Explore the capabilities and considerations for Small Language Models (SLMs). Whether you’re using out-of-the-box SLMs or customizing/fine-tuning them with your own data, we’ll cover practical considerations and best practices. Enhance your language processing capabilities with SLMs!

Chapters:
00:00 - Introduction
01:12 - SLM
02:47 - Advantages of SLMs
03:24 - Local Models
03:54 - Architecture
04:37 - Demo
07:12 - Getting started

✔️Resources:
https://aka.ms/azuresql-slm

📌 Let's connect:
Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna
Twitter - AzureSQL, https://aka.ms/azuresqltw

🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt

🔔 Subscribe to our channels for even more SQL tips:
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#AzureSQL #SQL #LearnSQL

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Learn more about Types of AI agents here → https://ibm.biz/BdnZTE

Can a drone deliver packages safely and efficiently? 🤖 Martin Keen breaks down the 5 types of AI agents—from reflex to learning models—and their role in robotics, decision-making, and automation. Learn how goal-driven and utility-based AI adapt to workflows and complex environments.

Intro - 0:00
Simple Reflex Agent - 0:50
Model-Based Reflex Agent - 2:49
Goal-Based AI Agent - 4:20
Utility Based AI Agent- 5:43
Learning AI Agent - 6:55
Use Cases - 8:22

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdnZTX

#aiagents #machinelearning #ai

What are agentic AI and agentic operating systems? And what are their potential benefits, drawbacks and longer-term implications?

For further information, the websites and articles included in this video are as follows:

PROTOCOLS:

MCP website: https://modelcontextprotocol.i....o/docs/getting-start

Google announces the A2A protocol: https://developers.googleblog.....com/en/a2a-a-new-era

IBM’s ACP integrated into A2A: https://lfaidata.foundation/co....mmunityblog/2025/08/

A2A Protocol website: https://a2a-protocol.org/latest/


ORCHESTRATION PLATFORMS:

Microsoft AutoGen: https://www.microsoft.com/en-u....s/research/project/a

IBM WatsonX Orchestrate: https://www.ibm.com/products/watsonx-orchestrate

AWS Bedroom AgentCore: https://aws.amazon.com/bedrock/agentcore/

Google Vertex AI Agent Builder: https://cloud.google.com/products/agent-builder

Google Gemini Enterprise https://cloud.google.com/gemini-enterprise

AgentForce: https://www.salesforce.com/uk/agentforce/

Forethought: https://forethought.ai/

Origon AI: https://origon.ai/


AGENTIC OPERATING SYSTEMS:

“Making every Windows PC an AI PC”: https://blogs.windows.com/wind....owsexperience/2025/1

“Experimental Agentic Features” in Windows: https://support.microsoft.com/....en-us/windows/experi

Microsoft Agent 365: https://www.microsoft.com/en-u....s/microsoft-agent-36

MIT Sloan Management Review and BCG article on the agentic enterprise (inc survey): https://sloanreview.mit.edu/pr....ojects/the-emerging-

Apple working on MCP support for agentic AI: https://9to5mac.com/2025/09/22..../macos-tahoe-26-1-be


More videos on computing and related topics can be found at:
http://www.youtube.com/@ExplainingComputers

And more videos on film and other making, plus retro tech, can be found on my Christopher Barnatt channel: http://www.youtube.com/@ChristopherBarnatt

Chapters:
00:00 Titles & Intro
00:48 Agentic AI Basics
07:14 The Good
09:53 The Bad
11:48 The Ugly
13:22 The Future

#AgenticAI #agentic #Aiagent #agent #MCP #A2A #orchestration #ExplainingComputers

🔥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.📝

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The complete Claude AI tutorial for 2026 — covering every major feature from the free basics to the agentic tools most people never reach. If you want to know how to use Claude AI properly, this is the full picture.
Most tutorials stop at the chat window. This one covers all three tiers: free features, Pro capabilities, and the agentic tools that let Claude work through files, write code, and take action on your behalf.

