🔥Enroll for the Artificial Intelligence Course Certification: https://intellipaat.com/artifi....cial-intelligence-de

#ArtificialIntelligenceCourse2024 #AITutorialForBeginners #AIFullCourse #Intellipaat

This Artificial Intelligence Course 2024 covers all the important skill sets required to get you an AI Engineer!

In this Artificial Intelligence Course 2024, we will cover Introduction to Artificial Intelligence, Introduction to Keras, TensorFlow, and Data Handling with NumPy. Then we will into Neural Networks, Multi-layered Neural Networks, and Artificial Neural Networks. Later, we will also dive into the Introduction to Deep Learning, Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and GPU in Deep Learning. Then we will conclude this AI Tutorial For Beginners with Artificial Intelligence Interview Questions

This Artificial Intelligence Course suits those who aspire to become AI Engineers

🔵 Following topics are covered in this Artificial Intelligence Course 2024
00:00:00 - Introduction to Artificial Intelligence Course
00:02:50 - What is Artificial Intelligence
00:06:41 - Why Artificial Intelligence
00:57:34 - Machine Learning Types
01:09:00 - Introduction to Deep Learning
02:51:03 - Benefits of Using Artificial Neural Network
02:56:17 - Deep Learning Frameworks
03:09:21 - Data Handling with NumPy
03:31:33 - Introduction to TensorFlow
05:42:50 - Understanding Epoch
06:11:05 - Introduction to Keras
07:06:11 - Predefined Neural Network Layers
09:09:16 - Problem With a Fully Connected Network
09:19:23 - Convolutional Neural Network
10:42:25 - Rectified Linear Units
11:16:04 - Artificial Intelligence Interview Questions

✅ How can I learn a full Artificial Intelligence Course?
For artificial intelligence, you should study:
Computer Science: Get fundamentals right.
Programming Language: learn Python or Java, for implementing AI algorithms.
Mathematics: Especially statistics, probability, and calculus.
Machine Learning: Understanding how machines learn from data is critical.

✅Is the Artificial Intelligence Course worth learning in 2024?
The increasing demand for AI professionals, the potential for career growth, and the problem-solving capabilities it offers make AI a valuable skill set to acquire

➡ About the Course
The artificial intelligence course is in collaboration with IITM Pravartak. This AI course helps you master AI and machine learning (ML) skills like data science, CNN, perceptron, TensorFlow, neural networks, NLP, etc. via hands-on projects. Learn AI from the IIT Madras faculty. Enroll now in the AI online course certification to become a certified artificial intelligence engineer.

➡Who should take this Artificial Intelligence Course?
Professionals working in analytics, data science, e-commerce, search engines, etc.
Software professionals and new graduates seeking a career change

✅ Key Features - (Course Features)
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras Faculty and Industry Practitioners
👉🏼1:1 with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼No-cost EMI Option

➡ What’s Covered in This Program? -
✅ Preparatory Session - Linux and Python
✅Data Wrangling with SQL
✅Python With Data Science
✅Linear Algebra and Advanced Statistics
✅Machine Learning
✅Supervised and Unsupervised Learning in ML
✅Performance Metrics
✅Deep Learning Using TensorFlow
✅Data Science Capstone Project
✅Business Case Studies

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⏩Artificial Intelligence Tutorial Playlist: https://www.youtube.com/playli....st?list=PLVHgQku8Z93

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🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Top 10 Machine Learning Algorithms' covers the brief introduction of the top 10 algorithms used in Machine Learning. Following are the topics discussed

Why Machine Learning?
What is Machine Learning?
Why Machine Learning Algorithms
Top 10 Machine Learning Algorithms

Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

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#edureka #machineLearningEdureka #Top10MachineLearningAlgorithms #machineLearning #machineLearningPython #machineLearningTutorial

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How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.

Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
Who should go for this Machine Learning Certification Training using Python?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-
00:00:00 Introduction
00:04:16 What is Generative AI?
00:17:44 Generative AI Examples
00:36:23 Generative AI Tools
00:54:10 What Is Artificial Intelligence?
01:00:14 Types Of Artificial Intelligence
01:10:29 What is Deep Learning
01:21:42 TensorFlow Explained
01:46:28 Convolutional Neural Network
02:07:04 Artificial Neural Network
02:38:55Recurrent Neural Networks
03:07:38 Keras
03:32:58 Generative AI Course - Part 1 - What is LLM?
03:52:42 What Are GANs?
04:05:03 Transformers In Gen AI
04:12:42 Prompt Engineering Explained
04:26:27 Prompt Engineering for Code Generation
04:35:46 How to Become a Prompt Engineer
04:40:50 Building a Chatbot with Prompt Engineering
04:57:00 GitHub Copilot
05:14:25 Generative AI Course - Part 2 - What is LangChain?
05:31:40 Generative AI Course - Part 3 - What is RAG?
05:54:33 Generate Images Using DC-GAN
06:19:07 Midjourney
06:37:28 OpenAI API using Python
06:45:43 Generative AI in Marketing
06:56:13 What is Agentic AI?
07:06:13 The Future of Generative AI and Job Opportunities
07:11:57 Nvidia's Latest Breakthrough in Generative AI
07:18:34 DeepSeek vs OpenAI: Who Wins the AI Race?
07:31:07 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
07:35:30 DeepSeek Training Cost
07:40:59 Exploring the 07:48:29 Ethics of Generative AI
Dangers of AI
08:11:15 Artificial Intelligence Project Ideas
08:24:52 Top 10 Benefits Of Artificial Intelligence
08:36:40 GenAI Roadmap
08:45:25 Top 5 Generative AI Career Opportunities
09:01:38 Generative AI Interview Questions

Explore *Generative AI* with this Beginner to Advanced Full Course! Learn key concepts like LLMs, GANs, Transformers, Prompt Engineering, and AI Ethics with hands-on projects. Whether you're a beginner or an AI enthusiast, this course will guide you step-by-step to mastering Generative AI. Watch now and start building with AI today

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🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv


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

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)"

Grokking Machine Learning Book: https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt

A friendly introduction to the main algorithms of Machine Learning with examples.
No previous knowledge required.

What is Machine Learning: (0:05)
Linear Regression: (2:25)
Gradient Descent: (4:10)
Naive Bayes: (6:20)
Decision Trees: (10:35)
Logistic Regression: (13:20)
Neural networks: (17:00)
Support Vector Machines: (18:50)
Kernel trick: (20:05)
K-Means clustering: (26:00)
Hierarchical Clustering: (28:30)
Summary: (29:40)

(Thanks to Nick Kartha for breaking down the topics!)

If you like this, there's an extended version in this playlist:
https://www.youtube.com/playli....st?list=PLAwxTw4SYaP

How to build your own Tiny Language Model from scratch - Luca Gilli - PyCon Italia 2025

Elevator Pitch:
Join us to discover Tiny Language Models: ultra-compact, resource-efficient AI tools that deliver impressive results. In this session, you’ll learn how to create your own model, from data preparation to training. These models combine innovation with efficiency, making AI more accessible than ever.

Learn more: https://2025.pycon.it/event/ho....w-to-build-your-own-

#MachineLearning #DeepLearning #NaturalLanguageProcessing

🔥Digital Marketing Specialist - https://www.simplilearn.com/master-in-digital-marketing?utm_campaign=eDq9GHU84nQ&utm_medium=Lives&utm_source=Youtube
🔥Professional Certification in Digital Marketing (India Only) - https://www.simplilearn.com/professional-digital-marketing-program?utm_campaign=eDq9GHU84nQ&utm_medium=Lives&utm_source=Youtube

This video on Search Engine Marketing Full Course 2026 by Simplilearn, explains how paid advertising works on search engines like Google. You’ll learn Google Ads basics, keyword targeting, ad creation, bidding strategies, and campaign optimization. The course also covers conversion tracking, performance analysis, and ROI-focused marketing. With real-world examples, you’ll understand how businesses drive traffic and sales using paid search. Perfect for beginners, marketers, and professionals looking to master performance marketing.

Related Videos:
✅ 1. SEO Full Course 2026 - https://youtu.be/HJIwjXf9YFs
✅ 2. Digital Marketing Full Course 2026 - https://youtube.com/live/nZRcNYD3yNs
✅ 3. Digital Marketing Roadmap For 2026 - https://youtu.be/uTNi0kXeJ3Q
✅ 4. How To Start Career In Digital Marketing? - https://youtu.be/yPzHibZF1Yk
✅ 5. Top 6 Digital Marketing Trends in 2026 - https://youtu.be/-OHLJ0bSdjg

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➡️ About Digital Marketing Specialist

Experience live and interactive learning with this comprehensive digital marketing masters program. Learn to leverage ChatGPT and other generative AI tools for digital marketing. Additionally, you will receive a Meta Certified Digital Marketing Associate exam in the program.

