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Generative AI Development Program

Overview
Curriculum
  • 1 Section
  • 1 Lesson
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01. Introduction to Generative AI
1 Lesson

COHORT June 2026 is an intensive, industry-focused Generative AI Development Program designed to equip aspiring developers, innovators, entrepreneurs, and tech enthusiasts with cutting-edge skills in Artificial Intelligence and modern AI application development.
This cohort-based program provides a complete hands-on learning experience covering the fundamentals of AI, Large Language Models (LLMs), Prompt Engineering, AI Automation, AI-powered Web Applications, Intelligent Chatbots, AI APIs, Vector Databases, RAG Architectures, and real-world GenAI product deployment.
Participants will work on practical projects, live implementations, and production-ready AI systems while learning modern development workflows used by top AI startups and technology companies worldwide.
The program focuses on building real-world problem-solving capabilities through mentorship, collaborative learning, project-based assignments, and deployment-oriented training.
Key Learning Areas

Foundations of Generative AI

Prompt Engineering & AI Workflows

OpenAI & LLM Integrations

AI Chatbot Development

RAG (Retrieval Augmented Generation)

AI Agents & Automation Systems

Vector Databases & Embeddings

AI Web App Development

API Integration & Backend Systems

AI Product Deployment & Scaling

Real-world Industry Projects

Program Highlights

Cohort-Based Interactive Learning

Live Practical Sessions

Industry-Level Projects

Portfolio & Resume Building

AI Startup & Product Development Guidance

Collaboration & Community Access

Certificate of Completion

Ideal For

Students & Beginners

Developers & Programmers

Freelancers & Entrepreneurs

Startup Founders

Tech Enthusiasts

Professionals transitioning into AI

Outcome
By the end of the program, participants will be capable of designing, developing, and deploying modern Generative AI applications and intelligent automation systems aligned with current industry standards.

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