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Informatics Institute of Technology
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2026 Intake Open New Batch

Professional Certificate in Generative AI

Quick Info

Duration

4 Days

Mode

online

Commencement

2026-05-01

Time / Slot

Fri, 6:30 PM – 9:30 PM

Starts In

Remaining Time

Program Overview

This course provides a comprehensive introduction to Generative AI, focusing on Large Language Models (LLMs), Multimodal AI, and practical applications such as chatbots and AI agents. Participants gain hands-on experience in prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent development using LangChain, while understanding ethical considerations and real-world applications.

Who this is for

  • AI enthusiasts and beginners starting with Generative AI
  • Developers, data scientists, and engineers applying LLMs
  • Professionals and academics deepening AI knowledge
  • Students exploring AI-driven application development

How to apply

workshops@iit.ac.lk

Next / Start

2026-05-01

Time

Fri, 6:30 PM – 9:30 PM

Week 1: Introduction to Generative AI, LLMs, and Multimodal AI

  • Overview of Generative AI
  • Understanding Large Language Models (LLMs) and Transformer architecture
  • Introduction to Multimodal AI
  • Real-world applications and use cases
  • Ethical considerations in Generative AI

Week 2: Working with LLMs and Prompt Engineering

  • Basics of using Large Language Models
  • Hands-on session: interacting with LLMs
  • Prompt engineering techniques
  • Designing effective prompts for various tasks
  • Common challenges and troubleshooting in prompt engineering

Week 3: Building Chatbots with Your Own Data via Retrieval-Augmented Generation (RAG)

  • Optimizing LLM responses
  • Introduction to Retrieval-Augmented Generation (RAG)
  • Case studies of RAG implementations
  • Hands-on session: building a simple RAG application
  • Performance optimization techniques

Week 4: Building an AI Agent with LangChain

  • Overview of the LangChain framework
  • Case studies of AI agent applications
  • Step-by-step guide to building an AI agent
  • Hands-on session: developing an AI agent with LangChain
  • Future trends and advanced features in AI agents
Program Overview

This course provides a comprehensive introduction to Generative AI, focusing on Large Language Models (LLMs), Multimodal AI, and practical applications such as chatbots and AI agents. Participants gain hands-on experience in prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent development using LangChain, while understanding ethical considerations and real-world applications.

Who this is for

  • AI enthusiasts and beginners starting with Generative AI
  • Developers, data scientists, and engineers applying LLMs
  • Professionals and academics deepening AI knowledge
  • Students exploring AI-driven application development

How to apply

workshops@iit.ac.lk

+94 71 333 4455

Next Start

2026-05-01

Time

Fri, 6:30 PM – 9:30 PM

Week 1: Introduction to Generative AI, LLMs, and Multimodal AI

  • Overview of Generative AI
  • Understanding Large Language Models (LLMs) and Transformer architecture
  • Introduction to Multimodal AI
  • Real-world applications and use cases
  • Ethical considerations in Generative AI

Week 2: Working with LLMs and Prompt Engineering

  • Basics of using Large Language Models
  • Hands-on session: interacting with LLMs
  • Prompt engineering techniques
  • Designing effective prompts for various tasks
  • Common challenges and troubleshooting in prompt engineering

Week 3: Building Chatbots with Your Own Data via Retrieval-Augmented Generation (RAG)

  • Optimizing LLM responses
  • Introduction to Retrieval-Augmented Generation (RAG)
  • Case studies of RAG implementations
  • Hands-on session: building a simple RAG application
  • Performance optimization techniques

Week 4: Building an AI Agent with LangChain

  • Overview of the LangChain framework
  • Case studies of AI agent applications
  • Step-by-step guide to building an AI agent
  • Hands-on session: developing an AI agent with LangChain
  • Future trends and advanced features in AI agents
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Focused on real-world challenges in business, tech, and digital transformation

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077 056 6577

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