Best Courses for Analytics:
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+ IBM Data Science (Python): https://bit.ly/3Rn00ZA
+ Google Analytics (R): https://bit.ly/3cPikLQ
+ SQL Basics: https://bit.ly/3Bd9nFu


Best Courses for Programming:
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+ Data Science in R: https://bit.ly/3RhvfFp
+ Python for Everybody: https://bit.ly/3ARQ1Ei
+ Data Structures & Algorithms: https://bit.ly/3CYR6wR


Best Courses for Machine Learning:
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+ Math Prerequisites: https://bit.ly/3ASUtTi
+ Machine Learning: https://bit.ly/3d1QATT
+ Deep Learning: https://bit.ly/3KPfint
+ ML Ops: https://bit.ly/3AWRrxE


Best Courses for Statistics:
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+ Introduction to Statistics: https://bit.ly/3QkEgvM
+ Statistics with Python: https://bit.ly/3BfwejF
+ Statistics with R: https://bit.ly/3QkicBJ


Best Courses for Big Data:
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+ Google Cloud Data Engineering: https://bit.ly/3RjHJw6
+ AWS Data Science: https://bit.ly/3TKnoBS
+ Big Data Specialization: https://bit.ly/3ANqSut


More Courses:
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+ Tableau: https://bit.ly/3q966AN
+ Excel: https://bit.ly/3RBxind

+ Computer Vision: https://bit.ly/3esxVS5
+ Natural Language Processing: https://bit.ly/3edXAgW

+ IBM Dev Ops: https://bit.ly/3RlVKt2
+ IBM Full Stack Cloud: https://bit.ly/3x0pOm6
+ Object Oriented Programming (Java): https://bit.ly/3Bfjn0K

+ TensorFlow Advanced Techniques: https://bit.ly/3BePQV2
+ TensorFlow Data and Deployment: https://bit.ly/3BbC5Xb
+ Generative Adversarial Networks / GANs (PyTorch): https://bit.ly/3RHQiRj


Become a Member of the Channel! https://bit.ly/3oOMrVH
Follow me on LinkedIn! https://www.linkedin.com/in/greghogg/


Full Disclosure:
Please note that I may earn a commission for purchases made at the above sites! I strongly believe in the material provided; I only recommend what I truly think is great. If you do choose to make purchases through these links; thank you for supporting the channel, it helps me make more free content like this!

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFirstFold&utm_source=Youtube
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🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFirstFold&utm_source=Youtube
In this video, we're going to dive into the details of three popular ways to store data: databases, data lakes, and data warehouses. These terms are often thrown around in the tech world, especially during job interviews, so it's important to know what each one means and how they differ. We'll start off by explaining what each of these data storage options is and highlight their main features. Next, we'll look at the advantages and disadvantages of using each type of storage solution, helping you understand when and why you might choose one over the others. We will also compare how each system handles data. This includes discussing how they manage various forms of data, from well-organized structured data to more flexible semi-structured data and even unstructured data, which can be more complex to organize. After that, we'll go over some typical uses for databases, data lakes, and data warehouses, sharing examples to show how each is applied in real-life situations. By the end of this video, you'll have a solid grasp of the key differences between a database, a data lake, and a data warehouse. This knowledge will not only boost your understanding but also prepare you to discuss these topics confidently in job interviews.

00:00:00 - Introduction to Data Storage
00:01:58 - What is a Database?
00:03:37 - What is a Data Warehouse?
00:05:29 - What is a Data Lake?
00:07:14 - A Quick Recap
00:09:32 - Factors to Consider to Choose the Right Platform

You can also go through the slides here: https://www.slideshare.net/sli....deshow/database-vs-d

✅ Is BigQuery a data lake or data warehouse?

BigQuery is a data warehouse. It is a fully managed, serverless, highly scalable, and cost-effective multi-cloud data warehouse offered by Google Cloud. BigQuery is designed for analyzing large datasets quickly and efficiently using SQL queries.

✅ Is data lake SQL or NoSQL?

A data lake itself is neither SQL nor NoSQL; rather, it is a storage repository designed to hold large amounts of raw data in its native format, including structured, semi-structured, and unstructured data. The type of data stored in a data lake can vary, and both SQL and NoSQL databases can be part of a data lake ecosystem.

✅ Does data lake use ETL?

Yes, data lakes use ETL (Extract, Transform, Load) processes, but they can also use ELT (Extract, Load, Transform) processes.