Key Features:
✅ Key Features
✅ Industry recognised Digital Marketing Specialist certificate from Simplilearn
✅ Live classes delivered by digital marketing industry experts
✅ Learn to Leverage ChatGPT and the latest generative AI tools for digital marketing
✅ Free Meta Certified Digital Marketing Associate exam voucher worth $99
✅ Learn 35+ digital marketing tools
✅ 5 Capstone problem statements and 15+ course-end projects
✅ 10+ case studies from brands like Adidas, KFC, Nike, Intel, etc.

Skills Covered:
✅ Website Creation
✅ Behavioral Marketing
✅ Keyword Research
✅ Search Engine Optimization
✅ Search Engine Marketing
✅ Campaign Management
✅ Social Media Marketing
✅ Mobile Marketing
✅ Content Marketing
✅ Content Strategy
✅ Strategies for Paid Campaigns
✅ Analytics ROI amp Evaluation
✅ AI Automation amp Emerging Technology
✅ Gen Artificial Intelligence AI Tools

👉 Learn More At: https://www.simplilearn.com/master-in-digital-marketing?utm_campaign=eDq9GHU84nQ&utm_medium=Lives&utm_source=Youtube

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This Azure tutorial video will help you understand need of cloud computing, what is cloud computing, what is Azure, Azure services and more.
🔥Azure Cloud Architect Program (Discount Coupon: YTBE15): https://www.simplilearn.com/azure-cloud-architect-certification-training-course?utm_campaign=Azure-3Arj5zlUPG4&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Caltech Cloud Computing Bootcamp(US Only): https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=Azure-3Arj5zlUPG4&utm_medium=DescriptionFirstFold&utm_source=youtube

Cloud infrastructure is set to dominate the IT space. Microsoft Azure is growing faster than any other cloud services provider with an incredible 154% YOY growth rate. The data is impressive and quite convincing as to why you could consider learning cloud technologies like MS Azure. The opportunities for Microsoft Azure certified aspirants have drastically multiplied in recent years. Cloud technologies like Azure are evolving at a rapid clip, outpacing the average rate of growth in the IT sector as a whole. Now, let us get started and understand what is Azure and how does it work along with the various Azure services.

Below topics are explained in this Azure tutorial for beginners:
1. Why cloud computing? ( 00:28 )
2. What is cloud computing? ( 01:39 )
3. What is Azure? ( 03:58 )
4. Azure services ( 05:41 )
5. Uses of Azure ( 09:16 )
6. Key takeaways ( 09:58 )

🔥 Enroll for FREE Azure Course & Get your Completion Certificate: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=Skillup-Azure&utm_medium=DescriptionFirstFold&utm_source=youtube

Subscribe to our channel for more Microsoft Azure Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi

📚 For a more detailed understanding on Azure, do visit: https://www.simplilearn.com/what-is-azure-article?&utm_medium=Description&utm_source=youtube
You will find in-depth content on Azure. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.

Download the Cloud Computing Career Guide to explore and step into the extensive world of Cloud, and follow the path towards your dream career- https://www.simplilearn.com/cloud-computing-career-guide-pdf?utm_campaign=What-is-Azure-3Arj5zlUPG4&utm_medium=Tutorials&utm_source=youtube

Learn more at https://www.slideshare.net/Sim....plilearn/what-is-azu

Watch more videos on Microsoft Azure: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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➡️ 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.

👉Learn More at: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=Azure-3Arj5zlUPG4&utm_medium=Description&utm_source=youtube

✅ Key Features
- Caltech CTME Post Graduate Certificate
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This video is a friendly introduction to quantum computing and machine learning. No knowledge required.

This video is part of a blog post with Zapata computing:
https://www.zapatacomputing.co....m/why-generative-mod

QCBM Paper: https://www.nature.com/articles/s41534-019-0157-8

Video 2: Non-gradient optimizers, CMA-ES and PSO https://www.youtube.com/watch?v=oi5GQvJzy5I
Video 3: The mathematics behind qubits (coming soon!)

