Learn about a platform to help direct, manage and monitor AI activities → https://ibm.biz/BdPu9s
Data Governance and Privacy → https://ibm.biz/Data_Governance_and_Privacy

Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides, automate the enforcement of data protection policies, and activate metadata to build data products faster for more intelligent decisions. Scott Buckles quickly explains this topic in 5 minutes.

Create Data Fabric instead of Data Silos: https://ibm.biz/Governance_and_Data_Fabric
Download a free AI ebook: https://ibm.biz/Governance_Free_AI_Ebook

Get started for free on IBM Cloud: https://ibm.biz/Governance_Free_Cloud_Account
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now

#AI #Software #ITModernization #DataGovernance #lightboard #IBM #watsonx

Here's the roadmap that I would follow to learn artificial intelligence (AI).
📚 Get the FREE roadmap here ➡️ https://bit.ly/data-alchemy

⏱️ Timestamps
00:00 Introduction
00:34 Why learn AI?
01:28 Code vs. Low/No-code approach
02:27 Misunderstandings about AI
03:27 Ask yourself this question
04:19 What makes this approach different
05:42 Step 1: Set up your environment
06:54 Step 2: Learn Python and key libraries
08:02 Step 3: Learn Git and GitHub Basics
08:35 Step 4: Work on projects and portfolio
13:12 Step 5: Specialize and share knowledge
14:31 Step 6: Continue to learn and upskill
15:39 Step 7: Monetize your skills
16:53: What is Data Alchemy?

🛠️ Explore ProjectPro
https://bit.ly/3q837w8

👋🏻 About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.

🎓 My Courses
https://www.skool.com/data-alchemy
https://www.skool.com/data-freelancer

✔️ How I manage my business and dev projects
https://clickup.pxf.io/k0EN9N

📊 How I'm using data to track my health
https://join.whoop.com/datalumina

🔗 Let's Connect
https://www.linkedin.com/in/daveebbelaar/
https://www.instagram.com/daveebbelaar/

📥 Datalumina's Newsletter
https://www.datalumina.com/newsletter

#ai #roadmap #datalumina

📌 Video Description
In this video, Dave shares a comprehensive and actionable roadmap for anyone looking to start their journey into the exciting world of artificial intelligence (AI) in 2024. Whether you're a complete beginner or someone looking to pivot your career towards AI, this video lays out a step-by-step guide that demystifies the process of learning AI from the ground up. Dave highlights the significance of AI in today's tech landscape and addresses common misconceptions that newcomers might have.

With a focus on practical learning, the video emphasizes the importance of choosing between a code-centric or a low/no-code approach, making AI accessible to a broader audience. Dave's unique approach involves asking a critical question that shapes the learning path, ensuring that viewers embark on a journey tailored to their goals and interests.

The roadmap detailed in the video covers essential steps such as setting up your learning environment, mastering Python and key libraries crucial for AI, understanding the basics of Git and GitHub, and the importance of working on projects to build a strong portfolio. Dave also talks about the importance of specialization and the continuous process of learning and upskilling in fields like generative AI, large language models, chatbots, and machine learning.

Furthermore, Dave shares insights on how to monetize your AI skills, turning your passion into a profession. The video concludes with an introduction to Data Alchemy, a concept that encapsulates the transformative power of AI knowledge.

For those eager to dive into the AI world, Dave offers a free roadmap accessible through the link provided in the video description. This invaluable resource serves as a compass for navigating the complexities of AI learning, making it an essential watch for anyone interested in artificial intelligence, machine learning, and related technologies.

In this video you'll learn about ways to tell probability distributions apart. method for finding zeros of a polynomial.
This is part of the Math for ML Specialization with @Deeplearningai Check it out here!
https://bit.ly/4imAtNz

Other samples of the M4ML Specialization:
Linear Algebra: Discrete Dynamical Systems: https://www.youtube.com/watch?v=7SfocUa8gis
Calculus: Newton's method https://www.youtube.com/watch?v=TEsJpHTGURo
Probability/Statistics: (this one)

00:24 Average
04:31 Variance
10:24 Skewness
16:32 Kurtosis

Covariance matrix video: https://youtu.be/WBlnwvjfMtQ
Clustering video: https://youtu.be/QXOkPvFM6NU

A friendly description of Gaussian mixture models, a very useful soft clustering method.

