


Master the next generation of AI systems that think, reason, and act autonomously.
The Professional Certificate in Agentic AI equips learners with the skills to design, build, and deploy autonomous AI agents capable of reasoning, planning, and acting in dynamic environments.This comprehensive program blends the principles of AI, automation, and cognitive reasoning to help participants create systems that use tools, interact with APIs, and make independent decisions. Ideal for developers, innovators, and professionals aiming to harness AI automation for real-world impact.
Comprehensive Agentic AI foundation with 6 modules + 4 enterprise agent projects
Advanced multi-agent systems, production orchestration, enterprise deployment
AI Agent Architect career acceleration pipeline
6 core modules + 4 production Agentic AI projects across 6 months.
Six foundational courses for enterprise Agentic AI expertise.
Fundamental principles of agent-based systems—autonomy, perception, reasoning, action. Evolution from rule-based to learning-driven intelligent systems.
Agents learn through environment interaction. RL algorithms, reward functions, policy optimization for intelligent decision-making.
Dynamics of interacting agents. Cooperation, competition, negotiation, emergent behavior in distributed environments.
BDI, hybrid cognitive models, neural-symbolic approaches. Reasoning, planning, emotions embedded in intelligent agents.
LLMs as foundation for modern agents. Reasoning, planning, tool use via prompt chaining, memory, API integration.
Ethical/safety considerations for autonomous agents. Alignment, transparency, accountability frameworks for responsible deployment.
4 enterprise-grade projects for Agent Architect portfolio.
Production multi-agent orchestration with LangGraph, tool calling, long-term memory, human-in-the-loop governance.
Production AutoGPT with persistent memory, tool integration, error recovery, enterprise workflow automation.
Production ReAct agent with reasoning traces, tool selection, self-correction, enterprise decision automation.
Enterprise LangChain agents with vector stores, RAG integration, multi-step reasoning, production monitoring.
Master autonomous reasoning systems, multi-agent orchestration, and enterprise AI autonomy.
Agent design, reasoning, multi-agent systems, LLM-powered autonomy.
Live sessions, production agent labs, architect mentorship.
Deployed CrewAI platforms, AutoGPT automation, LangGraph orchestration.
Agent Architect placement pipeline and leadership preparation.
200+
Global Companies
$122K PA
Average CTC
$250K PA
Highest CTC
87%
Average Salary Hike

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.
Enterprise Agentic AI benefits from joining this professional program.
Test your skills and mettle with a capstone project.
Analyze historical election data to predict election outcomes and understand factors influencing voter behavior.
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Techniques used: Topic Modeling using Latent Dirichlet Allocation, K-Means & Hierarchical Clustering
Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Techniques used: Market Basket Analysis, Brand Loyalty Analysis
Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis
Leading companies that value data skills.







