Building Custom GPT Models Without Coding

Core Skills
This course is designed for those looking to create customized AI solutions by leveraging pre-trained GPT models for domain-specific queries. 

Building Custom GPT Models Without Coding

Core Skills
This course is designed for those looking to create customized AI solutions by leveraging pre-trained GPT models for domain-specific queries. 

prerequisites

No prior knowledge 
necessary

All levels welcome

duration

Full day or
two half-days

Virtual or in-person

certification

afterskills GPT
practitioner

Awarded upon completion

course description_

In this course participants will learn how to integrate proprietary data into commercial LLMs (like ChatGPT or Claude) using Retrieval Augmented Generation (RAG) techniques, enabling tailored AI outputs without the need for complex fine-tuning or coding experience.

Through hands-on exercises, participants will build pipelines that connect LLMs with structured & unstructured data stored in vector databases. By embedding & indexing their own data, they’ll create systems capable of delivering accurate, context-aware answers in real time.

agenda

Topic 1: Intro. LLMs & Retrieval Augmented Generation
Topic 2: Vector databases for Document Embedding
Topic 3: Connecting Your Custom Data with LLMs
Topic 4: Querying AI for Insights Using RAG
Topic 5: Deploying Real-time AI Solution Apps.
Topic 6: Building Agents(Prompts, Const. & Obj.)
ENQUIRE