Build Agentic AI.
Engineer for production.
Practical cohort training and architectural consulting on production multi-agent systems, Model Context Protocol (MCP), RAG architectures, and AI evaluation frameworks.
Why SharadhaAI?
Practical, cohort-driven learning designed by practitioners for engineers, architects, and technical leaders building real-world AI systems.
Production-Grade Focus
Master tool calling, Model Context Protocol (MCP), multi-agent orchestration, and end-to-end AI evaluation frameworks with hands-on code.
2 Hours/Week Live Format
2-hour live interactive weekend cohorts with dedicated mid-week Q&A sessions to review code architecture and unblock projects.
Industry Certification
Receive an industry-recognized Certificate of Completion upon finishing verified capstone AI agent & evaluation projects.
Cohort Programs
Deep-dive technical cohorts for working engineers, SDETs, and AI architects looking to ship production agentic software.
Mastering Agentic AI Foundations
Master Tool Calling, Model Context Protocol (MCP), Agentic QA, advanced RAG architectures, and automated LLM evaluation pipelines.
Bespoke / Customised Timings
Tailored weekend/weekday slots or dedicated 1-on-1 batch timings matched to your individual work schedule or engineering team sprint.
Advanced Tracks
Specialized architectural deep-dives in Agents & RAG, Agentic QA, AI Evaluation & Adversarial Testing, and AI Guardrails (NeMo).
Corporate Training for Teams
Customized AI capability building and enterprise architecture workshops tailored to your organization's stack and security policies.
Enterprise Agentic AI & RAG Engineering
Production AI Agent design, Model Context Protocol (MCP) integrations, and RAG architectures tailored to your tech stack and private cloud.
AI System Design for Architects
Strategic architectural workshops on deterministic vs non-deterministic testing, cost/latency benchmarking, guardrails, and enterprise security governance.
AI Advisory & Consulting
Architectural guidance, system audits, and tailored consulting to help engineering teams de-risk production AI systems.
Agentic AI & RAG Architecture
Design production-grade multi-agent workflows, Model Context Protocol (MCP) tooling, vector stores, and enterprise RAG systems.
AI Evaluation Frameworks & Audits
Implement golden test datasets, LLM-as-a-judge scoring models, non-deterministic AI testing, and performance/cost benchmarking.
Technical Webinars & Masterclasses
Free technical masterclasses on Agentic AI, MCP, and AI architecture.
The New QA Paradigm: Agentic QA vs. AI Agent Testing
Discover the fundamental difference between Agentic QA vs. AI Agent Testing and how to evaluate non-deterministic workflows.
Evaluating Non-Deterministic Agents & Guardrails
Architectural deep-dive into LLM-as-a-Judge scoring models, hallucination benchmarks, and CI/CD automated PR tracing.