Success Root Technologies · Career program
AI Engineering & LLM Applications
Build production-ready AI applications with Python, prompt engineering, RAG, vector databases, evaluation, and responsible AI practices.
AI-enabled curriculum
AI tools included in this course
Learn the core subject and use current AI assistants responsibly for faster analysis, creation, debugging, automation, and decision-making.
01OpenAI API02Python03LangChain04LlamaIndex05pgvector
What you will learn
A current, project-led curriculum
Move from clear foundations to complete implementation through guided labs, reviews, and a portfolio-ready capstone.
- 01Python foundations for AI engineering
- 02Prompt engineering and structured outputs
- 03Embeddings, vector databases, and semantic search
- 04Retrieval-augmented generation systems
- 05LLM evaluation, observability, and guardrails
- 06Production AI application capstone
Career outcomes
Skills you can demonstrate
Design and build complete LLM-powered applications
Create reliable RAG pipelines using private data
Evaluate model quality, cost, safety, and latency
Deploy an AI portfolio project for interviews
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