AI Developer Course with GenAI
Learn to build AI-powered applications using Python, OpenAI, LangChain, FastAPI, and RAG pipelines. This AI programming course is built for developers—no ML background required. Master Agentic AI, secure tool calling with MCP, and production deployment on AWS.
Join India’s most practical AI Developer course with Generative AI focus. 1:1 mentorship, real-world projects, certification, and job readiness support. Download syllabus or book a free expert call.
Top Reasons to Join Our AI Developer Course
Python + API Mastery
Master Python for AI development — from functions and data handling to REST APIs, FastAPI, and GenAI integrations.
GenAI Fundamentals
Grasp embeddings, attention, tokenization, and the architecture behind large language models used in real-world AI programming.
Prompt Engineering Skills
Learn prompt strategies like zero-shot, few-shot, chain-of-thought (CoT), and role prompting for better LLM responses.
Model API Ecosystem
Use GenAI APIs like OpenAI, Gemini, Cohere, and Mistral. Integrate them to build powerful AI apps using real dev workflows.
Build GenAI Web Apps
Deploy interactive GenAI apps using FastAPI, Gradio, Streamlit, or React — a must for every AI developer in production settings.
Retrieval-Augmented Generation (RAG)
Build RAG pipelines using LlamaIndex, FAISS, and ChromaDB. Combine document search with LLM responses for production use cases.
Multimodal GenAI
Work with text, image, and speech inputs using VLMs like Qwen-VL or LLaVA. Explore audio-chat, vision QA, and multimodal interfaces.
Agentic AI & Multi-Agent Apps
Build AI agents that plan, reason, and collaborate using CrewAI, LangGraph, and AutoGen. Apply to customer support or automation.
Mentorship & Capstone Projects
Get 1:1 mentorship while building capstone projects for your AI Developer portfolio. Launch to GitHub and prepare for job interviews.
Designed for backend engineers, app developers, and AI enthusiasts who want to build and deploy GenAI apps with Python, RAG, agents, and multimodal tools.
Top Skills You’ll Gain in Gen AI for Developers
Essential Tools You'll Master in This AI Developer Course
OpenAI API
LLM Access & Text Generation
Use GPT models via OpenAI’s API for chat, embeddings, and custom AI tasks. Integrate directly in your GenAI apps.
Gradio
UI for GenAI Prototypes
Quickly build and demo AI interfaces with minimal code. Perfect for deploying NLP, vision, or RAG tools.
LangChain
LLM Application Framework
Chain prompts, tools, and memory into powerful GenAI workflows using LangChain’s modular design.
LlamaIndex
Document RAG Framework
Enable advanced document search and retrieval with LlamaIndex. Connect LLMs to custom data sources like PDFs and websites.
Streamlit
Frontend for Python Apps
Build clean, interactive GenAI apps using only Python—no need for full-stack frameworks.
Prompt Engineering
Structured Prompting
Design better AI behavior using few-shot, zero-shot, and CoT prompts. Learn patterns for summarization, QA, and chat.
Multi-Agent Systems
Autonomous AI Agents
Use AutoGen, CrewAI, and LangGraph to build GenAI agents that collaborate, plan, and act independently.
MCP (Model Context Protocol)
Shared Memory & Tool Standard
Use MCP to manage memory, context, and tool sharing across multi-agent LLM systems at scale.
OpenAI API
LLM Access & Text Generation
Use GPT models via OpenAI’s API for chat, embeddings, and custom AI tasks. Integrate directly in your GenAI apps.
Gradio
UI for GenAI Prototypes
Quickly build and demo AI interfaces with minimal code. Perfect for deploying NLP, vision, or RAG tools.
LangChain
LLM Application Framework
Chain prompts, tools, and memory into powerful GenAI workflows using LangChain’s modular design.
LlamaIndex
Document RAG Framework
Enable advanced document search and retrieval with LlamaIndex. Connect LLMs to custom data sources like PDFs and websites.
Streamlit
Frontend for Python Apps
Build clean, interactive GenAI apps using only Python—no need for full-stack frameworks.
Prompt Engineering
Structured Prompting
Design better AI behavior using few-shot, zero-shot, and CoT prompts. Learn patterns for summarization, QA, and chat.
Multi-Agent Systems
Autonomous AI Agents
Use AutoGen, CrewAI, and LangGraph to build GenAI agents that collaborate, plan, and act independently.
MCP (Model Context Protocol)
Shared Memory & Tool Standard
Use MCP to manage memory, context, and tool sharing across multi-agent LLM systems at scale.
GenAI Developer Certificate
GenAI Developer Certificate
Upon completing the Gen AI for Developers Course, you’ll receive a certificate that proves your ability to build and deploy modern GenAI applications. From integrating LLMs and building RAG pipelines to deploying multimodal and Agentic AI systems, this certificate showcases your readinessfor real-world AI development roles.
Gen AI for Developers vs Free Bootcamps
LLM App Development
Multimodal GenAI
RAG Pipelines
Agentic AI & Multi-Agent Systems
Frontend Integration
Production Deployment
Certification & Job Support
Gen AI for Developers – Course Fees
What You’ll Get:
- Live mentorship by AI engineers and GenAI app builders.
- End-to-end projects with LLM APIs, RAG pipelines, multimodal tools, and agent frameworks.
- Resume & portfolio prep, mock interviews, and referral support.
- Lifetime access to all recordings, updates, and future GenAI tools.
What Our Learners Say
Real experiences from developers building future-ready GenAI apps
Other Gen AI Courses You Can Explore
Generative AI Specialization
Learn Generative AI from scratch. Covers LLMs, Fine-Tuning (LoRA, QLoRA), RAG, and Multimodal systems using OpenAI and open-source tools.
LLM Mastery Program
Deep-dive into transformer architecture, attention, Mixture of Experts, quantization, RLHF, model serving and deployment strategies.
Agentic AI Mastery
Master agentic AI. Build autonomous agents with LangGraph, AutoGen, CrewAI, and use Model Context Protocol (MCP) for real-world tasks.
Your Questions Answered – Gen AI Developer Course
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