Graph
(9:33:31) Linear Approximation
(9:48:28) The Differential
(9:59:11) L'Hospital's Rule
(10:06:27) L'Hospital's Rule on Other Indeterminate Forms
(10:16:13) Newtons Method
(10:27:45) Antiderivatives
(10:33:24) Finding Antiderivatives Using Initial Conditions
(10:41:59) Any Two Antiderivatives Differ by a Constant
(10:45:19) Summation Notation
(10:49:12) Approximating Area
(11:04:22) The Fundamental Theorem of Calculus, Part 1
(11:15:02) The Fundamental Theorem of Calculus, Part 2
(11:22:17) Proof of the Fundamental Theorem of Calculus
(11:29:18) The Substitution Method
(11:38:07) Why U-Substitution Works
(11:40:23) Average Value of a Function
(11:47:57) Proof of the Mean Value Theorem for Integrals

Learn how to design and use databases. You will create a graphical Windows application with C# that can display and modify data from a mySQL database server.

You need Microsoft Windows to follow along.

✏️ @shadsluiter is your instructor for this course. He is a Professor Of Computer Science and Software Development at Grand Canyon University.

🔗 Professor Sluiter has more courses here: http://studycoding.org

⭐️ Contents ⭐️
⌨️ Course Outline
⌨️ Create a new database in mySQL
⌨️ How to write sql queries
⌨️ Create a GUI front end app
⌨️ Create a Data Access Object and connect to a database
⌨️ Query the database
⌨️ Add a picture box to display album art
⌨️ Insert new records into the database
⌨️ Create a second table and a foreign key
⌨️ Table joins part a
⌨️ Table joins part b
⌨️ Design with UML and ER diagrams
⌨️ Perform compound select actions
⌨️ Delete data from a table
⌨️ Add a video player to the app
⌨️ Extended Features

⌨️ (0:00:00) Introduction
⌨️ (0:04:33) Tools we’ll need
⌨️ (0:08:49) Creating a new database
⌨️ (0:12:16) Saving the data
⌨️ (0:16:04) How to fill in a table
⌨️ (0:20:26) Select star from albums
⌨️ (0:23:44) How to delete backticks
⌨️ (0:27:16) Intro to the series
⌨️ (0:34:40) How to delete the backticks
⌨️ (0:37:49) Building the database app
⌨️ (0:42:22) Start of the demo
⌨️ (0:46:33) Creating an album class
⌨️ (0:51:19) Adding two albums to the list
⌨️ (0:55:11) Connecting the database to the database
⌨️ (0:58:08) Where does the data source live?
⌨️ (1:04:42) Setting up the database
⌨️ (1:07:53) Running the app
⌨️ (1:10:37) How to create searches
⌨️ (1:13:55) Programming the new search button
⌨️ (1:18:12) The problem with parameter queries
⌨️ (1:21:56) Adding a picture to the screen
⌨️ (1:26:12) How to test the problem
⌨️ (1:30:45) Adding new records to the database
⌨️ (1:39:22) Adding an integer to the database
⌨️ (1:43:27) Adjusting the column titles
⌨️ (1:46:13) Execute non-query query
⌨️ (1:49:06) Creating a foreign key
⌨️ (1:51:47) Install mysql workbench
⌨️ (1:55:05) Connecting to the database
⌨️ (1:59:04) Configuring the tracks table
⌨️ (2:06:49) We have a problem with Mamp synchronization
⌨️ (2:10:01) Inserting data into the tracks table
⌨️ (2:13:08) Selecting items from the database
⌨️ (2:16:46) Changes to the definition of tracks
⌨️ (2:20:55) Fixing the problem with the binding source
⌨️ (2:24:12) Foreign keys and joins
⌨️ (2:27:36) Selecting from the table
⌨️ (2:31:15) Changing the query using a join
⌨️ (2:39:10) Uml diagrams for our current application
⌨️ (2:41:58) Associative vs aggregation
⌨️ (2:45:47) Introduction to compound queries
⌨️ (2:49:53) Fetching the list of all tracks
⌨️ (2:53:03) Using the delete statement to delete tracks
⌨️ (2:56:35) The problem with converting an integer to an integer
⌨️ (3:00:33) Deleting a track by deleting its Id

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
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--

