Become a Certified
Generative AI & Agentic AI
Course In Pune
Professional
Master Data Science → Deep Learning → Generative AI → RAG → AI Agents → MLOps and build 11 real portfolio projects to become job-ready.
LIVE Training
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Placement Success
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800+ Hiring Partners
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Duration
12 Weeks (3 Months)
Eligibility
Freshers, Graduates, Working Professionals (Any Background)
Mode
Live Online Sessions + 2 Years LMS Access
WHY INTELLIBI?
11,000+ Students Placed
90–95% Placement Success Rate
Top 1% Industry Expert Mentors
Recognized by Silicon India for Excellence in Training
Program Overview
5 Major Tracks
Course Syllabus
Generative AI & Agentic Al Specialization
1️⃣ Data Science Foundations (Weeks 1–6)
- Python for Data Science
- Data Wrangling
- Exploratory Data Analysis
- Statistics & Probability
- Machine Learning Fundamentals
- ML Deployment (Flask/FastAPI)
Mini Capstone: House Price Predictor (Dockerized API)
2️⃣ Deep Learning & NLP with Transformers (Weeks 7–11)
- Neural Networks
- Tokenization, Vectorization
- RNN, LSTM, GRU
- Transformers (BERT, GPT)
- Fine-Tuning HuggingFace Models
Mini Capstone: Sentiment Classifier + REST API
3️⃣ Generative AI with APIs, Local LLMs & Prompt Engineering (Weeks 12–15)
- GANs, VAEs, Transformers
- OpenAI & HuggingFace APIs
- Local LLM Deployment (Ollama, Llama)
- Prompt Engineering Techniques
- Responsible AI & Safety
Mini Capstone: Customer Support Chatbot (API or Local LLM)
4️⃣ RAG & Agentic AI (Weeks 16–19)
- Vector DBs (FAISS, Pinecone, Weaviate)
- RAG Pipelines
- LangChain & CrewAI Agents
- Multi-Agent Collaboration
- Tool Usage + Memory Patterns
- Fine-Tuning (LoRA, QLoRA, RLHF)
5️⃣ Advanced Deployment, Multimodal GenAI & MLOps (Weeks 20–24)
- Docker + Kubernetes
- Deployment on AWS/GCP/Azure
- GenAI CI/CD with MLflow
- Monitoring & Agent Security
- CLIP, DALLE, Stable Diffusion
- Text-to-Image, Speech-to-Text
Module 1: Data Science Foundations (Weeks 1-6)
- Week 1: Intro to Data Science → lifecycle, tools (Jupyter, Git).
- Week 2: Python for DS → NumPy, Pandas, file handling.
- Week 3: Data Exploration & Viz - EDA, dashboards
- Week 4: Probability & Stats → distributions, hypothesis testing.
- Week 5: ML Basics → regression, classification, clustering.
- Week 6: Advanced ML + Deployment → ensembles, neural nets, Flask/Docker.
- Mini-Capstone 1: House Price Predictor (EDA + regression, Flask API, Dockerized).
Module 2: Deep Learning & NLP with Transformers
- Week 7: Neural Nets → perceptrons, activation, backprop.
- Week 8: NLP Basics → tokenization, embeddings, preprocessing.
- Week 9: Sequence Models → RNNs, LSTMs, sentiment analysis.
- Week 10: Transformers → attention, encoder-decoder, Hugging Face.
- Week 11: Fine-tuning Transformers → LORA/PEFT, task-specific NLP.
- Mini-Capstone 2: Sentiment Classifier (Fine-tune Transformer + deploy with FastAPI/Spaces).
Module 3: Generative Al with APIs, Local Deployment & Prompt Engineering
- Week 12: Intro to GenAI→ GANS, VAES, transformers, applications.
- Week 13a: API Integration - OpenAI, Hugging Face.
- Week 13b: Local Deployment → Ollama, vLLM, open-source models.
- Week 14: Prompt Engineering → zero/few-shot, CoT, evaluation
- Week 15: Responsible Al→ bias, fairness, hallucination reduction.
- Mini-Capstone 3: Customer Support Chatbot (API or local LLM + prompt library).
Module 4: RAG & AI Agents
- Week 16: Embeddings & Vector DBS → FAISS, Pinecone, semantic search.
- Week 17: RAG Pipelines → LangChain, hybrid RAG, knowledge graphs.