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

0:00 Introduction
0:13 Clustering applications
1:56 Hard clustering - soft clustering
3:36 Step 1: Colouring points
6:10 Step 2: Fitting a Gaussian
10:33 Gaussian Mixture Models (GMM)

This is Week 01 Live Session of BeSA Batch 09 focused on Agentic AI on AWS.
🔴 LIVE SESSION: Foundation of Agentic AI

Join us for a live deep-dive into the Foundation of Agentic AI — the next evolution of AI systems that can plan, reason, and take actions autonomously.

In this live session, we will break down the core concepts behind Agentic AI in a practical and beginner-friendly way. You’ll understand how AI is shifting from passive assistants to autonomous agents capable of goal-driven execution and intelligent decision-making.

What you’ll learn in this LIVE session:
- What is Agentic AI (vs Generative AI)
- Core building blocks of AI Agents
- Planning, reasoning, and tool usage
- Memory and orchestration in agentic systems
- Single-agent vs Multi-agent architectures
- Real-world use cases and architecture patterns

How Agentic AI fits into modern cloud and AI solutions

This session is ideal for Solutions Architects, Developers, AI Engineers, and anyone looking to understand how next-generation AI systems are designed and implemented.

📌 Live Q&A included — bring your questions!
📌 Beginner-friendly + architecture-focused
📌 Practical insights for real-world AI systems

Don’t miss this session if you want to build a strong foundation in AI Agents and Agentic AI.

#AgenticAI #LiveSession #AIonAWS #AIAgents #ArtificialIntelligence #AIArchitecture #GenerativeAI

The imagedeep.io series serves to bridge the knowledge gap between medical imaging and AI education.

It was co-founded and is co-instructed by:

Mazen Zawaideh, MD. Chief Radiology Resident and imagedeep.io co-instructor.

David Haynor, MD, Ph.D. Professor of Neuroradiology and imagedeep.io co-instructor.

Nathan Cross, MD. Assistant Professor of Neuroradiology and imagedeep.io co-instructor.

To learn more, visit www.imagedeep.io

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

Introduction to Deep Learning and Generative Models (Spring 2020). Optional lecture 6.5, explaining how to use Google Colab for Jupyter notebooks with a free GPU.

Whatever your current skill level, this course will help you become an AI power user.

Learn to:

Find information: Get accurate, well-sourced answers using AI web search and deep research modes.

Brainstorm & Write: Use AI as a thought partner to get honest feedback and write natural-sounding text.

Create & Build: Generate images and build simple websites and apps with no coding required.

Taught by AI pioneer Andrew Ng, you’ll learn how to effectively use modern AI for the main things people use it for: finding information, brainstorming and writing, and working with multimedia and code.

If you want to get certified and access to course labs and quizzes, enroll here: https://bit.ly/4wFmOZl

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

🔥Enroll for Agentic AI Course: https://intellipaat.com/agenti....c-ai-systems-design-

🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97

Learn Agentic AI from scratch with this complete course covering the core concepts, frameworks, and technologies powering modern AI agents. Begin with the fundamentals of Generative AI vs Agentic AI, understand how Generative AI systems work, and explore LangChain, AI Agents, and Agentic AI Design Patterns.

Go deeper into Agentic AI Frameworks, Embeddings, Large Language Models (LLMs), and RAG Agents to understand how intelligent systems process information, retrieve relevant context, and perform tasks. The course also introduces Model Context Protocol (MCP) and its importance in connecting AI models with external tools, applications, and data.

Whether you’re a beginner exploring Agentic AI or a developer looking to build AI-powered applications, this course provides a structured foundation to understand the concepts and technologies behind AI agents. Use the timestamps below to navigate through each topic and learn at your own pace.

📖 Below are the concepts covered in the video on "Agentic AI Full Course":
00:00:00 – Introduction to Agentic AI Course
00:01:18 – Generative AI vs Agentic AI
00:10:57 – What is a Generative AI System?
01:03:48 – What is LangChain
01:23:32 – AI Agents
01:41:50 – Agentic AI Design Patterns
02:33:37 – Agentic Frameworks & Basics
04:34:25 – Embeddings
05:05:53 – Large Language Model
06:54:04 – RAG Agent
07:52:06 – Model Context Protocol

#AgenticAI #AIAgents #LangChain #RAG #LLM #ArtificialIntelligence #GenerativeAI #Intellipaat

➡️ About the Course
The Agentic AI Systems & Design course by Intellipaat is an advanced program focused on building autonomous AI agents that can plan, reason, and execute tasks using tools like APIs, coding environments, and web search. Unlike traditional Generative AI courses, this program goes beyond prompt-based outputs and teaches you how to design production-grade AI systems capable of independent decision-making and complex problem-solving. It is ideal for professionals such as data scientists, AI/ML engineers, and developers who want to move from basic AI usage to creating intelligent, real-world applications powered by agentic workflows

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930

Try out Junie: https://jb.gg/JunieAI-coding

AI is alright if you have a brain. AI can give good sloppy.

