Generative AI Course in Jaipur

Course Overview

Build Practical, Job-Relevant Generative AI Skills

This program follows a structured path from fundamentals to practical implementation. Learners practise concepts through guided exercises, scenario-based assignments and project work while learning how to explain their approach clearly.

Skills You’ll Build

Prompt EngineeringLLMsRAGAI AutomationAPIsAgents BasicsResponsible AIProjects

Career Roadmap 2027

Generative AI: Your 2027 Learning Roadmap

Explore a six-stage path from foundational skills to tools, a practical portfolio project and interview preparation.

View the 2027 Roadmap

Generative AI Course Curriculum

01

Generative AI Foundations

How generative models differ from traditional ML, common model families and practical use cases.

02

Prompt Engineering

Context, constraints, examples, structured outputs, prompt templates and evaluation.

03

LLM Fundamentals

Tokens, context windows, embeddings, inference concepts and limitations such as hallucinations.

04

API-Based AI Applications

Calling model APIs, structured responses, validation and building small AI utilities.

05

RAG Fundamentals

Embeddings, chunking, retrieval, grounding and basic document-question-answering workflows.

06

AI Automation & Agents Basics

Tool use, workflow orchestration, task decomposition and safe automation patterns.

07

Responsible AI

Privacy, bias, reliability, security and human validation of generated outputs.

08

Generative AI Projects

Build practical assistants, knowledge tools or automation prototypes and document them.

Practical Projects

Guided mini project aligned to the course domain
Feature-based assignments and troubleshooting tasks
Real-world scenario project using professional workflow
Final portfolio/capstone project with documentation

Who Should Join?

Students and freshers building practical technology skills
College learners preparing for technical assessments and projects
Working professionals looking to upskill or change roles
Beginners who prefer structured, mentor-guided learning

Learn Before You Enrol

Generative AI for Data Analysts: Practical Uses Without Skipping the Fundamentals

How Data Analysts can use Generative AI for SQL, Python, documentation and analysis while keeping validation, privacy and core skills first.

Read Guide →

Frequently Asked Questions

Generative AI Course FAQs

Students, freshers, working professionals and beginners can enquire. The exact starting level depends on the course, and foundational support is included where relevant.

Yes. The learning path includes guided exercises, assignments and project work so learners can apply concepts instead of studying only theory.

Use the enquiry form or contact the counselling team because current fees, batch timing and learning mode can vary by intake.

GAGenerative AICourse Snapshot

Learn prompt engineering, LLM workflows, RAG concepts, AI automation and practical GenAI use cases.