In this video you'll learn:
✅ The three Claude models and when to use each one
✅ How to set up Memory, Projects, Artifacts, and Custom Style
✅ How Connectors, Extended Thinking, and Research mode work
✅ What Claude Cowork, Claude Code, and Computer Use actually do
✅ Which plan you need and when it's worth upgrading

0:00 Intro
0:54 What Is Claude?
2:10 Level 1: Beginner Features - Claude Chat and Web Search
2:58 Artifacts Explained
3:34 Memory
4:50 Claude Projects
6:05 Custom Style
6:46 Level 2: Extended Capabilities Features
6:57 Connectors
7:47 Claude Skills
8:57 Extended Thinking
9:40 Research Mode
10:23 Level 3: Agentic Tools
10:37 Claude Cowork
11:19 Claude Code
12:23 Computer Use
12:50 Pricing Breakdown

VIDEOS MENTIONED:
📺 Claude Cowork full tutorial: https://youtu.be/CYfZBpvwrRA
📺 Claude Pricing breakdown: https://youtu.be/Sdewx3GpJ1Q
📺 Claude Skills explained: https://youtu.be/LmLu_-yc01w

🔔 Subscribe for weekly AI productivity tips: https://www.youtube.com/@AIPro....ductivityCoach?sub_c
📩 Free newsletter — practical AI tools and workflows every week:
https://aiproductivitycoach.com/subscribe/
💼 Work with me: https://aiproductivitycoach.co....m/productivity-coach

#ClaudeAI #AIProductivity #ClaudeTutorial

Most people think they understand AI, but they only understand the part where you type something into ChatGPT and it types something back. The gap between that and building an actual agent that can go do work for you is enormous.

In this video, I break down the entire AI stack in 30 minutes. We start with how large language models actually work, then climb through transformers, context engineering, RAG, reasoning models, and finally the most important distinction in AI right now: the difference between a model and an agent. A model thinks. An agent thinks and acts.

By the end, you'll understand how these systems work better than 95% of people posting about AI on the internet.

Chapters:

00:00 – The Gap Nobody Tells You About
01:51 – How LLMs Actually Work
05:04 – The Transformer Architecture
08:42 – BERT vs GPT History
09:41 – Modalities and Multimodal Models
12:03 – Prompt to Context Engineering
16:45 – RAG Explained
20:21 – Reasoning Models
21:22 – Model vs Agent
22:27 – The ReAct Pattern
23:10 – Agentic Design Patterns
24:13 – AI Evaluations
26:43 – The Gen Academy
29:43 – Closing

You’re right—that last version had titles only. Here’s a fully linkified, copy‑paste‑ready description block.


Resources mentioned in the video (and more to explore):

👉 Join Mastering Agentic AI Certification by The Gen Academy (Aug & Oct Cohort)
https://maven.com/aishwarya-sr....inivasan/mastering-a
Use code: SAVE20 for 20% discount

👉 My videos to watch next

→ Vector Databases Explained – deep dive on embeddings & storage
https://youtu.be/4pUYfY-b5CQ?si=Y3VdR5CmKTBlQwew

→ RAG Explained
https://youtu.be/v0ynfDPpe4E?si=qxCk6LHLHEcW0cCH

👉 Mastering Claude Cowork (~2 hour lightning lesson - 12,000+ people have attended)
https://maven.com/p/6f5db3/mas....tering-claude-cowork

👉 Agentic AI Foundations

→ Anthropic: Building Effective Agents
https://www.anthropic.com/rese....arch/building-effect

→ OpenAI: A Practical Guide to Building Agents
https://openai.com/business/gu....ides-and-resources/a

→ OpenAI Agents SDK
https://developers.openai.com/....api/docs/guides/agen

→ OpenAI Agents SDK Python Docs
https://openai.github.io/opena....i-agents-python/agen

👉 Agent Design Patterns

→ ReAct: Synergizing Reasoning and Acting in Language Models
https://arxiv.org/abs/2210.03629

→ Google Research Blog on ReAct
https://research.google/blog/r....eact-synergizing-rea

→ Reflexion: Language Agents with Verbal Reinforcement Learning
https://arxiv.org/abs/2303.11366

