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The future of learning is doing.
350+ Students trust us
NEXT-AI: Next-Gen, Extensive Agentic Intelligence
Build Autonomous, Deployable AI Agents with Real-World Skills and Industry-Ready Tools to Enterprise-Grade Deployments.
Developed by AI Practitioners, NEXT-AI is designed for forward thinking developers, product engineers, and AI technologists who are eager to engineer real-world autonomous, collaborative, and production-ready Agentic AI systems.
By the end of this course, you will confidently:
✅ Implement end-to-end multi-agent workflows using cutting-edge orchestration frameworks
🧠 Engineer LLM behavior with prompt strategies, memory integration, and tool usage
⚙️ Optimize agent coordination to reduce hallucinations, latency, and inefficiencies
🔌 Integrate external APIs and services for dynamic, real-time decision loops
🤝 Collaborate cross-functionally with shared understanding of agentic system architecture
🧩 Build modular and reusable agent components designed for enterprise deployment
🌐 Implement MCP (Model Context Protocol) for scalable orchestration
🗺️ Plan orchestration strategies for adaptive multi-agent communication
🧬 Design and deploy real-world agent collaboration systems
🗃️ Manage memory architecture for multi-turn, multi-agent environments
🛠️ Evaluate & compare frameworks like LangChain, LangGraph, and AutoGen
📊 Measure and benchmark agent performance with robust evaluation methods
🧬 The Biology of LLMs & Modern AI Architectures
🔧 Supervised Fine-Tuning, LoRA & QLoRA
🧠 Agentic Workflow Planning & Orchestration
🧩 Design Patterns for Multi-Agent Collaboration
🚀 Modular Deployment in Real-World Scenarios
Virtual Instructor-Led: Learn collaboratively with an industry expert through interactive sessions.
Hands-on Prototyping: Apply skills to real-world projects via practical assignments and case studies.
Individual Mentoring: Get personalized guidance on your projects as needed.
Live Workshop Schedule (11:00 AM – 01:00 PM IST):
June 14 (Sat): Foundations of Generative AI and LLMs
June 15 (Sun): Building and Prompting with LLMs
June 21 (Sat): Model Context Protocol in Agentic AI
June 22 (Sun): Reasoning Strategies and Coding Recipes
June 28 (Sat): Architecting and Implementing Agentic AI
June 29 (Sun): Visual and No-Code Agentic AI Development
July 5 (Sat): Action and API Integration in Agentic AI
July 6 (Sun): Memory and Retrieval in Agentic Systems
July 12 (Sat): Multi-Agent Collaboration and Orchestration
July 13 (Sun): Monitoring, Trust, and Responsible Agentic AI
July 19 (Sat): Designing and Building a Complete Agent
July 20 (Sun): Deploying, Testing, and Showcasing the Agent
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Product Layer |
Tools |
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Vector Databases |
Pinecone, Weaviate, Qdrant, FAISS, ChromaDB |
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Low-Code Tools |
LangFlow |
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APIs and Interfaces |
FastAPI, Flask, Gradio, Streamlit |
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Frameworks |
LangChain, LangGraph, AutoGen |
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Native Development of Agents |
OpenAI Agents SDK, Hugging Face Transformers + PEFT, Google Agent Development Kit (ADK) |
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Agentic Protocols |
MCP (Model Context Protocol) |
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Evaluation & Observability |
Weights & Biases, MLflow, |
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Memory & State Management |
LlamaIndex, LangChain Memory modules |
🔧 LLM Agent from Scratch: Build from scratch (without framework) to understand foundational principles.
🎛️ Low-Code Agentic AI System (Visual-first)
🔍 Enterprise RAG System (Production-grade): Implement retrieval-augmented generation for high-performance enterprise solutions.
🤖 Enterprise Agentic RAG: Expand RAG with multi-agent capabilities.
🌍 4 Real-World Agentic AI Applications: Tackle practical use cases ready for production environments.— deployable, reusable, impactful
🔹 Crystal-clear understanding of Agentic AI vs. AI Agents
🔹 End-to-end confidence to deploy production-ready agent systems
🔹 Ability to evaluate agent performance and design quality
🔹 Deep fluency in Agentic Design Patterns & Collaboration Models
👨💻 / 👩💻 Software Engineers and Developers
Professionals aiming to deepen their expertise in AI agent development and deployment.
✅ Data Scientists and AI Researchers
Individuals seeking to enhance their understanding of autonomous systems and their practical applications.
✅ Technical Project Managers and System Architects
Leaders responsible for integrating AI agents into complex system architectures.
⚙️ AI Product Managers and AI for Impact Professionals
🧗Career Transitioners into AI
This is NEXT — a course built with serious intent, for serious professionals.
Go beyond demos and prompt hacks. Learn to build intelligent agents that reason, collaborate, and integrate deeply into real systems.
INR 26069/- 17768/- 15055/- only
🔥 limited period offer, book your seat now
*GST + Service charges extra
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Director, SETU
Ujjyaini is among the top 30 global outstanding Women in data, 2024 by Dataleum. She is an innovative professional, who has spearheaded groundbreaking initiatives in Data Science, AI and Digital Transformation.
Sr Educator at SETU
A Data Detective ||Machine Learning|scikit-learn|SQL|| Aiding organizations to grow & compete by developing solutions leveraging Interpretation, Extraction of valuable meaning from data and Pattern findings
Educator at SETU
Data detective || Machine Learning Leveraging the Power of algorithms to extract valuable patterns, develop predictive ML models to fuel growth & innovation
AI-GenAI Expert
Shivranjan Kolvankar is an AI-GenAI Expert specializing in LLMs and EdTech research. A mentor and thought leader, he drives innovation, sustainable success, and industry-ready learning at SETU School.
