Build real AI features with LLMs and prompt engineering

Integrate models safely into apps: prompts, RAG, tool calling, and deployment basics

without getting lost in pure theory.

4.8+(Course feedback)
1000+ students trained
  • Hands-on labs with popular model APIs
  • Prompt patterns you can reuse
  • RAG and app integration projects
  • Responsible AI and guardrails

Limited seats per cohort — we cap batches for live Q&A.

Contact us for upcoming cohort dates.

← All training programs

Reserve Your Seat Now

⚡ Limited Seats for Upcoming Batch

🔥 High Demand – Limited Seats Available

Contact us for program fee and payment options.

Contact us for next batch details


  • Live Instructor-Led Sessions
  • Real-World Industry Projects
  • Interview & Placement Guidance

✔ No spam • Free consultation • Quick response within 24 hrs

Course Overview

Learn to leverage Generative AI technologies including Large Language Models, prompt engineering, and building AI applications. Discover how to integrate AI into your projects, fine-tune models, and build intelligent applications that leverage the power of modern AI.

Prerequisites

  • Basic programming knowledge
  • Understanding of APIs
  • Familiarity with web technologies

Delivery Modes

Online

  • Live project walkthroughs
  • Hands-on labs with AI APIs
  • Recorded sessions for revision

Offline

  • Classroom labs with guided exercises
  • Group brainstorming and prototyping
  • On-site mentor support

Course Details

Duration
35 hours
Level
Intermediate
Format
Online & Offline

Learning Outcomes

  • Understand how LLMs work and their capabilities
  • Master prompt engineering for optimal results
  • Build AI-powered applications and chatbots
  • Implement responsible AI practices

Detailed Course Curriculum

A structured, real-world curriculum designed to build job-ready skills step by step.

Module 1: AI Foundations

6 hours
  • Generative AI concepts and terminology
  • LLM capabilities, limitations, and costs
  • AI safety and responsible usage

Module 2: Prompt Engineering

8 hours
  • Prompt patterns and best practices
  • Few-shot and chain-of-thought prompting
  • Evaluation and iteration workflows

Module 3: Building AI Apps

10 hours
  • API integration with popular models
  • Retrieval-augmented generation (RAG)
  • Tool calling and structured outputs

Module 4: Deployment & MLOps Basics

6 hours
  • Latency, cost, and caching strategies
  • Monitoring and safety guardrails
  • Deployment workflows

Module 5: Capstone Project

5 hours
  • AI assistant or chatbot build
  • Evaluation metrics and feedback loops
  • Presentation and demo day

Download full curriculum PDF

Includes real projects, interview questions, and step-by-step roadmap. Enter your details below to download the PDF.

Go to download

What You'll Learn

This comprehensive course covers all essential topics to make you proficient

1Introduction to Generative AI and LLMs
2Large Language Models (GPT, Claude, etc.)
3Prompt engineering techniques and strategies
4Fine-tuning and model customization
5Building AI-powered applications
6Ethics and responsible AI practices
7Integration with existing systems and APIs
8Future trends and emerging technologies

Course Benefits

Everything you need to learn effectively and stand out in real-world roles.

1Hands-on projects with real AI APIs
2Prompt engineering frameworks and templates
3Production-ready AI integration patterns
4Ethics and responsible AI guidance
5Portfolio projects for AI roles

Projects You'll Build

Hands-on projects designed to build a strong portfolio

1RAG-based knowledge assistant
2AI content summarizer with evaluation
3Prompt-driven automation workflow

Download Curriculum PDF

Get the full course curriculum, module breakdown, and learning outcomes in a downloadable PDF. Includes real projects, interview questions, and step-by-step roadmap.

Frequently Asked Questions

Ready to Start Your Learning Journey?

Join the upcoming batch before seats fill up

Limited seats available for upcoming batch