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

#Database #DataLake #DataWarehouse #CloudComputing #2024 #simplilearn

➡️ About AWS Cloud Practitioner Course
AWS Cloud Practitioner course is for individuals seeking an overall understanding of Amazon Web Services Cloud, independent of specific technical roles. To build AWS Cloud knowledge, you will learn about AWS Cloud concepts, services, security, architecture and support. This course also helps prepare for the AWS Certified Cloud Practitioner exam.providers: Microsoft Azure, AWS, and GCP.

✅ Key Features
- Official AWS live class training content
- Self-paced learning videos authored by AWS
- Live online training from AWS Authorized Instructors
- 1-day Instructor-Led Training Course for accelerated learning

✅ Skills Covered
- AWS Cloud Adoption Framework
- AWS Global Infrastructure
- AWS data migration solutions
- Storage and databases
- AWS IAM security levels
- AWS Compute Services
- Amazon Cloud
- Front and Edge locations
- Networking concepts
- Payasyougo pricing model
- AWS pricing models and support

Learn More:- 🔥AWS Cloud Practitioner Essentials: https://www.simplilearn.com/aws-cloud-practitioner-essentials?utm_campaign=25June2024DbvsDWvsDL&utm_medium=Description&utm_source=youtube

Never get stuck without AI again. Run three Small Language Models (SLMs)—also called Local LLMs—TinyLlama, Gemma-3 and Phi-4-mini—completely offline; all fit in 4 GB or less and work on any laptop and older hardware.

────────────────────
🔧 Hardware & Software used
• Laptop Ryzen 5 4500U, 8GB RAM, Ollama (no GPU needed!)
• Phone iPhone 13 Pro with Mobile PocketPal AI (local GGUF)

────────────────────
🔗 Model resources
• ChatGPT global outage (news)
https://timesofindia.indiatime....s.com/etimes/trendin
• Phi-4-mini reasoning paper
https://www.microsoft.com/en-u....s/research/wp-conten
• TinyLlama 1.1 https://huggingface.co/TinyLlama/TinyLlama_v1.1
└ GGUF Q4_0 637 MB https://huggingface.co/TheBlok....e/TinyLlama-1.1B-Cha
• Gemma-3 https://huggingface.co/blog/gemma3
└ GGUF Q4_K_M 0.8 GB https://huggingface.co/Maziyar....Panahi/gemma-3-1b-it
• Phi-4-mini https://huggingface.co/microso....ft/Phi-4-mini-reason
└ GGUF Q4_K_M 2.5 GB https://huggingface.co/lmstudi....o-community/Phi-4-mi

────────────────────
🎬 More on local AI
• End of VRAM? https://youtu.be/M9ZphDPRP_w
• Is local AI image generation dying? https://youtu.be/ad7jBaNgIW8

🛠 Support the channel
Patreon https://www.patreon.com/NextTechAndAi

────────────────────
▼ Comment Poll
What would YOU use offline AI for?

#SmallLanguageModels #LocalLLM #OfflineLLM #LocalAI

What exactly is Agentic AI? In this video, we will go through an extremely simple explanation of Agentic AI. We will compare Agentic AI systems with Workflows that use LLMs but are not agentic in nature.

00:00 Introduction
00:13 RAG Based AI System
01:06 Tool Augmented AI System
02:08 Agentic AI System
08:02 Agentic AI Apps with Code
09:31 Low Code Agentic AI
11:16 AI Agent vs Agentic AI
11:42 Gen AI vs Agentic AI

Anthropic agent guide: https://www.anthropic.com/engi....neering/building-eff
RAG and tool ammended AI system project 1: https://youtu.be/CO4E_9V6li0?si=4BhXW9c6HnPC2uww
RAG and tool ammended AI system project 2: https://youtu.be/jLM6n4mdRuA?si=oKer2d5eyixiTgF5
Agno reasoning agent: https://docs.agno.com/reasonin....g/reasoning-agents#r

👉 Check out PyCharm, the IDE built for data science and AI/ML professionals: https://jb.gg/try-pycharm-now
👉 Free 3-Month PyCharm Pro subscription with coupon code “PyCharm2codebasics”: https://jb.gg/pc_codebasics
Redeem on new purchases before Feb 01, 2026

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

------

📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
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📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

What is the difference between generative ai and ai agents and agentic AI system? Let's understand it in a very simple, intuitive language.

