STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI.
I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses.
VIDEOS:
1. LLM Introduction — https://t.co/IdsoXwXEtU…
2. LLMs from Scratch — https://t.co/WTcBdMmZc6…
3. Agentic AI Overview (Stanford) — https://t.co/3ATgbrhkrG…
4. Building & Evaluating Agents — https://t.co/lOkAgNtaN4…
5. Building Effective Agents — https://t.co/c7Sbr58apt…
6. Building Agents with MCP — https://t.co/pIM5X0yuHd…
7. Building an Agent from Scratch — https://t.co/y324tstqIt…
8. Philo Agents — https://t.co/3mwd213gqb…
COURSES:
1. Google Introduction to Generative AI https://t.co/Kjruk1OZiA
2. Google Prompting Engineering https://t.co/QGVb2WkARp
3. Google AI Essentials https://t.co/pbdjCxX1tA
4. Google Crash Course on Python https://t.co/RDtOp2z5M7
5. Google Cloud Fundamentals https://t.co/ur2JX9jGpt
6. Google Data Analytics https://t.co/ur2JX9jGpt
7. Get Started with Python by Google https://t.co/NJsoKJhckD
8. Google Cybersecurity Professional Certificate https://t.co/gIAzIC3u0H
9. Introduction to Web Development https://t.co/wY0beuPRtT
10. AI for Everyone - DeepLearning AI https://t.co/TW8835ha7i
11. Become AI Developer https://t.co/viGLW1iLz6
12. Generative AI Automation https://t.co/AO9iPzX3JO
13. Building with Large Language Models by DeepLearning AI https://t.co/lYe6R874R7
14. Prompt Engineering Basics by IBM https://t.co/tUcwVmGmgD
15. Google Digital Marketing & E-commerce https://t.co/gm7XyvSJto
GITHUB REPOS:
1. GenAI Agents — https://t.co/1fSfbsFqu0…
2. Microsoft AI Agents for Beginners — https://t.co/AXG62PvWKR…
3. Prompt Engineering Guide — https://t.co/Pu53z75quw…
4. Hands-On Large Language Models — https://t.co/9fFb45UZL7…
5. GenAI Agents — https://t.co/e5q4arvBJl…
6. Made with ML — https://t.co/c57QMwY48Z…
7. Hands-On AI Engineering — https://t.co/Uqpfw18DOi…
8. Awesome Generative AI Guide — https://t.co/aMTEjRLEiE…
9. Designing Machine Learning Systems — https://t.co/3ShgQuz2Xx…
10. Machine Learning for Beginners — https://t.co/0zcCxlk7QC…
11. LLM Course — https://t.co/Bd10skFq3U…
GUIDES:
1. Google's Agent Whitepaper — https://t.co/n29qxaLBI6…
2. Google's Agent Companion — https://t.co/n29qxaLBI6…
3. Building Effective Agents by Anthropic — https://t.co/gQfCOIEJie…
4. Claude Code Agentic Coding Practices — https://t.co/abQy8QgjQX…
5. OpenAI's Practical Guide to Building Agents — https://t.co/vq4a9F6Pt3…
BOOKS:
1. Understanding Deep Learning — https://t.co/wSOTdopzJU
2. Building an LLM from Scratch — https://t.co/BhTe1K4CSp…
3. The LLM Engineering Handbook — https://t.co/qMvFEg46vD…
4. AI Agents: The Definitive Guide — https://t.co/KjSgdYRjGu…
5. Building Applications with AI Agents — https://t.co/wc7tkCX3pY…
6. AI Agents with MCP — https://t.co/KjSgdYRjGu…
7. AI Engineering — https://t.co/KjSgdYRjGu…
RESEARCH PAPERS:
1. ReAct — https://t.co/v1UH2YHvNC
2. Generative Agents — https://t.co/2puyRVHQmO
3. Toolformer — https://t.co/imWSO9oaE2…
4. Chain-of-Thought Prompting — https://t.co/32h0Ajj27Y
Repost so someone else can find this roadmap, and pls consider following @iansh04_ for more content.
Goldmine for AI Engineers! 📌
If you're learning AI, ML, LLMs, or AI agents, don't waste hours jumping between random tutorials.
These are 10 repositories I'd actually keep bookmarked - from Python fundamentals to ML, LLMs, agents, and production AI.
1. Python - 100 Days
jackfrued/Python-100-Days
A 100-day Python learning path covering fundamentals, data analysis, web development, and more.
GitHub:
https://t.co/ED5Fm7Ei3Q
2. Generative AI for Beginners
microsoft/generative-ai-for-beginners
A practical introduction to building Generative AI applications.
Covers:
• LLM fundamentals
• Prompt engineering
• RAG
• AI agents
• Fine-tuning
• AI application development
GitHub:
https://t.co/kdQ2b6jBYB
3. LLMs From Scratch
rasbt/LLMs-from-scratch
Want to understand what's actually happening inside an LLM?
Build one step by step.
Covers:
• Tokenization
• Embeddings
• Attention
• Transformers
• Training
• Fine-tuning
GitHub:
https://t.co/lzCKdk7kl1
4. Machine Learning for Beginners
microsoft/ML-For-Beginners
A structured 12-week, 26-lesson curriculum covering classical machine learning.
A good starting point if you want ML fundamentals before jumping into LLMs.
GitHub:
https://t.co/AlXqh5KO9b
5. OpenAI Cookbook
openai/openai-cookbook
A collection of practical examples and guides for building applications with OpenAI models.
Useful when you want to move from:
Learning → Building
GitHub:
https://t.co/FrBiKTbIS6
6. Stable Diffusion
CompVis/stable-diffusion
Interested in generative image models?
This repository contains the original Stable Diffusion implementation and research code.
GitHub:
https://t.co/25e7FVkHIf
7. AI Agents for Beginners
microsoft/ai-agents-for-beginners
A practical course for understanding and building AI agents.
Covers:
• Agentic AI
• RAG
• Agent frameworks
• Tool use
• Multi-agent systems
GitHub:
https://t.co/oAn2ptn2T5
8. AI for Beginners
microsoft/AI-For-Beginners
A structured 12-week, 24-lesson introduction to AI.
Covers:
• Neural networks
• Computer vision
• NLP
• Deep learning
• Classical AI
GitHub:
https://t.co/p4PdLnL89o
9. LLM App
pathwaycom/llm-app
Focused on building practical LLM applications.
Explore:
• RAG
• AI pipelines
• Enterprise search
• Real-time data
• Vector search
GitHub:
https://t.co/LYMOE4PgWj
10. Segment Anything
facebookresearch/segment-anything
A foundation model for promptable image segmentation.
Worth exploring if you're interested in computer vision and multimodal AI.
GitHub:
https://t.co/j0mPn2or2V
Don't bookmark all 10 and forget about them.
Pick based on where you are:
Python → Python-100-Days
ML → ML-For-Beginners
AI Fundamentals → AI-For-Beginners
LLMs → LLMs-from-scratch
Generative AI → Generative-AI-for-Beginners
Agents → AI-Agents-for-Beginners
Building → OpenAI Cookbook / LLM App
Computer Vision → Segment Anything
Pick one.
Build something.
Then move to the next.
Linux Fundamentals Guide — Vol. 03
Download here : https://t.co/R0ftSTp1vw
Only for serious Linux & cybersecurity learners
Beginner → Advanced Linux
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