Don't Just Use AI
Build Intelligent AI Systems
Transform your career with Advanced Generative AI training. Learn to build LLM applications, intelligent chatbots, RAG systems and autonomous AI agents through practical industry-oriented projects.
- Learn Python, LLMs and Prompt Engineering
- Build RAG Applications and AI Agents
- Hands-on Industry Projects
- Cloud AI Deployment and API Integration
- Career Guidance and Placement Assistance
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Why Learn Advanced Generative AI?
AI is transforming software development, customer service, analytics and business operations. Organizations need professionals who can build, integrate and deploy useful AI solutions.
Build AI Applications
Move beyond basic AI tools and learn how to develop intelligent applications using LLM APIs, Python and modern frameworks.
Automate Business Workflows
Build AI-powered workflows and agents that can handle repetitive tasks, retrieve information and interact with tools.
Expand Career Opportunities
Develop practical skills relevant to GenAI engineering, AI application development and intelligent automation roles.
Work With Business Data
Learn embeddings, vector databases and RAG to create applications that understand private company documents.
Deploy AI Solutions
Understand API integration, cloud deployment, containers and application delivery for real-world AI systems.
Develop Problem-Solving Skills
Learn to identify business problems and convert them into practical AI-powered solutions.
Build Real-World Generative AI Projects
Don't limit your learning to theory. Develop practical applications that demonstrate your technical capabilities.
AI Customer Support Chatbot
Develop an intelligent chatbot that understands user queries and provides relevant responses using an LLM API.
Chat With Your Documents
Build a document-based AI assistant that reads PDFs and answers questions using embeddings and vector databases.
Intelligent AI Research Agent
Create an agent that can plan tasks, use available tools, collect information and prepare structured results.
AI Business Report Generator
Generate meaningful summaries and reports from business information using AI-powered workflows.
AI Coding Assistant
Create an application that helps developers understand code, generate snippets and explain programming errors.
Multi-Agent Workflow
Build an application where multiple specialized agents collaborate to complete a business task.
Tools & Technologies You Will Explore
Understand the tools used to develop modern AI-powered applications.
Advanced Generative AI Training Curriculum
A structured learning path from programming fundamentals to building and deploying advanced AI applications.
01 Python Programming & Foundations
- Python basics, data types and control flow
- Functions, OOP and modules
- NumPy and Pandas fundamentals
- Working with APIs, JSON and files
- Git and GitHub basics
02 Machine Learning & Deep Learning Essentials
- Introduction to AI, ML and Deep Learning
- Supervised and unsupervised learning
- Neural network fundamentals
- Model evaluation and training concepts
03 Generative AI & Large Language Models
- Introduction to Generative AI
- LLM architecture and Transformers
- Tokens, embeddings and context windows
- Prompt Engineering techniques
- LLM API integration
04 Advanced Prompt Engineering & Fine-Tuning
- Zero-shot and few-shot prompting
- Structured outputs and function calling
- Fine-tuning concepts
- LoRA and QLoRA introduction
- Evaluation and safety guardrails
05 Retrieval Augmented Generation (RAG)
- RAG architecture and implementation
- Document loading and chunking
- Embeddings and semantic search
- Vector databases: ChromaDB and FAISS
- Building document-based AI assistants
06 LangChain & Agentic AI
- LangChain fundamentals and chains
- Tools and function calling
- LangGraph workflows
- AI agents and multi-agent concepts
- Memory and state management
07 AI Application Development & Deployment
- FastAPI and REST API development
- Building AI application interfaces
- Docker and containerization
- Cloud deployment fundamentals
- Monitoring and performance basics
08 Capstone Project & Industry Readiness
- End-to-end AI application development
- Project documentation and GitHub portfolio
- Testing and debugging
- Project presentation
- Interview preparation and career guidance
From Beginner to AI Application Developer
Build your skills step by step with guided learning and practical implementation.
Phase 1 – Programming Foundations
Understand Python, programming logic, data handling and API fundamentals.
Phase 2 – Generative AI Fundamentals
Explore LLMs, transformers, prompt engineering and AI API integration.
Phase 3 – RAG & Intelligent Applications
Develop document-based chatbots, embeddings, semantic search and knowledge assistants.
Phase 4 – Agentic AI Development
Learn to create tool-using agents and workflow automation using modern frameworks.
Phase 5 – Capstone & Career Preparation
Complete practical projects, prepare your portfolio and practice technical interviews.
Explore Career Paths in Generative AI
Practical GenAI skills can support career growth across software development, data engineering and AI application development. Actual eligibility depends on your experience and technical foundation.
Generative AI Developer
Develop LLM-powered applications, AI assistants and API-integrated solutions.
LLM / RAG Engineer
Build knowledge retrieval systems, vector search and document-based AI applications.
Agentic AI Developer
Design AI agents capable of using tools and completing multi-step workflows.
AI Solutions Engineer
Integrate AI services with business systems and cloud infrastructure.
AI Automation Developer
Create intelligent automation solutions for business operations.
AI Application Engineer
Build and maintain production-oriented applications powered by AI models.
Learn Skills. Build Projects. Prepare for Your Career.
Our focus is practical knowledge, mentoring and career-oriented training.
Expert Trainers
Learn with guidance from experienced trainers and practical explanations.
Live Project Training
Work on real-world project scenarios and build your development skills.
Placement Assistance
Get career guidance, interview preparation and placement assistance.
Personal Attention
Get doubt-solving support and guidance during your learning journey.
Flexible Batches
Choose weekday or weekend training and classroom or online learning.
5-Day Money-Back Guarantee
Review the course experience under CIIT's published five-day refund policy. Confirm applicable terms with the institute.
What Our Learners Say About CIIT
Experiences shared by learners from different CIIT training programs.
"One of the best institutes for students who want to start their IT career. Special thanks to the CIIT team for their continuous support and guidance."
Vaibhav Saykar
CIIT Learner"Learning at CIIT has been a truly rewarding experience. Trainers are knowledgeable, approachable and always ready to help with doubts."
Saurabh Lonkar
CIIT Learner"The learning experience was excellent. Practical training, mock interviews and one-to-one doubt-solving helped strengthen my skills."
Anil Kamble
CIIT LearnerReady to Build Your Future with Generative AI?
Start learning the technology behind intelligent applications and AI-powered automation.
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