Introduction: (0:00)
Quantum and classical machine learning: (1.46)
Probability: (5:12)
The qubit: (8:23)
Quantum measurement: (12:08)
Qubits as generative models: (13:42)
Measuring with different bases: (14:15)
Quantum gates: (22:27)
Quantum entanglement: (25:23)
Entanglement gates: (35:31)
Quantum machine learning (36:04)
Training models: (39:50)
Loss functions and KL divergence: (47:55)
Labs, code, etc: (49:59)

I sit down with my dear friend Vin (Internet Vin) for a deep, hands-on walkthrough of how he uses Obsidian and Claude Code together as a thinking partner, idea generator, and personal operating system. Vin demonstrates live how Claude Code can read, reference, and surface patterns across an entire Obsidian vault of interlinked markdown files — turning years of personal notes into actionable insights, project ideas, and even custom commands. This episode covers everything from the basic setup to advanced workflows like tracing how ideas evolve over time, generating contextual startup ideas, and delegating tasks to autonomous agents. If you are serious about getting the most out of LLMs, this is the episode that shows you how your own writing becomes the fuel.

Timestamps
00:00 – Intro
02:10 – What Is Claude Code?
06:45 – What Is Obsidian?
10:28 – Obsidian CLI: Giving Claude Code Access to Your Vault
14:53 – Thinking Tools: Ghost, Challenge, Emerge, Drift, Ideas, Trace
22:51 – The Role of Reflection in Building a Powerful Vault
25:15 – How This Relates to OpenClaw (Autonomous Agents)
29:13 – Live Demo: /Connect — Bridging Two Domains
31:25 – Meeting Notes & External Info
33:23 – Why Vin Keeps a Strict Separation: Human-Written vs. Agent-Written
35:42 – How Claude Code uses Obsidian
41:46 – Live Demo: /Ideas — Generating Actionable Ideas from Your Vault
47:10 – The /Graduate Command
50:29 – Why Obsidian Is the Missing Link for AI Companies
54:53 – The Alpha: Why 99.99% of People Won't Do This
57:38 – Closing Thoughts & Where to Follow Vin

Key Points

* Claude Code is a command-line agent that can control your computer through natural language — and its power multiplies when you feed it rich, persistent context files instead of re-explaining projects every session.
* Obsidian is uniquely valuable because it sits on top of interlinked markdown files; the new Obsidian CLI lets Claude Code see both the files and the relationships between them.
* Vin built custom slash commands (/trace, /connect, /ideas, /ghost, /drift, /challenge) that let him use Claude Code as a thinking partner — surfacing latent patterns, contradictions, and ideas he would never see on his own.
* Writing and daily reflection are the engine of the entire system: the more you write, the more context the agent has, and the more it can do for you.
* Markdown files are the real oxygen of LLMs; if you are serious about building a personal OS with AI, a centralized note-taking tool built on markdown is foundational

Numbered Section Summaries

1. Obsidian as an Interlinked Knowledge Base

Vin introduces Obsidian as an interface that sits on top of a folder of markdown files, with the critical addition of backlinks — connections between files that mirror how the brain forms associations. He walks through his own vault, showing how daily notes, project files, and notes on people all link together in a visual graph.

2. Obsidian CLI: The Bridge Between Your Vault and Claude Code

The real breakthrough comes from Obsidian CLI, which gives Claude Code access to both the files and their interrelationships. This means the agent can see that a note about filmmaking is connected to a note about world building, and can surface cross-domain patterns you have been circling for months without realizing it.

3. Custom Slash Commands as Thinking Tools

Vin demonstrates a suite of custom commands he built: /context loads his full life and work state; /today pulls calendar, tasks, and daily notes into a prioritized plan; /trace tracks how an idea has evolved over time; /connect bridges two domains using the vault's link graph; /ghost answers a question the way Vin would; /challenge pressure-tests his current beliefs. These turn Claude Code from a generic assistant into a deeply personalized thinking partner.

4. Markdown Files as the Foundation of the AI Era

I make the case that if you are serious about using LLMs to their full potential, a centralized markdown-based note-taking system is table stakes. Writing and reflection are the raw material; files are perfect memory where human recall is flawed; and the 99.99% of people who skip this step are leaving massive value on the table.

