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In this lecture, we highlight the course logistics and give a brief overview of the course.
Welcome to the first video in my Deep Learning With Pytorch playlist!
In this video I'll talk a little bit about what a Neural Network is, and give you a little bit of background history on Pytorch vs. Tensorflow.
Then we'll set up a development environment using Google Colab, and create a first notebook and push it to a Github repository.
#pytorch #codemy #JohnElder
Timecodes
0:00 - Introduction
1:12 - Pytorch vs. Tensorflow
2:32 - What is a Neural Network?
4:10 - How Much Math Do You Need?
7:14 - Pytorch Documentation
7:37 - Development Environment Google Colab
9:09 - Use GPU Runtime
10:24 - Check Latest Version of Pytorch
12:04 - Set Up Github Repository
13:36 - Authorize Colab In Github
14:35 - Push Notebook To Github
16:09 - Conclusion
Intro to Deep Learning - Part 1
In this video, I introduce the fundamentals of deep learning with a real-world scenario:
📌 Predicting how much it will rain tomorrow (precipitation).
Suitable for beginner to intermediate practitioners in machine learning and AI.
🔍 Topics Covered in Part 1:
1. Scenario: How can we predict precipitation?
2. Data-Driven Approach:
- Adding more variables (features)
- Nearest neighbor
- Mapping vectors to real numbers
3. Machine Learning:
- Random search
💡 Coming in Part 2:
3. Machine Learning:
- Derivative
- Gradient Descent
4. Conclusion and Summary
A brief introduction into the concepts behind deep learning.
Github repo:
https://github.com/mlberkeley/intro-dl-workshop
🔥Agentic AI Training Course - Master AI Agents: https://www.edureka.co/agentic-ai-training-course
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
Explore the future of artificial intelligence with Agentic AI! In this video, we dive into the exciting developments and advancements that are set to shape the industry in 2026. We will learn what Agentic AI is and how it goes beyond traditional AI by acting with purpose and autonomy. You’ll discover 5 powerful secrets behind Agentic AI—from multi-agent collaboration to real-world tool integration and ethical guardrails. By the end, you’ll understand how Agentic AI is transforming industries and why it’s the future of intelligent systems.
Join us as we discuss the latest trends, innovations, and predictions for Agentic AI in 2026. Whether you're an AI enthusiast, a business leader, or simply curious about the future of technology, this video is for you. Stay ahead of the curve and discover what's next for Agentic AI!
00:00:00 Introduction
00:17:13 What is Agentic AI?
00:36:19 Agentic AI vs Generative AI
00:46:07 Agentic AI Roadmap
00:52:18 Introduction to Artificial Intelligence
00:58:37 Introduction to Deep Learning
02:28:29 Artificial Neural Network
03:08:09 Transformers Explained Using Generative AI
03:09:37 Transformers Neural Networks Explained
03:21:52 What are Large Language Models?
03:38:17 LLM vs SLM
03:41:59 What is LangChain?
03:59:35 What is RAG?
04:22:07 LLMOps: The Future of AI Development
04:29:57 Prompt Engineering
04:42:41 Natural Language Processing (NLP) & Text Mining using NLTK
05:22:21 KNN Algorithm using Python
05:45:23 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
05:49:47 DeepSeek vs OpenAI: Who Wins the AI Race?
06:02:06 Deep Learning Interview Questions
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- - - - - - - - - - - - - -
What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations.
What are the prerequisites for this Agentic AI Training Course?
In order to complete this course successfully, participants need to have a basic understanding of the Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts.
Who should take this AI Agents Training Course?
The Agentic AI online Training Course is ideal for AI enthusiasts, developers, and professionals looking to build autonomous AI agents. It is best suited for LLM Engineers, Generative AI Engineers, AI Research scientists, AI/ML practitioners, and freshers who want to leverage Agentic AI for automation and decision-making.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823(toll-free).
#agenticai #aiagents #agenticaicourse #generativeai
GStack is an open-source toolkit built by YC President & CEO Garry Tan that turns Claude Code into an AI engineering team — with skills for office hours, design, code review, QA, and browser testing.
Use it with Claude Code or Codex or Cursor. It's free and open source: https://github.com/garrytan/gstack
In this video, Garry walks through how GStack works, starting with Office Hours, a skill modeled after real YC partner sessions that pressure-tests your idea before you write a line of code. He demos it live, going from idea through adversarial review, design mockups, and automated QA in a single session.
00:00 – AI Just Changed Coding Forever
00:09 – From YC to Building With AI
01:07 – Why AI Coding Feels So Different
02:45 – Turning AI Into a Real Team (GStack)
03:45 – Let’s Build an App Live
05:23 – The Question That Kills Most Ideas
07:13 – This Idea Just Got Way Bigger
08:38 – The “Feels Illegal” AI Hack
10:50 – Upgrading the Idea in Real Time
12:44 – Breaking + Fixing the Plan
14:25 – AI Designs the App
16:59 – The Full System Explained
18:00 – Running Multiple AI Engineers
20:00 – Shipping 10x Faster
21:20 – The Only Thing That Matters Now
Apply to Y Combinator: https://www.ycombinator.com/apply
Work at a startup: https://www.ycombinator.com/jobs
https://www.conductor.build/
🔵 Intellipaat Data Engineering course: https://intellipaat.com/pgp-da....ta-engineering-mit-j
In this Data Engineering Course, you will learn what is Data Engineering, How to Become a Data Engineer, Why Data Engineering is important, What is Big Data Engineering, the Importance of Big Data, the Difference between Data Engineer and Data Scientist, Big Data Engineering, What is Hadoop, Apache Spark Tutorial, AWS Elastic Map Reduce Tutorial, Azure Data Factory Tutorial, Data Engineering Career Roadmap and lot more. This Data Engineer Full Course will help you to understand Data Engineering from scratch.
