Course – Generative AI Engineering
Building Generative AI Applications
3 Days / 24 hrs Intermediate Classroom / Live Virtual
Duration
3 Days / 24 hrs
Level
Intermediate
Format
Classroom / Live Virtual
Domain
Generative AI
Training Methodology
Learning by Doing
Every session in this program is built around hands-on execution, not passive slides — you leave having built something, not just watched a demo.
01
Explore
Hands-on labs from the start — real or sandboxed environments, not slide decks.
02
Experiment
Work against scenarios that mirror your actual stack.
03
Engage
Solve real business problems in every session, not toy examples.
04
Apply
Exercises tied to your team’s actual workflows.
Who This Is For
What You’ll Be Able to Do
- Understand how GenAI and LLMs actually work under the hood
- Design effective prompts, workflows, and application architectures
- Build LLM-powered apps using APIs, LangChain and LangGraph
- Evaluate, deploy, monitor and scale GenAI applications responsibly
Curriculum
Module 1
Understanding Generative AI
- Definitions, differences from traditional AI, tokenization
Module 2
Prompt Engineering
- Zero-shot, few-shot, Chain-of-Thought and Tree-of-Thoughts
Module 3
Building LLM-Based Applications
- Accessing LLMs via APIs, prompt templates, batch APIs
Module 4
Accelerating Development with LangChain
- LLM chains, structured output, RAG, function calling
Module 5
Evaluating Generative AI Applications
- Metrics, interpretation, advanced evaluation
Module 6
Deploying, Scaling & Monitoring
- Latency, privacy, deployment pipelines, monitoring setup
Module 7
Debugging and Testing
- Debugging strategies, testing methodologies, CI/CD
Module 8
Agentic AI with LangGraph
- Agentic patterns, multi-agent workflows, error handling
Module 9
Use Cases and Ethics
- Real-world applications, responsible use, case studies
Delivery Details
- Delivered as classroom or live virtual instructor-led — scheduled around your team
- Hands-on labs throughout — not slide-only theory
- Customisable depth and pacing based on participant experience level