AI Professional Program
Our flagship, capstone-driven program — four advanced courses combined into one certification-ready journey from AI foundations to production-grade agents. Gain hands-on experience.
Course Topics
This is a snapshot of what's covered. Contact us for the complete module-by-module curriculum, batch schedule, and pricing.
Skills covered
Contact Us for Pricing & Enrollment
Get the full module-by-module curriculum, upcoming batch schedule, and pricing from our training advisors.
Corporate / Group Training- Live + recorded sessions with lifetime access
- Hands-on labs & real projects
- Certificate of completion
- Mobile learning & downloadable resources
- Instructor Q&A & discussion forums
About this course
The AI Professional Program is Learner Galaxy's premium, flagship track — a single, structured journey that combines four of our most advanced courses into one certification-ready path. You'll start with core AI engineering and Machine Learning foundations, master modern vector search and RAG with Qdrant, build enterprise AI solutions on Microsoft Foundry and Azure AI, and finish by engineering production-grade, stateful agents with LangGraph. Each phase ships its own working capstone, and the program closes with a final, integrative capstone that brings retrieval, cloud AI services and agent orchestration together into one deployable system.
What you'll learn
- Build a solid foundation in AI engineering, LLMs and classical Machine Learning
- Master dense, sparse and hybrid vector search with Qdrant for production RAG
- Ship enterprise AI solutions on Microsoft Foundry, Azure OpenAI and Azure AI Search
- Engineer stateful, memory-driven, production-grade agents with LangGraph
- Work end-to-end across the modern AI stack: models, search, cloud and orchestration
- Complete four phase capstones plus one final integrative capstone project
- Graduate with a portfolio-ready, multi-project body of work
- Learn through a build-first, project-based curriculum — not slides
Program Roadmap
AI Engineering & ML Foundations
Prompting, RAG and context engineering, how LLMs work, AI agents and agentic frameworks, multimodal AI, core ML algorithms, deep learning and MLOps fundamentals.
Vector Search & RAG with Qdrant
Dense, sparse and hybrid vector search, HNSW internals and quantization, multi-tenant RAG, reranking and systematic retrieval evaluation.
AI Agents with LangGraph
Stateful graphs, typed state and memory, workflow patterns, multi-agent orchestration, observability and deployment of production agents.
Applied Azure AI with Microsoft Foundry
Deploying and evaluating models in Foundry, Azure AI Language, Speech and Vision, Document Intelligence, and enterprise RAG on Azure AI Search.
