🚨 Zero → AI Engineer in 6 Months (FREE Roadmap)
Most people don’t fail in AI because they lack talent.
They fail because they skip foundations and never build real systems.
Here’s the complete roadmap from Python → ML → LLMs → Deployment → AI Agents with real resources.
🗓 Month 1 Programming + Math Foundations
Learn:
• Python (OOP, data structures)
• Linear Algebra
• Probability & Statistics
Resources:
• Python – https://t.co/lkZtzrekUH
• Python basics – https://t.co/wAePUfmben
• Linear Algebra – https://t.co/XNz1Kb0XP4
• Statistics – https://t.co/TUBTGrL5fT
Output:
✅ Basic ML scripts
✅ Clean GitHub repo
🗓 Month 2 Machine Learning
Learn:
• Supervised & Unsupervised learning
• Regression, Classification, Clustering
• Model evaluation (precision, recall, bias)
Course:
• Andrew Ng ML – https://t.co/euQpfG8he7
Tools:
• Scikit-learn – https://t.co/YdNX6DSwwC
• Pandas – https://t.co/vvaBD96KkY
Output:
✅ End-to-end ML project (data → model → evaluation)
🗓 Month 3 Deep Learning
Learn:
• Neural Networks
• CNNs, RNNs, LSTMs
• Transformers
Courses:
• https://t.co/UL6etxyG3d – https://t.co/WCXHd4oADY
• https://t.co/p928B9nRPv – https://t.co/Ye3nmSzjw1
Output:
✅ Trained deep learning model
🗓 Month 4 LLMs & Prompt Engineering
Learn:
• Transformers & Attention
• Embeddings
• Vector search
• RAG systems
Practice:
• OpenAI – https://t.co/kMabaKlvxW
• Claude – https://t.co/qezBamlTM1
• HuggingFace – https://t.co/yk8qb0BXXe
• PromptHero – https://t.co/5ZBviqHG1y
🗓 Month 5 AI Systems, Tools & Deployment
Learn:
• FastAPI – https://t.co/avaOlxtpJQ
• Docker – https://t.co/vZy5fGmH9g
• Made With ML – https://t.co/7jEWMy9gyL
Industry Tools:
• LangChain
• Ollama
• Weights & Biases
• Git & GitHub
Output:
✅ Deployed AI API
✅ Logging + evaluation
🗓 Month 6 Cloud + Real AI Engineering
Learn:
• AWS – https://t.co/1wfQY6g2lJ
• Azure – https://t.co/Tueoc0ZOjL
• GCP – https://t.co/OOEyfq4zi1
Build:
• Recommendation system
• AI Agent (code helper / voice assistant / email summarizer)
• LLM application
Bonus (From the PDF Roadmap)
✔ Contribute to Open Source (Kaggle, Hugging Face Discord, GitHub)
✔ Build Portfolio using GitHub Pages or Notion
✔ Apply for internships on LinkedIn, Upwork, AngelList
✔ Post your journey: “Day 1 of Learning AI”
Recruiters don’t hire learners.
They hire visible builders.
AI Engineers in 2026 won’t just train models.
They’ll design AI systems.
Your GitHub is your resume.
Your deployed projects are your proof.
Which month are you currently at?
Simply:
1. Follow me (So I can DM)
2. Like & Repost
3. Comment "AI" to receive...
♻️ Repost if you’re building serious AI systems in 2026 to help others learn.
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🎯 RAG Systems & Vector Databases
🎯 LangChain & Agent Frameworks
🎯 AI Content Monetization
🎯 AI for Freelancers
🎯 Chatbot Development
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🎯 Generative AI for Business
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