This video is sponsored by JetBrains.

// USEFUL AI RESOURCES //
MCPs: https://mcpmarket.com/server
AGENTS.MD: https://agents.md/#examples
Claude prompting best practices: https://platform.claude.com/do....cs/en/build-with-cla
OpenAI prompting best practices: https://help.openai.com/en/art....icles/6654000-best-p

// NEWSLETTER //
Sloth Bytes: https://slothbytes.beehiiv.com/subscribe

// BUSINESS INQUIRIES //
For business: [email protected]
For brand partnerships: https://tally.so/r/mZVvKa

// SOCIALS //
Twitter: https://twitter.com/TheCodingSloth1
TikTok: https://www.tiktok.com/@thecodingsloth
Discord: https://discord.gg/2ByMHqTNca

// TOOLS/THINGS I REALLY LIKE //
If you wanna build 10x developer level projects check out CodeCrafters (40% off):
https://app.codecrafters.io/jo....in?via=TheCodingSlot
If you want to build an awesome newsletter like Sloth Bytes I use beehiiv (20% off):
https://www.beehiiv.com?via=the-coding-sloth

(some of these links are affiliates, so I'll earn some money which supports the channel!)

Setting up a local AI model can be intimidating, which is why I created this video. In this video I will show you everything you need to know about setting up local AI models from the basics of how local AI models work, to how to optimize local AI models for your hardware, and even how to use these local AI models in real world agentic environments.


📚 Materials/References:

LM Studio: https://lmstudio.ai/
Hugging Face: https://huggingface.co/
Pi Coding Agent: https://pi.dev/


🌎 Find Me Here:

My Blog: https://blog.webdevsimplified.com/
My Courses: https://courses.webdevsimplified.com/
Patreon: https://www.patreon.com/WebDevSimplified
Twitter: https://twitter.com/DevSimplified
Discord: https://discord.gg/7StTjnR
GitHub: https://github.com/WebDevSimplified
CodePen: https://codepen.io/WebDevSimplified


⏱️ Timestamps:

00:00 - Introduction
01:08 - How Local AI Works
05:33 - Picking Models
11:46 - Configuring Your Model
21:57 - Using Local Models In Your IDE
34:17 - Using Local Models With Copilot
38:17 - Using Local Models With Pi
40:55 - Comparing Local Models to Anthropic Models


#LocalAI #WDS #AgenticCoding

AI Agents are everywhere from automated emails to running deep research, striving to leverage the full power of LLMs. And for many of us, it boils down to one question: To code or not to code? Is the future of AI in the hands of seasoned developers building agents with LangGraph, ADK, Agno? Or with everyone else, using drag & drop in a no-code platform like n8n, Zapier, Make?

In this video, I will discuss which approach wins.

Build your first no code AI agent: https://youtu.be/Jekzc6BM5_w
LangGraph tutorial: https://youtu.be/CnXdddeZ4tQ
CrewAI tutorial: https://youtu.be/G42J2MSKyc8


Do you want to learn technology from me? Check https://resources.codebasics.io/6kp3C8 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

Get started with Snyk's MCP today: https://snyk.plug.dev/ZlOH7qR
---

Opencode is different, because it's built for YOU. It's not affiliated with one provider or another, and let's you use its internal router to make sure you get the latest and greatest, always.

✅ Build a Second Brain With Neovim in Under 90 Minutes: https://learn.dotb.sh/courses/second-brain-neovim

✅ Zero To KNOWING Kubernetes in Under 90 Minutes:
https://learn.dotb.sh/courses/k8s-from-scratch
❗Use `devopstoolbox20` at checkout for 20% off!

⌨️ The keyboard on this video is the Dygma Defy: http://dygma.com/DEVOPSTOOLBOX
🎹 Keycaps on my Defy are made by 3DKeyCaps: https://3dkeycap.com/?ref=vxdqqmmo
⚡ Tech I use: https://kit.co/omerxx/my-battle-station