Professional Certificate in Generative AI Workshop
Requirements:
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Description:
Course Outline
Week 1: Introduction to Generative AI, LLMs, and Multimodal AI
Duration: 4 Hours
● 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
Duration: 4 Hours
● 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)
Duration: 4 Hours
● Optimizing the responses of Large Language Models
● Introduction to Retrieval-Augmented Generation
● Case studies of RAG implementations
● Hands-on session: Building a simple RAG application
● Performance optimization techniques
Week 4: Building an AI Agent with LangChain
Duration: 4 Hours
● Overview of 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
Learning Outcomes
1. Gain a comprehensive understanding of Generative AI, LLMs, and Multimodal AI.
2. Acquire practical skills in working with LLMs and performing prompt engineering.
3. Learn how to build applications using Retrieval-Augmented Generation (RAG).
4. Develop the ability to create and deploy AI agents using the LangChain framework.
5. Understand ethical considerations and real-world applications of Generative AI.
To Whom?
AI enthusiasts and beginners looking to get started with Generative AI.
Developers, data scientists, and engineers interested in applying LLMs and advanced AI techniques in their work.
Professionals and academics seeking to deepen their knowledge of Generative AI technologies and their applications.
Method Of Delivery
Instructor-Led Classroom Training
How to Apply?
Please feel free to contact us for further details, IIT Professional Development Unit
0770566577 | pdu@iit.ac.lk
Address : 57, Ramakrishna Road, Colombo 06, Sri Lanka.
Phone : 766760760
Email : info@iit.ac.lk
Website : https://www.iit.ac.lk
Available:
Informatics Institute of Technology
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Stream: Computer Science & IT
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Level: Certificates & Trainings