ChatGPTPrompting
Generative AIBeginner
Prompt Engineering & AI Productivity Mastery
Learn the frameworks professionals use to get dependable results from AI assistants and automate everyday work.
14 hrs5 modules22.1K learners
₹1,499₹3,999
Generative AI IntermediateBestseller
Generative AI Engineering: Build Production LLM Apps
Go from prompts to deployed RAG apps, agents and AI products.
14.8K learners English Updated October 2026
Taught by Aarav Mehta, Senior AI Engineer
What you'll learn
- Build retrieval-augmented generation (RAG) apps with vector databases
- Create tool-using agents that call APIs and run multi-step workflows
- Evaluate, guard and monitor LLM outputs in production
- Fine-tune and optimise prompts, context and cost
- Ship a portfolio-ready AI product end to end
- Understand safety, privacy and responsible-AI practices
About this course
This hands-on programme takes you from understanding how large language models work to shipping reliable AI products. You will build retrieval-augmented generation systems, tool-calling agents, and evaluation harnesses, and learn how to deploy, monitor and cost-optimise them in production.
- LLMs
- RAG
- LangChain
- Agents
- OpenAI API
Syllabus overview
6 modules · 42 hrs total. Full lessons are delivered inside the Hyskilled app.
Tokens, context windows, model families and how to pick the right one.
Requirements
- Basic Python knowledge
- Comfort with REST APIs is helpful but not required
Who this is for
- Developers moving into AI engineering
- Data professionals adding GenAI skills
- Founders building AI-powered products
Your instructor
AM
Aarav Mehta
Senior AI Engineer
- 18,400 learners
- 2 courses
Aarav has spent a decade shipping machine-learning products and now focuses on LLM-powered applications. He teaches with a build-first, production-minded approach.
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