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The world is entering a new era of warfare, with cyber and autonomous weapons taking center stage. These technologies are making militaries faster, smarter, more efficient. But if unchecked, they threaten to destabilize the world.
DW takes a deep dive into the future of conflict, uncovering an even more volatile world. Where a cyber intrusion against a nuclear early warning system can unleash a terrifying spiral of escalation; where “flash wars” can erupt from autonomous weapons interacting so fast that no human could keep up.
Germany’s Foreign Minister Heiko Maas tells DW that we have already entered the technological arms race that is propelling us towards this future. “We’re right in the middle of it. That’s the reality we have to deal with.”
And yet the world is failing to meet the challenge. Talks on controlling autonomous weapons have repeatedly been stalled by major powers seeking to carve out their own advantage. And cyber conflict has become not just a fear of the future but a permanent state of affairs.
DW finds out what must happen to steer the world in a safer direction, with leading voices from the fields of politics, diplomacy, intelligence, academia, and activism speaking out.

Chapters
00:00 - Introduction
02:37 - The Cyber Nuclear Nightmare
17:05 - Flash Wars And Autonomous Weapons
30:12 - Trading Markets And Flash Crashes
31:45 - Time To Act

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In this tutorial, we'll explore how RAG works, why it’s essential for modern AI, and how it solves the limitations of traditional language models. Whether you're a developer, tech enthusiast, or just curious about AI advancements, this guide will show you how RAG is shaping the future of AI by making models smarter and more relevant.RAG allows AI models to search for real-time information from external sources, combine it with their existing knowledge, and generate accurate, up-to-date responses. It’s like giving AI the ability to "Google" for answers while keeping their knowledge sharp.

00:00 Introduction

-- Frequently Asked Questions

✅ Question 1 What is Retrieval Augmented Generation (RAG)?

Answer:RAG is a hybrid AI technique that combines two key processes: retrieving external data from a knowledge base or web and then generating a response based on both the retrieved information and the model’s pre-trained knowledge. This allows the model to provide more accurate and up-to-date answers compared to traditional language models that only rely on their training data.


✅ Question 2 How does RAG improve the accuracy of AI models?

Answer:RAG enhances accuracy by pulling in relevant, real-time information from external sources. Traditional language models can only answer questions based on data they were trained on, which can become outdated. With RAG, AI models can retrieve the latest information, combine it with what they already know, and generate a response that’s both current and highly informed.


✅ Question 3 What are the main applications of RAG?

Answer:RAG is used in various fields such as customer support, healthcare, finance, and legal research. It powers AI models to deliver real-time, accurate responses by retrieving the most relevant and recent data. For instance, it’s used in chatbots for better customer service, in healthcare for retrieving the latest research, and in search engines to provide more relevant search results.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
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- Neural Networks
- Computer Vision
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Unpacking the multilayer perceptrons in a transformer, and how they may store facts
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
An equally valuable form of support is to share the videos.

AI Alignment forum post from the Deepmind researchers referenced at the video's start:
https://www.alignmentforum.org..../posts/iGuwZTHWb6DFY

Anthropic posts about superposition referenced near the end:
https://transformer-circuits.p....ub/2022/toy_model/in
https://transformer-circuits.p....ub/2023/monosemantic

Some added resources for those interested in learning more about mechanistic interpretability, offered by Neel Nanda

Mechanistic interpretability paper reading list
https://www.alignmentforum.org..../posts/NfFST5Mio7BCA

Getting started in mechanistic interpretability
https://www.neelnanda.io/mecha....nistic-interpretabil

An interactive demo of sparse autoencoders (made by Neuronpedia)
https://www.neuronpedia.org/gemma-scope#main

Coding tutorials for mechanistic interpretability (made by ARENA)
https://arena3-chapter1-transf....ormer-interp.streaml

Sections:
0:00 - Where facts in LLMs live
2:15 - Quick refresher on transformers
4:39 - Assumptions for our toy example
6:07 - Inside a multilayer perceptron
15:38 - Counting parameters
17:04 - Superposition
21:37 - Up next

------------------

These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/

All code for specific videos is visible here:
https://github.com/3b1b/videos/

The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5

------------------

3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.

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High Quality HDR 12K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 12k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.

🎦 Note: To view at 8K 60P you will need to use Chrome & opera.