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We're going to build a variational autoencoder capable of generating novel images after being trained on a collection of images. We'll be using handwritten digit images as training data. Then we'll both generate new digits and plot out the learned embeddings. And I introduce Bayesian theory for the first time in this series :)

Code for this video:
https://github.com/llSourcell/....how_to_generate_imag

Mike's Winning Code:
https://github.com/xkortex/how...._to_win_slot_machine

SG's Runner up Code:
https://github.com/esha-sg/Int....ro-DeepLearning-Sira

Please subscribe! And like. And comment. That's what keeps me going.

2 things
-The embedding visualization at the end would be more spread out if i trained it for more epochs (50 is recommended) but i just used 5.
-The code in the video doesn't fully implement the reparameterization trick (to save space) but check the GitHub repo for details on that.

More Learning resources:
https://jaan.io/what-is-variat....ional-autoencoder-va
http://kvfrans.com/variational....-autoencoders-explai
http://blog.fastforwardlabs.co....m/2016/08/12/introdu
http://blog.fastforwardlabs.co....m/2016/08/22/under-t
http://blog.evjang.com/2016/11..../tutorial-categorica
https://jmetzen.github.io/2015-11-27/vae.html

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🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

This beginner-friendly AI course is designed to help you understand Artificial Intelligence from the ground up. You will learn the basics of AI, Machine Learning, and Deep Learning in simple and practical terms. The course covers key concepts, real-world examples, popular AI tools, and hands-on demonstrations to help you build a strong foundation.

By the end of this course, you will clearly understand how AI works, where it is used, and how to start your journey in the field of Artificial Intelligence with confidence.

📝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
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🔴 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
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 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

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

🔥Edureka DevOps Training: https://www.edureka.co/devops-....certification-traini
This Edureka "Jenkins Tutorial for Beginners" will help you understand what is Continuous Integration and why it was introduced. This Jenkins tutorial also explains how Jenkins achieves Continuous Integration in detail and includes a Hands-On session around Jenkins. By the end of this Jenkins tutorial you will learn how to pull code and compile a code that is present in GitHub, Review that code and run the test cases present and finally combine this code into an article file in a jar format. Following are the topics covered in this Jenkins tutorial for beginners:
00:00:00 Introduction
00:00:55 Why Continuous Integration?
00:04:08 What is Continuous Integration?
00:07:36 What is Jenkins?
00:16:04 Jenkins Installation, Setup and Demo
00:33:46 Summary

🔹Check our complete DevOps playlist here: http://goo.gl/O2vo13
🔹Check our Jenkins Tutorial Blog series here: https://bit.ly/3gfNuZr

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#Edureka #EdurekaJenkins #EdurekaDevOps #Jenkins #JenkinsTutorial #JenkinsPipeline #LearnJenkins #DevOpsTraining #DevOpsTutorial
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How it Works?
1. This is a 4 Week Instructor led Online Course.
2. Course consists of 24 hours of online classes, 25 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT
8. Fine tune Performance and set-up basic Security for Infrastructure
9. Manage server operations using Code which is popularly known as Infrastructure as a Code
10. Understand the need for and concepts of Monitoring and Logging.

Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools:

1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. 2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server.

3: Puppet - Covers Puppet Infrastructure & run-cycle, the Puppet Language, Environment defining Nodes and Modules, Provisioning a Web Server and Executing Modules Against A Puppet Master.

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

Who should go for this course?
DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are:

1. DevOps Architect
2. Automation Engineer
3. Software Tester
4. Security Engineer
5. Integration Specialist
6. Release Manager

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


For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).

🔥 Intellipaat DevOps Course: https://intellipaat.com/advanc....ed-certification-dev

In this DevOps Course video, you will learn What is DevOps, How DevOps Works, the Importance of DevOps, Why do we need DevOps, What is GIT, GIT is Architecture, DevOps Tools like Puppet, Nagios, Jenkins, Terraform, Ansible, and a lot more. In this DevOps Full Course video, you will also get an overview of How to Start Your Career in DevOps. We also have a special segment where we are also discussing DevOps Interview Questions and Answers which will help you ace your interviews.

