Build AI agents that plan, use tools and act.
A hands-on agentic AI program — build agents with OpenAI and Claude, orchestrate them with LangGraph and CrewAI, connect tools with MCP, and deploy production-ready multi-agent systems on AWS and Azure.
Python-based · talk to us about the next batch, schedule and fees
Frameworks, models and tools you’ll work with
From prompt to production agent.
12 modules. 60+ topics.
- Introduction to AI agents
- Agents vs workflows vs chatbots
- The agent loop — reason, act, observe
- Planning, memory and tool use
- Various frameworks for AI agents — when to use which
- Single-agent vs multi-agent designs
- Prompting for agents — system prompts and instructions
- Structured outputs and JSON schemas
- Function calling / tool use — how models call tools
- Context windows, tokens and memory strategies
- Choosing a model — capability, speed and cost
- OpenAI API setup and function calling
- OpenAI Agents SDK — agents, tools and handoffs
- Guardrails and input/output validation
- Tracing and debugging agent runs
- OpenAI Swarm — lightweight multi-agent patterns
- Anthropic API setup and the Messages API
- Tool use with Claude
- Building multi-step agents with Claude
- Prompt caching and cost control
- Claude with the Model Context Protocol (MCP)
- What MCP is and why it matters
- Using existing MCP servers
- Building your own MCP server
- Connecting MCP servers to agents
- Projects with MCP servers
- Why LangGraph — graphs for controllable agents
- State, nodes and edges
- Conditional routing and loops
- Memory and checkpointing
- Human-in-the-loop approvals
- Multi-agent systems with a supervisor
- CrewAI concepts — agents, roles, goals and backstories
- Tasks and crews
- Sequential and hierarchical processes
- Giving crews tools
- CrewAI Flows for production pipelines
- Memory and knowledge in CrewAI
- Microsoft AutoGen
- Google Agent Development Kit (ADK)
- Agno (formerly Phi Data)
- Comparing frameworks — trade-offs in practice
- Agentic RAG — agents that retrieve and reason
- Vector databases for agent memory
- Designing multi-agent collaboration
- Google A2A (Agent-to-Agent) protocol
- Coordination, delegation and failure handling
- Evaluating agents — task success, accuracy and cost
- Tracing with LangSmith
- Guardrails and safe tool use
- Handling errors, retries and timeouts
- Tips for cost optimization in LLM apps
- Serving agents behind an API
- Containerizing agents with Docker
- Deploying on AWS
- Deploying on Azure
- Monitoring agents in production
- End-to-end agentic application on AWS
- End-to-end agentic application on Azure
- Research assistant crew with CrewAI
- Customer-support agent with LangGraph and human approval
- Tool-using agent with Claude and MCP
- Portfolio and interview preparation
For developers ready to build with agents.
Related programs & services.
Abhishek Kumar Singh
Data Scientist · Consultant · Corporate Trainer
Abhishek teaches generative and agentic AI to professionals at leading organizations — breaking complex ideas into clear, practical steps and real projects you can take back to work.
Technology stack
Organizations trained
What learners say about our AI training.
I’ve had the privilege of learning from Abhishek, an exceptional GenAI tutor whose coaching has truly elevated my understanding of deep learning, generative AI models, and agentic AI. His ability to simplify complex concepts using relatable, real-life examples makes each session both enlightening and enjoyable. Whether he’s explaining attention mechanisms or the logic behind agentic workflows, Abhishek always breaks it down with clarity and patience

I had the pleasure of learning from Abhishek Kumar Singh during a GenAI Training, and his teaching style is truly commendable. He has a unique ability to simplify complex AI/ML concepts, making foundational topics in Generative AI—like transformer models, embeddings, and LLMs—accessible and engaging. Abhishek is not only technically sound but also patient and thorough in his explanations, ensuring every learner feels included and confident. His hands-on approach and real-world examples made the sessions highly practical. Whether you’re just starting with GenAI or looking to deepen your understanding, Abhishek is the mentor you need. Highly recommended!

I’ve had the pleasure of learning from Abhishek Kumar Singh (Abhi), and I can confidently say he’s an exceptional Gen AI tutor. Abhi’s patience is unmatched—he takes the time to answer every question thoroughly, no matter how basic or complex, and always ensures I truly understand the concepts. His deep knowledge of Data Science and Generative AI tools shines through in every session. Whether it's breaking down intricate algorithms or walking through the latest AI frameworks, Abhi explains everything with clarity and precision. What makes him stand out even more is his calm, respectful, and encouraging demeanor—it creates a learning environment where curiosity is welcomed and growth is inevitable. If you're looking to upskill in Gen AI or Data Science, I highly recommend connecting with Abhi. He’s not just a tutor—he’s a mentor who genuinely cares about your learning journey.
I had the opportunity to complete the Generate AI course conducted by Abhishek from Dataspoof, and I can confidently say it was one of the most valuable learning experiences I’ve had. Abhishek is exceptionally knowledgeable, helpful, punctual, and he brings an impressive level of enthusiasm and patience to his teaching. The course was thoroughly hands on, with a strong emphasis on the latest AI technologies, making the learning both relevant and practical. Abhishek has a remarkable ability to simplify complex concepts while ensuring each learner gains real world skills. I highly recommend Abhishek to anyone looking to build or strengthen their expertise in AI. His dedication to teaching and his commitment to student success truly set him apart.

Abhi sir has a remarkable ability to explain even the most complex concepts in a very detailed and easy-to-understand manner. He focuses on what truly matters—cutting out the unnecessary noise—and delivers the core ideas with clarity. His teaching approach is simple yet highly effective, making it easy for us to grasp the subject from the ground up. His own deep understanding of the topic reflects in the way he breaks things down. Learning Chain AI became incredibly smooth thanks to his guidance, and he supported us through every application of the subject.

Abhishek is expert in modern AI technologies and excellent tutor with vast depth of knowledge. Very glad to have known you and learn from a great AI crafter like you. This area of technology is evolving visible day and I am amazed at how he keeps up with all developments and stay up to date and advise others on what works best for their solutions. Wish you the best and keep making more efficient engineers
Join the next batch
12 modules across OpenAI, Claude, MCP, LangGraph, CrewAI and multi-agent systems — with capstone projects on AWS and Azure.
Book a free demo → Ask about fees on WhatsAppWhat’s included
- OpenAI Agents SDK and Claude tool use
- LangGraph and CrewAI in depth
- MCP, A2A and multi-agent systems
- Capstone projects deployed on AWS and Azure
Questions before you join?
Ask about the schedule, fees or whether the program is right for you.
New to LLMs? Start with our Generative AI Training.
Working knowledge of Python helps, since the agents are built in code. Familiarity with LLMs is useful but not required — the course starts with agent and LLM essentials.
The Generative AI Training covers the full GenAI stack — deep learning, NLP, LLMs, RAG and fine-tuning — with an agentic AI module. This course goes deep on agents specifically: OpenAI, Claude, MCP, LangGraph, CrewAI and multi-agent systems in production.
The core focus is CrewAI, LangGraph, Anthropic Claude and OpenAI (including the OpenAI Agents SDK), plus MCP and the A2A protocol. You’ll also see AutoGen, Google ADK and Agno so you can compare approaches.
Book a free demo or message us on WhatsApp at +91 83182 38637 — we’ll share the schedule, fees and what’s included.
Build the agents everyone is talking about.
Book a free demo to see how the classes work and get the next batch dates.