Master AI engineering — the hottest role in tech right now. Learn to build applications with LLMs, fine-tune models, implement RAG, and deploy AI in production. Indian companies are hiring AI engineers at premium salaries.
AI engineering requires solid Python and basic ML understanding. Master numpy, pandas, and core ML concepts before touching LLMs.
By the end, you'll be able to
Mini-project
Build a movie recommendation system with collaborative filtering. Use pandas for data processing and scikit-learn for the model.
Understand how modern AI works: neural networks, transformers, attention mechanism, and training dynamics.
By the end, you'll be able to
Mini-project
Build a text classifier with PyTorch: data preprocessing, model training, evaluation, and inference pipeline.
Recommended Resources
Master Large Language Models: how they work, prompt engineering techniques, and how to get reliable outputs from ChatGPT, Claude, and open-source models.
By the end, you'll be able to
Mini-project
Build 5 prompt-engineered applications: a code reviewer, a content generator, a data extractor, a chatbot, and a summarizer.
Build production AI applications. Learn LangChain/LlamaIndex for chaining LLM calls, tool use, agents, and complex AI workflows.
By the end, you'll be able to
Mini-project
Build an AI research assistant that can search the web, read documents, answer questions, and cite sources.
The most important pattern in enterprise AI. Learn to build RAG systems: vector databases, embeddings, chunking, and retrieval strategies.
By the end, you'll be able to
Mini-project
Build a RAG chatbot that answers questions about your company docs: PDF ingestion, embedding, vector store, and conversational UI.
When prompts aren't enough, fine-tune. Learn LoRA, QLoRA, and how to customize models for specific domains and tasks.
By the end, you'll be able to
Mini-project
Fine-tune an open-source LLM for a specific domain (medical, legal, or financial). Compare against the base model.
Deploy AI to real users. Learn model serving, API design for AI, monitoring, cost optimization, and handling failure modes.
By the end, you'll be able to
Mini-project
Deploy your RAG chatbot to production: FastAPI backend, rate limiting, caching, monitoring, and a simple web UI.
AI engineering is new — portfolios matter more than degrees. Build 3-5 impressive AI projects and showcase them.
By the end, you'll be able to
Mini-project
Build a portfolio with your best AI projects. Write a blog post about each. Apply to 20+ AI engineering roles.
Recommended Resources
Not sure if this is the right roadmap? Browse all our career paths and find the one that matches your goals.