👇👇The following are covered in this video:
00:00:00 - Introduction to DevOps Course
00:01:21 - Why DevOps?
00:11:21 - How DevOps works?
00:23:12 - DevOps Tools
00:30:14 - Introduction to GIT
00:32:15 - Common GIT commands
01:20:20 - Problems before Docker
01:27:18 - What is Docker?
01:33:12 - Docker vs Virtual Machine
01:40:27 - Docker Container Lifecycle
01:43:21 - Common Docker Operations
01:57:45 - Creating a Docker Hub Account
02:19:26 - What is DockerFile?
02:55:57 - What is a Monolithic Application?
03:01:17 - What are Microservices?
03:06:59 - What is Docker Compose?
03:29:26 - What is a Service?
03:36:52 - What is Kubernetes?
04:09:55 - YAML Files
04:42:28 - What is Puppet?
05:32:46 - What is Ansible?
09:15:59 - Introduction to the world of SDLC
09:24:40 - DevOps vs Agile
09:42:11 - How to Become a DevOps Engineer & Interview Questions
10:04:45 - Virtualization and Containerization

👉In this DevOps Course video, you will learn everything about DevOps from basic to advance level. This video includes an introduction to DevOps, DevOps tools, DevOps git, DevOps docker, Kubernetes tutorial, DevOps project, Ansible tutorial for beginners & DevOps Jenkins with the complete hands-on explanation. This is a must-watch session for everyone who wishes to learn DevOps and make a career in the cloud domain.
#DevOpsCourse #DevOpsTraining #DevOpsTools #DevopsFullCourse #LearnDevOps #DevOpsForBeginners #Intellipaat

📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

📕Read the complete DevOps tutorial here: https://intellipaat.com/blog/t....utorial/devops-tutor

📔Interested to learn DevOps Course still more? Please check similar what is DevOps blog here: https://intellipaat.com/blog/what-is-devops/

❓Are you looking for something more? Enroll in our DevOps certification course and become a certified DevOps professional (https://intellipaat.com/devops....-certification-train It is a 32 hrs instructor-led DevOps training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this DevOps Full course video, Like us and Subscribe to our channel for a more similar informative video.
Got any questions about DevOps Tools? Ask in the comment section below.
----------------------------
Intellipaat Edge
1. 24*7 Lifetime Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Courseware
6. Lifetime free Course Upgrade
----------------------------

For more information:
Call Our Course Advisors IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free)

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** Artificial Intelligence and Deep Learning: https://www.edureka.co/ai-deep....-learning-with-tenso **
This Edureka video on 'A Star Algorithm' teaches you all about the A star Algorithm, the uses, advantages and disadvantages and much more. It also shows you how the algorithm can be implemented practically and has a comparison between the Dijkstra and itself.

Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates 👉 https://bit.ly/2PYu1jD

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#Edureka #ArtificialIntelligenceEdureka #AStarAlgorithm #artificialintelligence #artificialintelligencetutorial #artificialintelligencecourse
-------------------------------------------------------------------------------
About the Course

Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks, and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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

Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

Why Learn Deep Learning With TensorFlow?

TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

For more information, please write back to us at sales@edureka.in or call us at:
IND: 9606058406 / US: 18338555775 (toll free)

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/microse....rvices-architecture- (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka's video on Microservices Tools talks about the top tools used in Microservices. Below are the topics covered in this video:
00:00:00 Introduction
00:01:16 What are Microservices?
00:02:31 Microservices Tools:
00:03:29 Operating System
00:04:36 Programming Language
00:07:18 Tools for API Management and Testing
00:09:56 Tools for Messaging
00:11:46 Toolkits
00:13:37 Architectural Frameworks
00:15:32 Tools for Orchestration
00:18:07 Tools for Monitoring
00:19:28 Server less Tools

🔴 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
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🔵 PMP Online Training: http://bit.ly/3XugO44
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🔵 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
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🔵 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
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate 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

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌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/



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This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟑" video will introduce you to all the popular and trending IT certifications in the market which you should focus on in 2023 to get high paying job. These are the highest paying certifications that you must bag in order to have a successful career in the year 2023. Let us know your list Best IT Certifications For 2023 in the comment section below.

00:00:00 Introduction
00:02:44 Full Stack Web Development Certification
00:03:38 Cyber Security & Ethical Hacking Certification
00:04:46 Project Management Certification
00:05:40 Data Science Certification
00:06:36 Digital Marketing Certification
00:08:36 Agile and Scrum Certification
00:09:45 Business Intellligence Certification
00:10:54 Automation & Testing Certification

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