Langgraph tutorial: https://youtu.be/CnXdddeZ4tQ?si=rkrOziDj4y_dQo4-
AI bootcamp with HR assistant agentic system: https://codebasics.io/bootcamp....s/ai-data-science-bo

👉 Check out PyCharm, the IDE built for data science and AI/ML professionals: https://jb.gg/try-pycharm-now
👉 Free 3-Month PyCharm Pro subscription with coupon code “PyCharm2codebasics”: https://jb.gg/pc_codebasics
Redeem on new purchases before Feb 01, 2026

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

------

📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/

📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Covers transfer learning, convolutional neural network (CNN) models, pooling layers, and application examples, including a handbags-shoes classifier.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

This video introduces the syllabus and organization of the "Introduction to Deep Learning and Generative Modeling" course.

Link to the slides: https://sebastianraschka.com/p....df/lecture-notes/sta

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This video is part of my Introduction of Deep Learning course.

Next video: https://youtu.be/6VbtJ9nn5ng

The complete playlist: https://www.youtube.com/playli....st?list=PLTKMiZHVd_2

A handy overview page with links to the materials: https://sebastianraschka.com/b....log/2021/dl-course.h

-------

If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka

This video introduces the fundamentals of protein design and summarizes the trajectory of the course with a focus on (1) the foundational biochemistry that protein structure prediction and design hinge on and (2) deep learning / machine learning principles overview.

Video from the Rosetta Commons PPI Workshop (February 2025)
Video Instructor: Amrita Nallathambi (UNC Chapel Hill)

Credits:
Instructor: Amrita Nallathambi
Teaching Assistants: Yehlin Cho, Cyrus Haas, and Matthew Hvasta,
RC Leadership and NSF Sponsor Grant PIs: Julia Koehler Leman & Jeffrey Gray
RC Education Director: Ashley Vater
Videographer: Canyon Florey
Rosetta Workshop Participants

00:00 - Introduction
00:20 - Deep Learning Revolution for Proteins
01:50 - The Transformer
03:38 - AlphaFold2 Overview
06:22 - AlphaFold2 Inputs
09:48 - AlphaFold2 Outputs
13:29 - Graph Neural Networks
16:24 - ProteinMPNN Loss
17:35 - Diffusion models
18:30 - RFDiffusion
19:52 - Inputs and Outputs
20:43 - Potentials

CIFAR DLRL 2020 Summer School

Sebastian's books: https://sebastianraschka.com/books/
The lecture slides are available at: https://github.com/rasbt/stat4....53-deep-learning-ss2

Introduces the main ideas behind Convolutional Neural Networks (CNNs). The topics are:

Challenges of Image Classification
Convolutional Neural Network Basics
CNN Architectures
What a CNN Can See
CNNs in PyTorch

🔥Advanced DevOps Certification Training with GenAI: https://www.edureka.co/devops-....certification-traini
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Join us live as we explore the power of Azure DevOps, Microsoft’s end-to-end platform for modern software development and delivery. In this session, we’ll walk through the key features including Repos, Boards, Pipelines, and Artifacts, and show you how to set up a complete CI/CD workflow. Whether you’re new to DevOps or looking to streamline your deployment process, this live stream will provide practical guidance, real-time demos, and actionable insights to help you work smarter and deliver faster. Don’t miss this opportunity to level up your DevOps skills and get your questions answered live!

00:00:00 INTRODUCTION
00:01:35 What is Azure?
00:12:31 Azure Certifications
00:22:40 How To Create Azure Free Account?
00:28:17 Introduction to Azure Portal
00:42:15 DevOps Introduction (Scribe Video)
00:44:16 DevOps Stages
01:34:20 What is Git?
02:28:41 GitHub Basics
02:58:15 What is Jenkins?
03:59:45 What is Docker?
04:39:15 Azure Virtual Machine
05:00:56 Azure Active Directory
05:27:37 ARM Templates
05:55:51 What is Azure DevOps?
06:19:37 Azure Boards
06:34:17 Azure DevOps Pipeline
06:46:53 Azure DevOps Test Plans
07:12:25 Azure DevOps Artifacts
07:36:21 Introduction To Azure Kubernetes Service (AKS)
08:26:00 Microsoft Azure DevOps Solutions: AZ-400
08:32:57 AWS DevOps vs Azure DevOps
08:36:44 Azure DevOps Interview Questions and Answers
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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🔵 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

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🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG

📌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/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

Learn more: https://stanford.io/4iHlGQp

Build modern AI agents with Stanford's graduate-level curriculum, adapted for working professionals.

