IITM Pravartak Professional Certificate Programme in Agentic AI and Applications Curriculum
- IITM Pravartak Professional Certificate Programme in Agentic AI and Applications at a Glance
- How is the Professional Certificate Programme in Agentic AI and Applications Curriculum Structured?
- What Does the Professional Certificate Programme in Agentic AI and Applications Curriculum Cover?
- What do the two Agentic AI specializations cover?
- How Does the Programme Support Applied Agentic AI Learning?
- Who is This Agentic AI Curriculum Relevant for?
- Is the Professional Certificate Programme in Agentic AI and Applications Curriculum Right for You?
| Synopsis:
The IITMÂ Pravartak Professional Certificate Programme in Agentic AI and Applications curriculum builds Agentic AI capability from Python, Generative AI, and RAG foundations to agent design, deployment, governance, and enterprise workflows. Participants complete a common core before choosing a technical or enterprise-focused specialization |
The IITMÂ Pravartak Professional Certificate Programme in Agentic AI and Applications curriculum covers data science, business analytics, machine learning, Generative AI, and Agentic AI. It progresses from foundational concepts such as data visualization, forecasting, and model evaluation to enterprise AI applications, industry use cases, governance, and responsible adoption. This article provides a detailed overview of the curriculum structure, live masterclasses, mini projects, and Strategy & Integration Capstone.
IITM Pravartak Professional Certificate Programme in Agentic AI and Applications at a Glance
| Duration | 5-month core + 6-week specialization |
| Format | Online + live online |
| Ideal for |
|
| Key curriculum focus |
|
| Applied features |
|
| Credentials | Two IITM Pravartak certificates and three IBM certificates upon successful completion |
How is the Professional Certificate Programme in Agentic AI and Applications Curriculum Structured?
The Professional Certificate Programme in Agentic AI and Applications progresses from AI fundamentals to working Agentic AI systems, then to specialization-level application.
- Programming and AI foundations: Participants begin with Python, APIs, data handling, AI-assisted development, Machine Learning, deep learning, foundation models, and Generative AI
- LLMs and retrieval systems: This Agentic AI course syllabus then goes on to cover transformers, tokens, embeddings, prompt engineering, vector search, and retrieval-augmented generation (RAG)
- Agentic AI systems: Participants then examine how agents plan, reason, use memory and tools, collaborate in multi-agent systems, and interact with external systems through Model Context Protocol (MCP).
- Reliability and deployment: Later modules cover evaluation, guardrails, governance, security, APIs, monitoring, deployment, performance, and cost considerations.
- Specialization pathway: After completing the 5-month core, participants choose a 6-week specialization aligned with their goals: Advanced Agentic AI Engineering for deeper technical development, or Agentic AI Strategy and Enterprise Workflows for business workflow design, automation, governance, and adoption
“The IIMK Professional Certificate Programme in Agentic AI and Applications provided a well-structured curriculum that balanced theory with practical application. The hands-on projects and exposure to real-world use cases helped me strengthen my understanding of agentic workflows and AI integration. I particularly appreciated the clarity of instruction and the support provided throughout the training.”
— Chhotu Pawar, Manager
What Does the Professional Certificate Programme in Agentic AI and Applications Curriculum Cover?
The curriculum covers the technical and business capabilities needed to design, build, and evaluate Agentic AI systems, while examining applications of Agentic AI across enterprise workflows. Key areas include Python and Generative AI, LLMs and RAG, agent design, multi-agent systems, deployment, governance, and enterprise applications.
Python, Generative AI, and LLM foundations
The early modules establish the programming and AI concepts required before participants move into agentic systems.
- Python and application development: Covers Python fundamentals, APIs, Pandas, files, data handling, and AI-assisted coding
- AI foundations: Introduces Machine Learning, deep learning, foundation models, Generative AI, and modern AI architectures
- Large language models: Explores transformers, tokens, embeddings, context windows, model selection, tool calling, and cost-performance considerations
- Prompt engineering: Covers zero-shot, one-shot, and few-shot prompting, system prompts, reusable templates, and prompt testing
For a broader explanation of this learning pathway, explore how an Agentic AI course develops practical AI capabilities.