👉 MCP and Agent Interoperability

→ Anthropic: Introducing the Model Context Protocol
https://www.anthropic.com/news..../model-context-proto

→ Model Context Protocol GitHub
https://github.com/modelcontextprotocol

→ Google: Agent2Agent Protocol
https://developers.googleblog.....com/en/a2a-a-new-era

→ A2A Protocol GitHub
https://github.com/a2aproject/A2A

👉 Context Engineering for Agents

→ Anthropic: Effective Context Engineering for AI Agents
https://www.anthropic.com/engi....neering/effective-co

→ Anthropic: Code Execution with MCP
https://www.anthropic.com/engi....neering/code-executi

→ Anthropic: Writing Effective Tools for Agents
https://www.anthropic.com/engi....neering/writing-tool

👉 My Related Resources

→ Designing Agentic AI Systems
https://aishwaryasrinivasan.su....bstack.com/p/designi

→ All you need to know about AI agent frameworks
https://substack.com/@aishwary....asrinivasan/note/p-2

Get started with Snyk's MCP today: https://snyk.plug.dev/ZlOH7qR
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This SQL Course covers all the important skill sets required to become an SQL Engineer!

In this SQL Course, we will cover Introduction to SQL, the Difference Between SQL and NoSQL, RDBMS vs DBMS, ER Diagram, What is Database, and Data Types. Then we will get into Memory Allocation, SQL Commands, basic commands of SQL, Operators in SQL, Sorting in SQL, and Subquery in SQL. Later, we will also dive into Functions in SQL, Conditional Statements, Constraints in SQL Server, Indexing in SQL, Keys Concept, Merge Statement, SQL Joins, Union and Intersect, and Pivot and Unpivot. Then we will conclude this SQL Tutorial For Beginners with Interview Questions.

🔵 Following topics are covered in this SQL Course
00:00:00 - Introduction to SQL Course
00:02:40 - Introduction to SQL
00:29:02 - Difference Between SQL and NoSQL
00:41:07 - RDBMS vs DBMS
00:45:41 - ER Diagram
01:31:44 - What is a Database
01:36:51 - Data Types
02:05:13 - Memory Allocation
02:36:25 - SQL Commands
03:41:41 - Operators in SQL
04:09:05 - Sorting in SQL
04:22:09 - Functions in SQL
04:40:39 - Constraints in SQL Server
05:01:20 - Indexing in SQL
05:27:43 - Keys Concept
05:59:40 - SQL Joins
07:05:10 - Union and Intersect
07:30:58 - Pivot and Unpivot
08:20:47 - SQL Interview Questions

✅How long will it take to learn SQL?
On its own, SQL isn't hard to learn. You can learn SQL in as little as two to three weeks. However, it can take months of practice before you feel comfortable using it. Determining how long it takes to learn SQL depends on how you plan to use it.

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This video: "UI/IX Design Full Course" will help you understand the core of UI UX Design. Understand the concepts of UI/UX Design, why design thinking is crucial & get to know about its stages. In the end, be ready to learn the Software Principles of Interaction
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There are many chances for UI/UX designers to diversify, focus, and collaborate across disciplines. Every day, new UI/UX design boundaries are being discovered that function in a range of media kinds, applications, and environments. Whether you're a novice or an expert in the field, working on user interface design will never get boring.

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This Video on Data Analytics Full Course by Simplilearn will help you learn everything you need to know about data analysis. this data analytics full course covers the basics through What is Data Analytics and the Data Analyst Roadmap to advanced topics such as Data Analytics using AI and Data Analysis with Python. You'll learn key skills like Data Manipulation in R, Data Transformation, and SQL Introduction, including Normalization in SQL and SQL CTE. Understand the differences between Data Science vs Data Analyst and gain hands-on experience creating Power BI Dashboards in minutes. Additionally, explore DBMS, Top BI Terms every data analyst should know, and prepare for interviews with common Data Analytics Interview Questions. Finally, leverage ChatGPT and Excel with Data Analytics to enhance your learning.

