Course Highlights
- Generative AI & Agentic AI programme designed to build real-world, production-ready AI systems from scratch
- Structured learning path segmented into progressive levels covering foundations, LLMs, agents, and deployment
- Hands-on experience with LLMs, RAG, multi-agent systems, and prompt engineering using industry tools
- Practical training on CrewAI, LangChain, n8n, fine-tuning, and LLMOps for scalable AI solutions
- Domain-based capstone projects that simulate real enterprise GenAI use cases
- Strong job-readiness focus with interview prep and portfolio building
-
Skill Type
-
Course Duration
-
Domain
-
GOI Incentive applicable
-
Course Category
-
Nasscom Assessment
-
Placement Assistance
-
Certificate Earned
-
Badge Earned
-
Content Alignment Type
-
NOS Details
-
Mode of Delivery
Course Details
What will you learn in the Advanced Certification in Generative AI and Agentic AI Course?
Students will gain the ability to understand core Machine Learning and NLP concepts, work with Large Language Models, build Retrieval-Augmented Generation (RAG) systems, design and orchestrate multi-agent AI workflows, fine-tune models using PEFT/LoRA techniques, apply prompt engineering best practices, deploy, monitor, and govern production-ready Generative AI solutions effectively.
Why should you take the Advanced Certification in Generative AI and Agentic AI Course?
- Learning outcomes that convert into practical skills for GenAI roles (LLM Engineer, Agent Developer, AI Product Manager)
- Hands-on mastery of end-to-end GenAI workflows data, retrieval, model tuning, agents and deployment
- Build domain-specific RAG systems and capstone projects that you can showcase to employers/clients
- Learn tooling used in production (LangChain, CrewAI, Phidata, Docker, cloud LLMs) so you can ship solutions quickly
- Gain expertise in safe, cost-efficient deployment and LLMOps practices to reduce production risks
- Strong job-readiness support: mock interviews, portfolio feedback and project mentoring
Who should take the Advanced Certification in Generative AI and Agentic AI Course?
- Senior Software Engineers, Tech Leads, Architects, Project Managers, Delivery Heads, Data Science, Analytics, AI Professionals, Product Managers and Business Leaders
- Experienced professionals looking to enhance their skills in Generative AI and Agentic AI
- Final-year engineering students or recent graduates with a background in coding, computer science, or related technical fields
Curriculum
- Course overview: A practical, project-centric curriculum segmented into progressive levels to take you from foundations to production and agentic systems
- Level 1 - Foundations & Tooling: Python for ML, ML/NLP fundamentals, tokenization, transformers basics, model inference, prompt engineering fundamentals
- Level 2 - LLMs, RAG & Fine-tuning: Transformer internals, Hugging Face Transformers, retrieval systems (dense vs sparse), building RAG with LangChain/LlamaIndex, supervised fine-tuning, LoRA/PEFT & QLoRA workflows, evaluation metrics and hallucination mitigation
- Level 3 - Multi-agent Systems & Production: Multi-agent design patterns, orchestration with CrewAI / n8n, tool creation & secure agent tooling, LLMOps (Docker, monitoring, cost management), cloud LLMs vs on-prem considerations, deployment patterns (APIs, serverless, container orchestration), governance, privacy and safety
- Capstone & Job Readiness: Domain capstone (end-to-end build + demo), portfolio preparation, mock interview
Tools you will learn in the Advanced Certification in Generative AI and Agentic AI Course
- Modelling & Libraries: Python, Hugging Face Transformers, PEFT/LoRA, QLoRA
- Retrieval: LangChain / LlamaIndex
- Orchestration & Agents: CrewAI, n8n, LangChain agents, custom tool integrations
- Deployment & LLMOps: Docker, FastAPI, monitoring & observability, cost optimisation, AWS/Azure/GCP LLM services
- Evaluation & Safety: Automated evaluation suites, basic data governance practices