Way into the Agentic AI; build Intelligent Systems that Act
Duration : 1 year Classes : 72 Days : Weekdays / Weekends
Stop reacting to data and start commanding your workflows. Agentic AI is the next frontier, moving beyond simple generative tasks to create autonomous, goal-driven systems that perceive, plan, act, and adapt with minimal human oversight. Agentic AI means AI systems that don`t just predict but act autonomously, plan, use tools, and pursue goals. These AI agents can perceive their environment, make decisions, and take actions to achieve their objectives. AAI's are important in various applications, including robotics, customer service, and personalized recommendations.
Our comprehensive Agentic AI Training Program equips you with the cutting-edge skills to design and deploy these intelligent agents using state-of-the-art frameworks like LangChain, CrewAI, and AutoGen. Learn to automate complex, multi-step tasks across finance, customer service, software development, and more. Future-proof your career or lead your organization to unprecedented levels of efficiency, accuracy, and competitive advantage. Enroll today to transform from passive observer to proactive innovator in the age of intelligent automation.
The program is structured in modules that build upon each other, starting with core concepts and progressing to advanced, real-world applications. The program combines foundational AI principles with practical application using modern frameworks and tools.
The Program equips you with the skills and expertise to design, build and deploy Autonomous AI Agents, opening up new career and commercial opportunities, balancing theoretical understanding with practical application, preparing students for real-world Agentic AI challenges.
Target Audience:-
- AI/ML engineers
- Data scientists
- Software developers building autonomous AI agents
- Researchers exploring multi-agent systems and LLM-based autonomy
By the end of this training, participants shall be able to:
- Design agentic architectures with memory, planning, and goal-setting
- Implement agents that interact with tools and environments
- Orchestrate multi-agent systems for complex tasks.
- Evaluate agentic behavior for safety, alignment, and robustness
- Understand the ethical and societal implications of autonomous AI
Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training
Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas
To get the maximum benefit from the training, we expect that candidates has :-
This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.
Module 1: Intro to Agentic AI
✔ Advanced Python Recap
✔ Embedding Models and Vector Basics
✔ ML Recap
✔ DL Recap
✔ NLP Recap
✔ Reinforcement Learning & Planning
✔ Multi Agent Systems
✔ Agentic Tools in Python
✔ OpenAI API
Module 2: Foundations of Agentic AI and LLM Architectures
✔ The Agentic Paradigm
✔ Advanced Prompt Engineering Mastery
✔ Tools, APIs, & Function Calling
✔ Memory & State Management
Module 3: Agent Frameworks and Core Workflows
✔ Introduction to LangChain & LCEL
✔ Agentic RAG Systems
✔ State Machines with LangGraph
✔ Structured Output & Validation
Module 4: Multi-Agent Systems and Collaboration
✔ CrewAI for Collaborative Teams
✔ AutoGen for Multi-Agent Conversation
✔ Orchestration and Communication
Module 5: Deployment, MLOps, and Governance
✔ Evaluation and Observability (AgentOps)
✔ Safety, Ethics, and Guardrails
✔ Deployment Strategies (Prototype to Prod)
Module 6: Capstone Project
✔ Build an agent that browses the web, retrieves info, and generates a report
✔ Build an agent with long-term memory using Pinecone/Chroma
✔ Simulate a team of AI agents, solving a startup problem
✔ Red-team an agent and patch vulnerabilities
Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.