POST GRADUATE PROGRAM IN AGENTIC AI
- 12 Months Executive PGP Program (21 months total)
- 9 modules + 7 enterprise-grade agentic projects
- Live enterprise CrewAI labs: LangGraph, AutoGen, production orchestration
- Advanced reasoning: Tree-of-Thoughts, self-reflection, meta-learning
- Agent Architect mentorship from OpenAI Platform certified leaders
- Agentic leadership placement pipeline
- Multi-agent governance, production frameworks, enterprise autonomy
- Boardroom-ready AI agent strategy deliverables
Post Graduate Program in Agentic AI
Advance your expertise in building autonomous, reasoning-driven AI systems that plan, act, and collaborate.
The Post Graduate Program in Agentic AI is acomprehensive advanced program designed for professionals who want to lead the evolution of autonomous AI systems. It focuses on developing multi-agent architectures, integrating reasoning and planning, and deploying large-scale intelligent agents capable of tool use, collaboration, and adaptive decision-making in enterprise environments.
Regular Program
12 MonthsComprehensive PGP curriculum with 9 modules + 7 enterprise agent projects across all Agentic AI domains
Specialization
3 MonthsAdvanced multi-agent orchestration, production frameworks, enterprise governance
Placement Activity
6 MonthsExecutive career acceleration for Agent Architect leadership roles
PGP Curriculum
9 modules + 7 enterprise projects across 12 months of executive Agentic AI training.
Module 1: Agentic Foundations
Core principles of autonomous agents and multi-agent coordination.
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.
Module 2: Advanced Agent Systems
Cognitive architectures, LLM-powered autonomy, and responsible AI governance.
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.
Module 3: Enterprise Agentic AI
Production frameworks, industry applications, and enterprise deployment strategies.
AutoGPT, LangChain, CrewAI orchestration. Multi-agent workflows, memory management, real-time reasoning for enterprise automation.
Advanced planning algorithms, dynamic goal management, context-driven tool-use for adaptive decision-making.
Enterprise customer service, research automation, algorithmic trading, creative collaboration integration pipelines.
Enterprise Capstone Projects
7 executive-grade projects for Agent Architect portfolio.
Enterprise CrewAI Multi-Agent Platform
Production multi-agent orchestration with LangGraph, tool calling, long-term memory, human-in-the-loop governance.
AutoGPT Enterprise Automation Suite
Production AutoGPT with persistent memory, tool integration, error recovery, enterprise workflow automation.
ReAct Reasoning Agent Enterprise Framework
Production ReAct agent with reasoning traces, tool selection, self-correction, enterprise decision automation.
LangChain Agent Production Pipeline
Enterprise LangChain agents with vector stores, RAG integration, multi-step reasoning, production monitoring.
Enterprise AI Agent Governance Platform
Production agent safety layers, audit trails, compliance frameworks, observability, rollback systems.
Autonomous Research Assistant System
Production research agent with literature synthesis, hypothesis generation, experiment planning automation.
Final PGP Capstone: Agentic AI CISO Strategy
Enterprise agentic governance program with multi-agent architecture, compliance roadmap, C-level deliverables.
The Agentic AI Landscape
Master autonomous reasoning systems, multi-agent orchestration, and enterprise AI autonomy at executive level.
Comprehensive Curriculum
9 modules across agent foundations, architectures, enterprise applications.
Advanced Reasoning
Master planning, decision intelligence, adaptive learning systems.
Multi-Agent Systems
Enterprise CrewAI, LangGraph, AutoGen orchestration mastery.
7 Enterprise Projects
Production agent platforms, governance systems, C-level deliverables.
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.
Executive PGP Highlights
Leadership benefits from the Agentic AI PGP program.
Executive PGP Program
- 12-Month leadership Agentic AI curriculum
- Live enterprise CrewAI deployment labs
- Multi-agent CISO mentorship
Enterprise Agentic Stack
- CrewAI, LangGraph, AutoGen, ReAct Pro coverage
- Production agent orchestration frameworks
- Enterprise autonomy case studies
Executive Agentic Mentorship
- OpenAI Platform certified instructors
- 1:1 AI leadership coaching
- Executive agentic mock interviews
Agentic Leadership Outcomes
- Multi-Agent Platform Architect preparation
- Enterprise AI portfolio development
- Executive agentic placement pipeline
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.