#DataEngineeringCourse #DataEngineer #DataEngineeringTraining #DataEngineeringFullCourse #BestDataEngineeringCourse #DataEngineerCourse #FreeDataEngineerCourse #Intellipaat
🔵 Following topics are covered in this session:
00:00 - Introduction to Data Engineer
1:50:08 - What is Spark?
2:18:02 - Spark's Mllib
3:19:45 - Spark-Hive Integration
3:37:57 - Configuration Options
3:49:35 - What is AWS?
4:46:57 - Azure Data Factory
5:01:30 - Integration Runtime in Azure Data Factory
7:09:55 - Data Engineer Career Path
7:19:22 - Top 50 Data Engineer Interview Questions
🔵 Why Data Engineering is important?
Data engineering helps make data more useful and accessible for consumers of data. To do so, Data engineering must source, transform and analyze data from each system. For example, data stored in a relational database is managed as tables, like a Microsoft Excel spreadsheet. Each table contains many rows, and all rows have the same columns. A given piece of information, such as a customer order, may be stored across dozens of tables.
🔵 Why should you opt for a Data Engineering career?
Data engineers must have specialized skills in creating software solutions around data. At the same time, it’s perhaps unrealistically expected that Data Engineers will be familiar with a breadth of tools and technologies – anywhere from 10 to 30 of them. And these tools are constantly changing.
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Credits :
Lofi (Slowed + Reverb) By - BARATO NATION
Present By - BARATO NATION
Song Credits :
Song: Sifar Safar
Singer/Lyrics/Composer: Karan Aujla
Music: Mxrci
Video Director: Qarn Mallhi
Summer songs to dance ~ Best songs that make you dance
💞 Donate for A.C Vibes:
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🎵 Spotify Playlist
Songs make you dance: https://spoti.fi/3MTKPFV
Summer Songs: https://spoti.fi/3WTFJ0Y
Childhood Songs: https://spoti.fi/3NeihbG
Sing Out Loud: https://spoti.fi/45LcQIy
Start Your Day: https://spoti.fi/461Yq7d
Party Music Mix: https://spoti.fi/3OZgFnG
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#ACvibes #dancesongs #summersongs
Video keywords: "A.C Vibes" "chill music" "chill songs" "rnb mix" "top hits" "pop music" "pop hits" "english songs" "dancing in my room" "happy chill song" "morning music" "songs make you feel better" "songs make you smile" "energy healing" "relaxing music" "happy song" "happy song playlist" "music mix" "party songs" "popular songs" "best music" "songs make you dance" "playlist of songs to dance to" "playlist of songs that make you dance" "party music" "party music mix" "songs to put you in a good mood" "songs for a better mood" "good mood music" "good mood songs" "dancing" "happy music" "dance to a happy place music video" "dance songs" "happy morning music" "dance party" "happy songs" "nostalgia" "a playlist of songs that'll make you dance" "mood booster" "feel good" "feeling good" "songs to sing" "songs to sing in the shower" "songs to sing in the car" "popular songs" "trending music" trending songs" "dance" "tiktok" "tiktok playlist" "tiktok songs" "tiktok songs playlist" "playlist of songs that'll make you dance" "best dance songs playlist" "dancing"