00:00:00 Introduction to Data Analytics Full Course
00:04:02 What is Big Data
00:05:26 What is Data Analytics
00:07:30 Data Science Vs Data Analyst
00:21:34 Steps Involved in Data Analytics
00:29:52 Data Analyst Roadmap
00:31:00 What is DBMS
00:42:32 Top BI Terms every data analyst know
01:02:24 Create PowerBI Dashboard in minutes
01:47:39 Who is a Data Analyst till R or Python
03:26:56 Data Analysis with Python
03:30:20 Descriptive Analysis Vs Stat
03:47:52 What is ETL
04:02:56 Descriptive statistics using excel
04:19:17 Data Transformation
07:44:15 Data Manipulation In R
07:59:52 Chatgpt and Excel with Data Analytics
08:03:09 SQL Basics
08:33:44 Tableau Calculations and filters
09:18:37 SQL Server tutorial
09:18:47 Data Analytics using AI
09:53:08 Top 10 Data Analytics certifications

✅ What is Data Analytics?

Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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➡️ 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
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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

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3. Cat Stevens - Another Saturday Night
4. John Denver - Back Home Again
5. Paul McCartney & Wings - Band on the Run
6. First Class - Beach Baby
7. Elton John - Bennie and the Jets
8. Bo Donaldson & The Heywoods / Paper Lace - Billy Don't Be a Hero
9. Elton John - Candle in the Wind
10. Barry White - Can't Get Enough of Your Love
11. Gordon Lightfoot - Carefree Highway
12. Harry Chapin - Cat's in the Cradle
13. Redbone - Come and Get Your Love
14. Cher - Dark Lady
15. Suzi Quatro - Devil Gate Drive
16. Elton John - Don't Let the Sun Go Down on Me
17. Carl Carlton - Everlasting Love
18. Ken Boothe - Everything I Own
19. Slade - Far Far Away
20. Johnny Bristol - Hang On In There Baby
21. Paul Anka with Odia Coates - (You're) Having My Baby
22. Showaddywaddy - Hey Rock and Roll
23. ABBA / Sweet Dreams - Honey Honey
24. Blue Swede - Hooked on a Feeling
25. Billy Swan - I Can Help
26. Olivia Newton-John - I Honestly Love You
27. Eric Clapton - I Shot the Sheriff
28. Carpenters - I Won't Last a Day Without You
29. Terry Jacks - If You Go Away
30. Olivia Newton-John - If You Love Me (Let Me Know)
31. Jim Croce - I'll Have to Say I Love You in a Song
32. Albert Hammond - I'm a Train
33. Alvin Stardust - Jealous Mind
34. Paul McCartney & Wings - Jet
35. Dolly Parton - Jolene
36. The Rubettes - Jukebox Jive
37. Kool and the Gang - Jungle Boogie
38. Paul McCartney & Wings - Junior's Farm
39. Queen - Killer Queen
40. The Drifters - Kissin' in the Back Row
41. Carl Douglas - Kung Fu Fighting
42. Neil Sedaka - Laughter in the Rain
43. Bachman–Turner Overdrive - Let It Ride
44. Mud - Lonely This Christmas
45. Neil Diamond - Long Fellow Serenade
46. The Osmonds - Love Me for a Reason
47. The Love Unlimited Orchestra - Love's Theme
48. Elton John - Lucy in the Sky with Diamonds
49. Electric Light Orchestra - Ma-Ma-Ma-Belle
50. Maria Muldaur - Midnight at the Oasis
51. Bee Gees - Mr. Natural
52. Gloria Gaynor - Never Can Say Goodbye
53. Billy Preston - Nothing from Nothing
54. Cat Stevens - Oh Very Young
55. Billy Joel - Piano Man
56. Golden Earring - Radar Love
57. David Bowie - Rebel Rebel
58. Steely Dan - Rikki Don't Lose That Number
59. The Righteous Brothers - Rock and Roll Heaven
60. Andy Kim - Rock Me Gently
61. The Hues Corporation - Rock the Boat
62. George McCrae - Rock Your Baby
63. Sweet Sensation - Sad Sweet Dreamer
64. Terry Jacks - Seasons in the Sun
65. Queen - Seven Seas of Rhye
66. Bay City Rollers - Shang-a-Lang
67. Charles Aznavour - She
68. Al Wilson - Show and Tell
69. Blue Magic - Sideshow
70. Ralph McTell - Streets of London
71. The Rubettes - Sugar Baby Love
72. Bay City Rollers - Summerlove Sensation
73. Gordon Lightfoot - Sundown
74. John Denver - Sunshine on My Shoulders
75. Lynyrd Skynyrd - Sweet Home Alabama
76. The Sweet - Teenage Rampage
77. The Hollies - The Air That I Breathe
78. Slade - The Bangin' Man
79. Elton John - The Bitch Is Back
80. Mud - The Cat Crept In
81. Billy Joel - The Entertainer
82. Steve Miller Band - The Joker
83. Grand Funk - The Loco-Motion
84. Paper Lace - The Night Chicago Died
85. Leo Sayer / Three Dog Night - The Show Must Go On
86. The Sweet - The Sixteens
87. Dionne Warwick & The Spinners - Then Came You
88. Sparks - This Town Ain't Big Enough for Both of Us
89. Mud - Tiger Feet
90. America - Tin Man
91. The Rubettes - Tonight
92. MFSB - TSOP (The Sound of Philadelphia)
93. Mike Oldfield - Tubular Bells
94. Aretha Franklin - Until You Come Back to Me
95. ABBA - Waterloo
96. Three Degrees - When Will I See You Again
97. Bachman–Turner Overdrive - You Ain't Seen Nothing Yet
98. Stevie Wonder - You Haven't Done Nothin'
99. The Stylistics - You Make Me Feel Brand New
100. Barry White - You're the First, The Last, My Everything

