Documentation Index
Fetch the complete documentation index at: https://ai.tharung.in/llms.txt
Use this file to discover all available pages before exploring further.
AI Engineering Roadmap
Master:- Python
- Machine Learning
- Deep Learning
- LLM Engineering
- RAG
- AI Agents
- MLOps
- System Design
Start Learning
Follow the complete step-by-step AI Engineering roadmap.
Core Learning Phases
Phase 0 — Orientation
Understand AI Engineering, market demand, and roadmap planning.
Phase 1 — Python
Learn Python, async programming, NumPy, Pandas, and OOP.
Phase 2 — Mathematics
Linear algebra, calculus, probability, optimization.
Phase 3 — Machine Learning
Regression, trees, clustering, evaluation metrics.
Phase 4 — Deep Learning
Neural networks, PyTorch, CNNs, transformers.
Phase 5 — NLP & Transformers
Attention, embeddings, GPT, BERT, tokenization.
Phase 6 — LLM Engineering
Prompt engineering, APIs, streaming, routing.
Phase 7 — Multi LLM Systems
Build intelligent routing and orchestration systems.
Phase 8 — RAG
Vector databases, embeddings, retrieval systems.
Phase 9 — AI Agents
Autonomous AI agents with tools and memory.
Phase 10 — Fine-tuning
LoRA, QLoRA, RLHF, DPO pipelines.
Phase 11 — Generative AI
Diffusion models, multimodal AI, voice AI.
Phase 12 — MLOps & LLMOps
Deployment, observability, Kubernetes, monitoring.
Phase 13 — AI System Design
Design scalable AI systems and architectures.
Phase 14 — SQL + pgvector
Build vector search systems using Postgres.
Phase 15 — Quantization
Optimize models for fast inference.
Phase 16 — Reinforcement Learning
PPO, RLHF, reward models, DPO.
Phase 17 — AI Safety
Ethics, governance, privacy, AI security.
Featured Projects
Multi-LLM Platform
Build production-grade AI orchestration systems with routing and fallback.
Enterprise RAG
Multi-tenant RAG with reranking, HyDE, and vector databases.
AI Agent Platform
Autonomous research and coding agents with tool usage.
Production AI Infrastructure
Kubernetes + monitoring + observability for AI systems.
Learning Stack
Languages
Python, SQL, TypeScript
Frameworks
PyTorch, FastAPI, LangChain
Infrastructure
Docker, Kubernetes, Redis
Databases
Postgres, Pinecone, Qdrant
AI APIs
OpenAI, Claude, Gemini
Deployment
Vercel, AWS, GCP
Final Capstone
Production AI Platform
Combine Multi-LLM routing, RAG, Agents, Fine-tuning, Monitoring, and
Kubernetes deployment into a single enterprise-grade platform.