1 Theme from A Summer Place - Percy Faith
2 He'll Have to Go - Jim Reeves
3 Cathy's Clown - The Everly Brothers
4 Running Bear - Johnny Preston
5 Teen Angel - Mark Dinning
6 I'm Sorry - Brenda Lee
7 It's Now or Never - Elvis Presley
8 Handy Man - Jimmy Jones
9 Stuck on You - Elvis Presley
10 The Twist - Chubby Checker
11 Everybody's Somebody's Fool - Connie Francis
12 Wild One - Bobby Rydell
13 Greenfields - The Brothers Four
14 What in the World's Come Over You - Jack Scott
15 El Paso - Marty Robbins
16 Alley Oop - The Hollywood Argyles
17 My Heart Has a Mind of Its Own - Connie Francis
18 Sweet Nothin's - Brenda Lee
19 Itsy Bitsy Teenie Weenie Yellow Polka Dot Bikini - Brian Hyland
20 Only the Lonely - Roy Orbison
21 Where or When - Dion and the Belmonts
22 Sixteen Reasons - Connie Stevens
23 Puppy Love - Paul Anka
24 Why - Frankie Avalon
25 Walk, Don't Run - The Ventures
26 Save the Last Dance for Me - The Drifters
27 Baby (You've Got What It Takes) - Dinah Washington & Brook Benton
28 Sink the Bismarck - Johnny Horton
29 Chain Gang - Sam Cooke
30 Let It Be Me - The Everly Brothers
1 The First Time Ever I Saw Your Face - Roberta Flack
2 Alone Again (Naturally) - Gilbert O'Sullivan
3 American Pie - Don McLean
4 Without You - Harry Nilsson
5 The Candy Man - Sammy Davis, Jr.
6 I Gotcha - Joe Tex
7 Lean on Me - Bill Withers
8 Baby, Don't Get Hooked on Me - Mac Davis
9 Brand New Key - Melanie
10 Daddy Don't You Walk So Fast - Wayne Newton
11 Let's Stay Together - Al Green
12 Brandy (You're a Fine Girl) - Looking Glass
13 Oh Girl - The Chi-Lites
14 Nice to Be with You - Gallery
15 My Ding-a-Ling - Chuck Berry
16 (If Loving You Is Wrong) I Don't Want to Be Right - Luther Ingram
17 Heart of Gold - Neil Young
18 Betcha by Golly, Wow - The Stylistics
19 I'll Take You There - The Staple Singers
20 Ben - Michael Jackson
21 The Lion Sleeps Tonight - Robert John
22 Outa-Space - Billy Preston
23 Slippin' Into Darkness - War
24 Long Cool Woman in a Black Dress - The Hollies
25 How Do You Do - Mouth & MacNeal
26 Song Sung Blue - Neil Diamond
27 A Horse with No Name - America
28 Popcorn - Hot Butter
29 Everybody Plays the Fool - The Main Ingredient
30 Precious and Few - Climax
See the full UK Top 100 singles, published Fridays 5.45pm: https://www.officialcharts.com..../charts/singles-char
This week...
⬆️ @GracieAbramsis BACK at the top with That’s So True for a sixth (!) week
⬆️ @LolaYoungggviral breakout hit Messy (3) vaults into Top 5 for the first time, earning a new chart peak
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Learn how to build AI agents from scratch in this beginner-friendly tutorial!
Jan breaks down the complex world of AI agents into simple, understandable components and shows you how to create a fun "Santa's Helper" agent that researches toys and sends wish lists - all without writing a single line of code.
What you'll learn:
▶︎ Understanding AI agent components and architecture
▶︎ Setting up large language models (LLMs)
▶︎ Implementing agent memory systems
▶︎ Writing effective agent system prompts
▶︎ Connecting research and web search tools
▶︎ Automating email communications
▶︎ Testing and debugging agents
▶︎ Real-world business applications
⏰ TIMESTAMPS
00:00 What are AI agents and how do they work
00:30 AI agent components and architecture explained
02:31 Understanding agent tools and capabilities
05:19 Building your first agent in n8n
06:30 Connecting language models to your agent
07:37 Why memory is crucial for AI agents
09:35 Creating effective system prompts for agents
12:08 Adding web search capabilities to agents
14:38 Setting up email automation tools
15:26 Testing and debugging your AI agent
18:22 Business use cases and advanced applications
📚 RESOURCES MENTIONED
https://www.youtube.com/watch?v=SzPE_AE0eEo
https://www.youtube.com/watch?v=6BRyynZkvf0
https://www.youtube.com/watch?v=vgncj7MJbVU
https://www.youtube.com/watch?v=0GX7xEeRPIo
👨🏫 OUR COURSES
🆓 AI Starter Course: https://go9x.me/ceosy5
🧠 AI Operator Course: https://go9x.me/dh1te0
🤖 AI Builder Course: https://go9x.me/g7dv14
🤝 CONNECT WITH 9x
🌐 9x Website: https://go9x.me/q2smyf
💻 9x LinkedIn - https://www.linkedin.com/company/go9x/
💭 Jan - https://www.linkedin.com/in/jan-meinecke/
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#AIAgents #n8n #NoCode #Automation #AITutorial #Gemini #Perplexity #DigitalWorkers
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Most people use Claude wrong — they paste a task into chat and call it an agent. A real agent has a process, knows when it's uncertain, and asks before it acts. In this tutorial I show you how to build one with no code, no APIs, no developer setup — just Claude Desktop and a folder on your computer.
We cover the 3 levels of working with Claude, how to set up your Claude Code workspace, why the CLAUDE.md file is the most important piece of the whole system, and how planning mode stops Claude from guessing. Then we build two real agents live. Plus the 5 mistakes that kill most agent builds.
Chapters:
00:20 What an AI Agent Actually Is
03:05 The Three Things That Make an Agent Real
04:32 Setting Up Your Workspace
05:38 CLAUDE.md — The File That Changes Everything
08:11 The Habit That Makes or Breaks Results
10:13 How Agent Systems Are Actually Structured
12:04 Building Your First Real Workflow
13:51 Running the Agent on a Live Task
15:22 Iterating on the Output
16:26 Building a Second Workflow
17:53 The Five Mistakes That Kill Agent Workflows
20:12 Expanding Your Agent Stack Over Tim
#claude #aiagents #claudetutorial #aiautomation #aimaster