PROFESSIONAL CERTIFICATE IN GENERATIVE AI
- Industry-recognized Professional Certificate in Generative AI
- Hands-on training with OpenAI, Hugging Face, Stable Diffusion
- 6 modules + 4 production-grade GenAI projects
- Live deployment labs: RAG, multimodal, AI agents
- LLM fine-tuning, prompt engineering, diffusion mastery
- Mentorship from production AI engineers
- GenAI Architect placement pipeline
- LangChain, Pinecone, CrewAI production systems
Professional Certificate in Generative AI
Learn to build intelligent systems, AI models, and creative tools powered by Generative Artificial Intelligence.
The Professional Certificate in Generative AI is an industry-recognized program crafted to help learners build a solid foundation in artificial intelligence, large language models, andcreative AI systems. The comprehensive curriculum blends conceptual understanding with practical skills through real-world AI projects. Participants will explore how machines generate text, images, and ideas, preparing them for emerging roles in AI-driven industries.
Regular Program
6 MonthsComprehensive GenAI foundation with 6 modules + 4 enterprise projects across LLMs, diffusion, GANs
Specialization
3 MonthsAdvanced RAG, multimodal AI, AI agents, production GenAI mastery
Placement Activity
6 MonthsAI Engineer and Prompt Architect career acceleration pipeline
Program Curriculum
6 core modules + 4 production GenAI projects across 6 months.
Core Modules
Six foundational courses for enterprise GenAI expertise.
Evolution, scope, search algorithms, logical reasoning, learning paradigms for intelligent systems.
Supervised/unsupervised/reinforcement learning, feature extraction, neural architectures for modern AI.
Probabilistic modeling, autoencoders, transformer frameworks for text/image/multimodal generation.
VAEs, GANs, Diffusion Models for realistic text, art, design generation systems.
GPT/Gemini architecture, fine-tuning, in-context learning, ethical prompt engineering strategies.
Fairness, transparency, bias mitigation, global AI standards for responsible deployment.
Production GenAI Projects
4 enterprise-grade projects for GenAI Architect portfolio.
Enterprise RAG Chatbot Pipeline
Production LLM + Pinecone vector DB with LangChain RAG for enterprise knowledge retrieval.
Stable Diffusion Image Generator
Custom fine-tuned diffusion model with LoRA, ControlNet, and production API deployment.
Multimodal AI Content Platform
GPT-4V + LLaVA vision-language model for text-to-image-to-video content automation.
AI Agent Automation Suite
CrewAI multi-agent system with tool calling, memory, and human-in-the-loop orchestration.
The Generative AI Landscape
Designed to launch your career as GenAI Architect in enterprise AI systems.
Comprehensive Curriculum
LLM mastery, multimodal generation, RAG systems, AI agents.
140+ Learning Hours
Live sessions, production AI labs, architect mentorship.
10+ Production Projects
Deployed RAG chatbots, diffusion models, multimodal platforms.
95% Placement Success
AI Developer → GenAI Architect career acceleration.
Alumni Highlights
200+
Global Companies
$122K PA
Average CTC
$250K PA
Highest CTC
87%
Average Salary Hike
Benefits
Learn from leading academicians and several experienced industry practitioners from top organizations.
Personalised workshops based on your proficiency level to help you get on par.
Mix of Live Classes & Recorded lectures for your convenience.
24×7 Student Support, Quick doubt resolution by industry experts.
Program Highlights
Enterprise GenAI benefits from joining this professional program.
Production GenAI Program
- 6-Month accelerated GenAI training
- Live RAG/multimodal deployment labs
- OpenAI/HuggingFace API certification prep
Enterprise AI Stack
- LangChain, Pinecone, Stable Diffusion
- CrewAI agents, multimodal pipelines
- Production RAG architecture
GenAI Architect Mentorship
- Production AI Engineer instruction
- 1:1 project guidance
- Live debugging sessions
AI Leadership Pipeline
- Production GenAI portfolio
- Prompt Architect prep
- AI Engineer placement support
Capstone Projects
Test your skills and mettle with a capstone project.
Election Outcome Prediction
Analyze historical election data to predict election outcomes and understand factors influencing voter behavior.
E-commerce
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Web & Social Media
Techniques used: Topic Modeling using Latent Dirichlet Allocation, K-Means & Hierarchical Clustering
Banking
Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART
Supply Chain
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Healthcare
Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Retail
Techniques used: Market Basket Analysis, Brand Loyalty Analysis
Insurance
Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis
Our Learners Work At
Leading companies that value data skills.