Taught by Stanford Adjunct Professor Chowdhery and Assistant Professor Mirhoseini, this Agentic AI program takes you beyond basic LLM prompting to agents that reason, plan, use tools, and improve themselves through interaction with their environment.

What you'll learn:
- Design agentic systems for complex, multi-step real-world tasks
- Apply test-time scaling to boost LLM performance
- Use self-improvement methods: verifiers, feedback loops, RL, and search
- Build agents that use tools and take actions effectively
- Add retrieval and long-term memory to LLMs
- Develop planning and multi-step reasoning
- Evaluate agent performance with robust frameworks

Drawing on Stanford research and the latest advances in the field.

About the Instructors
Stanford Engineering Adjunct Professor Dr. Aakanksha Chowdhery led end-to-end training of the 540B PaLM model (the largest densely trained language model in the world at the time) and drove pre-training and scaling of Gemini's mixture-of-experts models. Stanford Assistant Professor Azalia Mirhoseini co-developed the MoE architectures now used in nearly every frontier model, created AlphaChip (the RL method behind Google's TPU designs), and pioneered LLM test-time scaling; she worked on both Claude and Gemini.

Welcome to chai aur code, a coding/programming dedicated channel in Hindi language. Now you can learn best of programming concepts with industry standard practical guide in Hindi language.

All source code is available at my Github account:
https://github.com/hiteshchoudhary

Our Open-Source Project is here: https://freeapi.app

Join me at whatsapp: https://hitesh.ai/whatsapp

for community discord: https://hitesh.ai/discord

Instagram pe yaha paaye jaate h:
https://www.instagram.com/hiteshchoudharyofficial/

HTML video series: https://www.youtube.com/watch?v=XmLOwJHFHf0&list=PLu71SKxNbfoDBNF5s-WH6aLbthSEIMhMI

Complete javascript series: https://www.youtube.com/watch?v=Hr5iLG7sUa0&list=PLu71SKxNbfoBuX3f4EOACle2y-tRC5Q37

Complete Reactjs series: https://www.youtube.com/watch?v=vz1RlUyrc3w&list=PLu71SKxNbfoDqgPchmvIsL4hTnJIrtige

Javascript and react interview series: https://www.youtube.com/watch?v=1wqCyz7XrV4&list=PLu71SKxNbfoCy_MsA98SBfvUKF5eQit6L

Backend development with Javascript: https://www.youtube.com/watch?v=EH3vGeqeIAo&list=PLu71SKxNbfoBGh_8p_NS-ZAh6v7HhYqHW

Python Series: https://www.youtube.com/watch?v=Ca5DLSDfPec&list=PLu71SKxNbfoBsMugTFALhdLlZ5VOqCg2s

🔵 In this live session on the SQL course, firstly we will introduce you to what is a database, DBMS and later on, we will teach you SQL from scratch to an advanced level along with hands-on demo and interview questions. This video is must watch for everyone who wishes to learn SQL and make a career in it.

00:00 - SQL Full Course
01:07 - Introduction to Database
07:56 - Introduction to DBMS
09:58 - Introduction to SQL
15:37 - Applications of SQL
18:40 - Basics: SQL Tables
20:40 - SQL Tables: Datatypes
23:07 - Installation of SQL Server
27:36 - Create, use and Drop Database in SQL
29:52 - constraints in SQL
31:46 - Creating a table in SQL
35:03 - Insert Query Syntax in SQL
38:41 - Select Statement Syntax in SQL
41:51 - Select Distinct Syntax in SQL
46:06 - Operators in SQL
57:28 - Functions in SQL
01:06:59 - Clauses in SQL
01:17:03 - Statements in SQL
01:23:20 - Joins in SQL
01:43:53 - Union Operator in SQL
01:46:37 - Except Operator in SQL
01:48:20 - Intersect Operator in SQL
01:50:15 - Views in SQL
01:52:56 - How to Alter Table in SQL
01:55:42 - Merge statement in SQL
02:01:22 - Types of user-defined Functions
02:07:50 - Temporary table
02:10:40 - Case Statement in SQL
02:15:45 - IIF() Function in SQL
02:19:26 - Stored Procedure in SQL
02:24:39 - Exception Handling in SQL
02:34:02 - Data Base Administrator
02:35:44 - Types of DBA
02:37:35 - Intro to MS SQL Server
02:38:04 - Evolution of SQL Server
02:41:12 - Editions of SQL Server
02:43:26 - Installing MS SQL Server
02:43:47 - SQL Server System Databases
02:44:14 - Master Database
02:46:08 - Restoring "AdventureWorks" Database through GUI
02:48:14 - Recovery Models
02:51:14 - Planning a Backup Strategy
02:54:52 - Backup models in SSMS
02:55:48 - Point in Time Recovery
02:57:04 - Importing Data
03:02:38 - SQL Server OS Related DMV's
03:05:02 - Activity Monitor
03:05:32 - Starting Activity Monitor
03:07:59 - System Monitor/ Performance Monitor
03:10:56 - Working with SQL Server Profiler
03:12:36 - Ensuring Data Integrity
03:13:44 - Index in SQL
03:17:03 - Fragmentation
03:20:41 - CRUD Operations: SQL Queries
03:32:51 - What is SQL Injection with Hands-on?
03:55:34 - How to become an SQL Developer
04:04:32 - SQL Demo
04:22:14 - SQL vs MySQL
04:26:56 - Skills to become SQL Developer
04:29:22 - Career Path: SQL Developer
04:36:22 - SQL Interview Questions & Answers