- Week 18: Agentic Al→ LangChain Agents, CrewAI, AutoGen, memory systems.
- Week 19: LLM Fine-Tuning → LORA, RLHF, evaluation methods
- Mini-Capstone 4: Enterprise RAG Assistant (LangChain + Vector DB + CrewAl agents).
Module 5: Advanced Deployment, Multimodal GenAI & MLOps
- Week 20: Cloud Deployment → Docker, Kubernetes, AWS/GCP.
- Week 21: GenAI MLOps + Security → CI/CD, MLflow, monitoring, agent security.
- Weeks 22-23: Multimodal GenAI→ CLIP, Stable Diffusion, text-image pipelines.
- Week 24: Final Capstone Prep→ choose project, deploy end-to-end.
- Mini-Capstone 5: Cloud-Deployed GenAI Service (CI/CD + monitoring).
Final Capstone
- RAG Assistant - Knowledge search + retrieval
- Multi-Agent Al Assistant - Workflow automation with agents
- Multimodal Search Engine - Text + image retrieval
- Workflow Automation Agent - Jira/Slack/CRM integration
- Healthcare Al Assistant - Summarize & assist with records
PLACEMENT SUPPORT (2.5 Months)
HR + Technical + Managerial Rounds
LinkedIn Optimization
Resume Building
1-on-1 Mock Interviews
CRM Access for Job Openings
Project-based final interviews
Dedicated Career Success Team
800+ Hiring Partners
CAREER PATHS YOU CAN TARGET
NLP Engineer
Prompt Engineer
RAG Engineer
LLM Engineer
GenAI Specialist
Agentic AI Engineer
AI Solutions Architect
Our Learners Got Assured Placement. So Can You!
Real stories. Real success.
Real students.
TESTIMONIAL
What Our Students Say About Our Courses
IntelliBI Innovation is great place for learning Data Engineering and Analytics tool. Instructor, Mentor and other faculty members are very helpful.
joined the data analyst class two months ago.It has been a very positive experience.
The sessions were easy to understand .
I gained good knowledge of SQL & power BI .
Overall I feel more confident . Thank u for support & guidence.
The sessions were easy to understand .
I gained good knowledge of SQL & power BI .
Overall I feel more confident . Thank u for support & guidence.
I joined the data analyst class two months ago.& It has been a very positive experience.
The sessions were well structured,easy to understand & focused on practical learning.
I gained good knowledge of SQL & power BI .
Overall I feel more confident &job-ready now. Great experience . Thank u for support & guidence.
The sessions were well structured,easy to understand & focused on practical learning.
I gained good knowledge of SQL & power BI .
Overall I feel more confident &job-ready now. Great experience . Thank u for support & guidence.
Amazing place to learn for beginners as industry required concepts are prioritised and taught along with live examples on the tool instead of concepts first and training next model which leaves room for confusion
its a awesome course for freshers and experience candidate ... Truely helpful.
About IntelliBI
Victory Talks
Before Training vs After Training
Live Learning Feedback
Python
FullStack AI (GenAI • Agentic AI • ML)
CERTIFICATIONS
Your Professional Certification
You will receive an official IntelliBI Course Completion Certificate after successfully completing all modules and projects.
This certificate validates your expertise in:
- Data Science
- Deep Learning
- Generative AI
- RAG
- Agentic AI
- MLOps
Our Champs – Alumni Success Stories
Meet our students who took Generative AI bootcamp, Agentic AI course, and advanced AI projects and got hired at top companies.
Start Your Application –
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Fill out the form to receive:
- Full Syllabus PDF
- Demo Class Access
- Career Counselling
- Fees & EMI Options
- Portfolio & Job Roadmap
Request A Callback
Frequently Asked Questions (FAQs)
No. The program starts from fundamentals
Yes—100% Live Instructor-Led Sessions
24 weeks (~6 months) including final capstone
Yes, globally recognized certification
Yes—mock interviews, resume building, LinkedIn, CRM jobs, mentorship
11 hands-on projects including RAG chatbot, cloud genAI service, transformers, multi-agent apps
NLP Engineer, Prompt Engineer, RAG Engineer, Agentic AI Engineer
Contact Us for Enrollment & Queries
- Phone: +91 74987 56891
- Email: info@intellibiinnovationstechnologies.in
- Address: Dange Chowk, Thergaon, Pimpri-Chinchwad, Pune