Embeddings, vector search, and RAG
This AI course syllabus also covers how AI applications retrieve and use external information to support more context-aware agent workflows.
- Embeddings and search: Covers semantic similarity, vector databases, FAISS, hybrid search, reranking, and metadata filtering
- Retrieval-augmented generation: Explores document loading, chunking, embeddings pipelines, retrieval, and grounded response generation
- Enterprise retrieval: Examines how search and RAG can connect language models with relevant organizational information
Agent design, reasoning, and Multi-Agent systems
The Professional Certificate Programme in Agentic AI and Applications examines how autonomous AI agents can plan, use tools, retain context, and coordinate across multi-step tasks.
- Agent architecture: Covers agent lifecycles, planning, reasoning, tools, LangGraph, state, and human-in-the-loop design
- Multi-agent systems: Explores supervisor and planner-worker patterns, collaboration, delegation, communication, and agent orchestration
- Reasoning: Introduces ReAct, reflection, self-correction, and other planning approaches
- Memory and context: Covers short-term and long-term memory, context engineering, MCP, and external tool integration
Evaluation, governance, and deployment
The later core modules focus on preparing Agentic AI systems for reliable deployment and operational use.
- Evaluation and reliability: Covers metrics, hallucination detection, tracing, feedback, guardrails, and quality assurance
- Governance and security: Examines responsible AI, privacy, prompt injection, data leakage, compliance, and risk
- Deployment: Covers FastAPI, APIs, logging, monitoring, Docker, performance optimization, and cost management
- Business application: Explores deployment choices, industry case studies, ROI, and lessons from real-world implementations
What do the two Agentic AI specializations cover?
After completing the core, participants choose one 6-week pathway focused on either advanced technical capabilities or enterprise applications.
- Advanced Agentic AI Engineering: Covers advanced agent frameworks, RAG, fine-tuning, deployment, orchestration, security, and reliability, ending with a multi-agent and RAG capstone
- Agentic AI Strategy and Enterprise Workflows: Covers workflow design, no-code automation, enterprise platforms, governance, ROI, and adoption, including applications in customer support, before an enterprise agentic workflow capstone
How Does the Programme Support Applied Agentic AI Learning?
Applied learning includes hands-on builds, live expert-led sessions, and two capstone projects.
- Hands-on projects: Participants complete practical builds involving prompts, tool-using agents, embeddings, document search, and multi-agent workflows
- Tool-based learning: Live sessions include hands-on walkthroughs of Agentic AI tools, frameworks, and real-world applications
- Core capstone: Combines prompting, RAG, agent frameworks, and tools in a functional AI agent
- Specialization capstone: Applies either advanced engineering concepts or enterprise workflow design in a pathway-specific final project
Explore how IITM Pravartak’s Agentic AI course approaches AI agents and applications before assessing programme fit.
Who is This Agentic AI Curriculum Relevant for?
The programme is designed for graduates (10+2+3) and diploma holders with at least five years of work experience. Basic maths and programming knowledge are preferred.
- Technology professionals: Engineers, developers, AI/ML professionals, data engineers, and technical product professionals building and deploying Agentic AI systems
- Digital and business professionals: Product, analytics, IT, strategy, and consulting professionals applying Agentic AI workflows and automation
- Business and transformation leaders: Leaders identifying use cases, evaluating AI solutions, and enabling Agentic AI adoption
The programme is beginner-friendly, with Python introduced early, while the two specialization tracks provide additional depth for different professional goals.
Is the Professional Certificate Programme in Agentic AI and Applications Curriculum Right for You?
The Professional Certificate Programme in Agentic AI and Applications combines a common Agentic AI core with technical and enterprise-focused specialization pathways. Professionals can assess the curriculum against their role, technical background, and intended application of Agentic AI before choosing a pathway.
To assess which pathway better matches your goals, explore the Professional Certificate Programme in Agentic AI and Applications by IITM Pravartak.
Emeritus Online Courses
Emeritus India
Emeritus SG
