Understand how LLMs work — pretraining, inference, context windows and transformers
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Agentic GenAIOnline class
Agentic GenAI Engineering for Enterprise
Learn, build and deploy enterprise-grade agentic AI systems that run in production.
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Go beyond demos — engineer reliable, production-ready GenAI agents enterprises can trust.
Agentic GenAI Engineering for Enterprise is a hands-on, 10-week program that takes you from the foundations of LLMs to building and deploying production-ready agentic AI systems. You'll master production prompt engineering, enterprise RAG with hybrid search and re-ranking, tool-calling agents, multi-agent orchestration with LangGraph, CrewAI and AutoGen, agent memory systems, evaluation and reliability, and real-world deployment to Docker, AWS and GCP — finishing with a capstone that deploys a production-ready enterprise agentic system.
What makes this course different
Every week pairs concepts with a hands-on build, so you learn agentic GenAI by shipping it — from your first LLM assistant to a deployed, monitored, production-grade enterprise agent.
Course by TekSpotEdu
Instructor
Highlights of the course
- Build LLM-powered assistants for the enterprise
- Design RAG knowledge systems with hybrid search and re-ranking
- Build tool-calling agents with ReAct reasoning loops
- Orchestrate multi-agent workflows with LangGraph, CrewAI and AutoGen
- Set up evaluation pipelines for reliability, faithfulness and cost
- Deploy production agent systems to Docker, AWS and GCP
- Ship a capstone: a production-ready enterprise agentic system
How this course helps
This course makes you an agentic GenAI engineer who can design, build, evaluate and deploy reliable AI systems for the enterprise — not just prototypes.
What you will learn
Engineer production-grade prompts with guardrails and structured outputs
Build enterprise RAG systems with vector databases and hybrid search
Design agentic systems with planning, tools and memory
Orchestrate and route multi-agent workflows with human-in-the-loop
Evaluate, deploy and monitor GenAI systems in production
Course content
Explore every course chapter
| Lessons | Duration |
|---|---|
Week 1-2Foundations of Generative AI and LLM Systems | 120 minutes |
Week 3Prompt Engineering for Production Systems | 120 minutes |
Week 4Retrieval Augmented Generation (RAG) | 120 minutes |
Week 5Agentic AI Systems | 120 minutes |
Week 6-7Agent Frameworks and Orchestration | 120 minutes |
Week 8Memory Systems for Agents | 120 minutes |
Week 9Evaluation and Reliability | 120 minutes |
Week 10Production AI Systems and Capstone | 120 minutes |