🎦 All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.

= I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.

Editing Video by
PREETI NAAGAR

This video created for entertainment informative, educational purposes and Film & Animation.
( Wild animals , Nature, Timelapse nature, Insect )


Editing Software
Adobe premiere pro

ALL CREDIT GOES TO YOUTUBE

Copyright
= All The footage Was Edited And Color Corrected By Me.
= Video Footage Copyright Under License.

All other rights reserved.

#12kHDR #DolbyAtmos #DolbyVision

Welcome to this No Black Box Machine Learning Course in JavaScript. It’s a course where we code without using libraries because it’s the best way to learn all inner workings of a machine learning system and you’ll greatly improve your software development skills as well.

The goal in this course is to build a web app that learns to recognize drawings. This is phase 2, where we increase the accuracy of the method we developed in Phase 1. We do this by implementing more sophisticated features and using other classification methods (like the Neural Network). In Phase 2 we also learn about Data Cleaning, Confusion Matrices, Geometry and the difference between Vector and Raster data (pixels).

🎥 No Black Box Phase 1 Course: https://youtu.be/vDDjtwQDw2k

✏️ Course created by @Radu (PhD in Computer Science)

📁 Data: https://github.com/gniziemazity/drawing-data
💻 Code: https://github.com/gniziemazity/ml-course-phase-2
💻 Ilya's code: https://gist.github.com/id-ily....ch/8630fb273e5c5a0b6
💻 Neural Network Code: https://github.com/gniziemazity/neural-network
Phase 3 Poll: https://forms.office.com/e/QTMCLLaV24

⭐️ Other Resources ⭐️
Recognizer we build in this course: https://radufromfinland.com/projects/ml/recognizer
Euclidean Distance Video: https://youtu.be/3rPwfmrCwVw
Interpolation Video: https://youtu.be/J_puRs40GhM
Draw the Portal Game Tutorial (Inspired from Dr. Strange): https://youtu.be/0SxiyLk2IMM
Why the Circle has the Largest Area: https://youtu.be/CFBa2ezTQJQ
Recognizing drawings via webcam: https://youtu.be/QXB1ytG95gs
Self-driving Car Course: https://youtu.be/Rs_rAxEsAvI
Discord Server: https://discord.com/invite/gJFcF5XVn9
Scikit-learn documentation: http://scikit-learn.org/stable..../modules/generated/s

⭐️ Contents ⭐️
0:00:00 Introduction
0:04:07 Phase 1 Code Review
0:23:11 Data Cleaning
0:41:30 Confusion Matrix
1:16:00 Euclidean Distance Marker
1:16:06 Measuring the Elongation
1:39:23 Measuring the Roundness
1:59:20 Vector vs Raster (Pixels)
2:22:40 Neural Networks
3:04:49 Optimizing Neural Networks
3:25:15 Deep Neural Networks

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
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--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai

To learn more about enrolling in this course visit: https://online.stanford.edu/co....urses/cs336-language

To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/

Percy Liang
Associate Professor of Computer Science
Director of Center for Research on Foundation Models (CRFM)

Tatsunori Hashimoto
Assistant Professor of Computer Science

View the entire course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

🔥 Prompt Engineering Course: https://www.edureka.co/prompt-....engineering-generati
This informative video on Prompt Engineering for Code Generation will help you understand prompt engineering for code generation, its principles, and a few practical questions. Gain insights into how prompt engineering for code generation is shaping various industries and staying ahead in the dynamic field of artificial intelligence. In this informative video of Prompt Engineering For Code Generation, we will cover essential topics such as:

✅ 00:00 - Introduction
✅ 00:58 - Prompt engineering for code generation
✅ 01:32 - Principles of Prompt Engineer
✅ 05:15 - Prompt engineering for coding practical examples

✅ Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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- - - - - - - - - - - - - -

About Prompt Engineering Course
A streamlined curriculum covering fundamental engineering concepts in physics, electronics, and mathematics is provided by the Prompt Engineering Course. Through projects and assessments, it places a strong emphasis on experiential learning, preparing students for careers in entry-level engineering or for further study.
- - - - - - - - - - - - - -

Who should go for this course?
The Prompt Engineering Course is appropriate for people who want to work in engineering or related fields and need a structured introduction to basic ideas and practical experience. It serves both novices and those seeking to reinforce their grasp of fundamental engineering concepts.