Based on the charts of the US and Europe.
The songs are in alphabetical order.
Song snippets are kept short due to copyright reasons.

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=ZugpB3avzN8&utm_medium=Lives&utm_source=Youtube
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🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=ZugpB3avzN8&utm_medium=Lives&utm_source=Youtube

This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

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

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

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➡️ 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.

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

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=ZugpB3avzN8&utm_medium=Lives&utm_source=Youtube

🔥 Generative AI Certification course: https://www.edureka.co/introduction-generative-ai

In this video, on *What is Generative AI* , we will dive into Generative AI, exploring its definition, key examples, and diverse applications across sectors like healthcare and education. We'll also discuss how generative AI shapes different fields, highlight its potential future impact, and showcase a practical mini-project. Using the YouTube Transcript API and Google's generative AI, we will learn how to build a video summarizer, providing a hands-on example of generative AI’s capabilities. This video is ideal for tech enthusiasts and beginners alike, as it unpacks generative AI's transformative role in the tech world.

✅ 00:00 - Introduction to Generative AI
✅ 03:05 - What is Generative AI?
✅ 04:10 - Applications of Generative AI
✅ 05:18 - How Generative AI Works?
✅ 06:24 - Examples of Generative AI Tools
✅ 07:40 - Future of Generative AI
✅ 08:32 - How to Build a Video Summarizer?

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- - - - - - - - - - - - - -
What are the Outcomes after learning a Generative AI course ?

Upon completing the Introduction to Generative AI Fundamentals Course, participants will attain the following learning outcomes:
Develop a comprehensive understanding of generative AI
Gain practical experience through interactive sessions and exercises
Familiarize with popular generative AI algorithms
Explore the creative potential of generative AI in generating realistic images, text, music, and other forms of media, fostering innovation and experimentation.
Understand the ethical implications and considerations associated with generative AI.

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

Why to Learn Generative AI course?

Enroll in the Introduction to Generative AI fundamentals Course to acquire a thorough grasp of generative models, covering everything from basic concepts to cutting-edge uses. Delve into ethical considerations and practical techniques for creating generative AI solutions for actual industry situations, equipping you for various positions in AI advancement and creativity.
- - - - - - - - - - - - - -
Who should learn Generative AI courses?

This course on Introduction to Generative AI is perfect for individuals aiming to pursue a career in AI, including data scientists, researchers, and developers who wish to explore generative models. It is also beneficial for professionals in various sectors, such as software development, marketing, and retail, who want to utilize AI for problem-solving and innovation.

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