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About the Webinar
Unlock the transformative power of artificial intelligence with our Applied Generative AI Specialization in partnership with Purdue University.

Join us on April 18th, 09:00 PM, for an exclusive insight into our Applied Generative AI Specialization. Discover the cutting-edge curriculum, hands-on projects, and unique features of this program designed to prepare you for success in developing and deploying AI-driven solutions.

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Topics Covered:

In this enlightening session, we will explore key components of our Applied AI Course, including:

✅ Foundational AI Concepts
✅ Developing AI Applications
✅ AI in Practice
✅ AI Governance
✅ Interactive Q&A Session

About Applied Generative AI Specialization

Master Generative AI with this cutting-edge program delivered collaboratively by Purdue University Online and Simplilearn. Explore concepts like prompt engineering, large language models, attention mechanisms, and LLM fine-tuning. Learn in-demand tools and shape the future of intelligent systems.

Key Features
✅ Program completion certificate from Purdue University Online and Simplilearn
✅ Access to Purdue’s alumni association membership on program completion
✅ 50+ hours of core curriculum delivered in live online classes by industry experts
✅ Build Generative AI-enabled applications through hands-on projects
✅ Live online masterclasses delivered by Purdue faculty and staff
✅ Gain exposure to ChatGPT, OpenAI, Hugging Face, DALL-E 2 and other prominent tools
✅ Explore concepts like prompt engineering, attention mechanism, transformers, LLM application development, and LLM fine-tuning
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Earn official trophy and badges for ‘Microsoft Azure AI Fundamentals: Generative AI’ on the Microsoft Learn portal

Applied Gen AI Course Advantage
Gain a competitive edge with hands-on learning in the transformative arena of Generative AI. Master prompt engineering, LLMs, attention mechanisms, fine-tuning techniques, and LLM application development.

Applied Gen AI Course Details

Explore our Applied Generative AI program to deploy advanced techniques in real-world scenarios. Master GANs, VAEs, and prompt engineering, alongside tools like ChatGPT, DALL-E 2, OpenAI and Hugging Face. Develop LLM applications, fine-tuning skills, and explore governance principles.

Learning Path
✅ AGS: Program Induction
✅ AGS: Python Basics (Optional)
✅ AGS: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ AGS: Advanced Generative AI - Models and Architecture
✅ AGS: Advanced Generative AI - Building LLM Applications
✅ AGS: Advanced Generative AI - Image Generation Capabilities
✅ AGS: Generative AI Governance
Electives:
✅ AGS: Microsoft Azure AI Fundamentals - Generative AI
✅ AGS: Academic Masterclass

Skills Covered
✅ Python Programming
✅ Explainable AI
✅ Prompt Engineering
✅ Variational Autoencoders VAEs
✅ Generative Adversarial Networks GANs
✅ Transformers
✅ LLM Architecture
✅ Attention Mechanism
✅ Langchain for Workflow Design
✅ GenAI Application Development
✅ LLM Fine Tuning
✅ LLM Benchmarking
✅ Stable Diffusion
✅ Generative AI Governance

Tools Covered

✅ Python
✅ ChatGPT
✅ OpenAI
✅ Hugging Face
✅ Bard
✅ Dall-E-2
✅ LangChain
✅ Gradio
✅ Chroma
✅ StreamLit

Industry Projects
✅ Project 1
Craft an AI Powered HR Assistant

✅ Project 2
Build a Creative Logo Designer

✅ Project 3
Conversational Chatbot for Document Interaction

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