- - - - - - - - - - - - - -
What are the Prerequisites for this course?
Although there are no formal prerequisites for the Prompt Engineering Course, it usually helps to have a basic understanding of mathematics and physics. It is intended for people who want to learn the fundamentals of engineering in order to pursue careers or further education in engineering-related fields.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
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🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=oHm6uf9YOt0&utm_medium=DescriptionFirstFold&utm_source=Youtube
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🔥Purdue - Post Graduate Program in Data Analytics - https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=oHm6uf9YOt0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - Data Analytics Bootcamp (US Only) - https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=oHm6uf9YOt0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitg-generative-ai-data-analytics-program?utm_campaign=oHm6uf9YOt0&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Excel Data Analytics Full Course, from Beginners to Advanced video by simplilearn, will guide you through creating data visualisations and charts like a Funnel Chart in Excel, leveraging advanced functions such as SUMIFS, SUMPRODUCT, and AVERAGEIFS formulas, and mastering Data Visualization techniques, including building Excel Charts like a pro and creating multiple dependent DROP DOWN LISTS. Additionally, you'll learn Data Analytics using AI, how to use Microsoft Power Query for Data Transformation, and importing Excel data into tools like MySQL Workbench and Power BI, alongside learning about the distinctions between a Database and a Data Warehouse. With bonus content covering Automated Payslip Generators, AI in Excel, and tools like ChatGPT and Google Gemini for data analytics, you'll be well-equipped for 2024 with the top Excel formulas and insights for analysts.

The Full course will cover the following topics

00:00:00 Introduction to Excel Full Course
05:34:44 Excel Full Course Beginners to Advanced
05:38:08 How To Create A Funnel Chart In Excel
05:42:10 Big Data in 5 minutes
05:50:28 Data Analyst Roadmap
05:52:32 Data Science Vs Data Analyst
06:02:55 Data Science Vs Data Analyst
06:25:18 Data Analytics using AI
06:31:31 How To Use The Scan Function in Excel ?
06:41:49 How To Use IF Formula In Excel - ADVANCED TIPS
06:44:12 SUMIFS Formula in Excel
07:21:22 Data VisuALIZATION In EXCEL
07:27:08 Compare Two Lists And Find A Match In Excel
07:31:20 Build Excel Charts Like A Pro
07:44:34 Create Multiple Dependent DROP DOWN LIST In EXCEL
07:48:27 SUMPRODUCT Excel
07:50:18 AVERAGEIFS Formula in Excel
08:08:45 How to use microsoft power query
08:14:10 How To Import Excel Data File To MySQL Workbench
08:20:49 How To Import Excel Data In Power BI
08:22:33 How to Import Data from Web to Excel
08:52:31 Master DATA CLEANING In EXCEL
08:53:25 Database Vs Data Warehouse
09:03:46 Database Vs Data Warehouse
09:22:06 Excel Dashboard For Beginners
09:26:41 How To Use AI In Excel ?
09:42:07 How To Build Automated Payslip Generator In Excel
09:51:28 Copilot In EXCEL
10:04:10 Learn EXCEL Using Google Gemini
10:19:47 ChatGPT And Excel For Data Analytics
10:36:08 Data Transformation
11:07:07 ChatGPT for Excel Dashboard
11:30:53 Top 10 Important Excel Formulas For Analysts In 2024

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#exceldataanalytics #exceltraining #excelformulasandfunctions #exceldatavisualization #excelcourse #simplilearn #simplilearn #2024

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

Key Features
✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 8X higher live interaction in live online classes by industry experts
✅ Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
✅ Master Classes delivered by Purdue faculty and IBM experts
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Resume preparation and LinkedIn profile building
✅ 1:1 mock interview
✅ Career accelerator webinars

Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=oHm6uf9YOt0&utm_medium=Description&utm_source=youtube

MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructor: Jake Xia
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this video Jake Xia provides an overview of key financial concepts, including market structure, types of financial products like stocks, bonds, derivatives, and the roles of various market participants. He also introduces investment strategies, emphasizing the importance of understanding personal financial goals, risk management, and the use of mathematical models in pricing and trading, culminating in a practical trading game to apply these concepts.

License: Creative Commons BY-NC-SA
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