Build Agentic AI.
Test it for production.
Choose your roadmap and explore free courses, or join live cohorts for developers who build AI agents and for QA engineers and SDETs who test them. Add corporate workshops and advisory on production multi-agent systems, RAG and AI evaluation, keep your tools knowledge current, and become production ready.
Choose Your Roadmap
Advance your agentic engineering skills from whichever level you are today. Choose the path below that fits your role: start with free fundamentals, build the core concepts in a live cohort, then get hands-on with the tools. Select any stop to see what's inside.
Cohort Programs
Three career tracks for working engineers. Build agentic AI as an AI Engineer, use AI agents to test software faster with Agentic QA, or test AI itself with Agentic Evaluation.
Mastering Agentic AI Foundations
Master Tool Calling, Model Context Protocol (MCP), advanced RAG architectures, multi-agent orchestration, and automated LLM evaluation pipelines.
Software engineers, tech leads and architects building production AI systems.
AI Engineer • Agentic AI Developer • AI Solutions Architect
Design, build and ship tool-using agents, RAG pipelines and multi-agent workflows to production.
Agentic QA for Testers & SDETs
Go from chatting with AI to running QA agents: Claude Code and Cursor for automation, Playwright Test Agents to plan and heal tests, and your own LangGraph agent triaging CI failures.
Manual and automation testers, SDETs and QA leads adopting AI in their testing.
Agentic QA Engineer • AI-Augmented SDET • QA Automation Lead
Cut test design and automation time with AI agents, and review their output like a senior SDET.
Agentic Evaluations for QA Engineers & SDETs
Move from testing software to testing AI. Design eval datasets, build LLM-as-a-Judge pipelines, evaluate agent trajectories and RAG groundedness, red-team AI systems, and ship evals in CI/CD.
QA engineers, SDETs and QA leads moving into AI evaluation roles.
AI Test Architect • AI Quality Engineer • Agentic Evals Engineer
Define what "good" means for an AI system, measure it reliably, and block releases when quality drops.
Need a different schedule? Custom batch timings and 1-on-1 classes are also available. Enquire →
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.
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.
Agentic Evaluations & Agentic QA
Equip your QA and engineering teams to test AI systems and to test with AI: golden datasets, LLM-as-a-Judge scoring, agent and RAG evaluation, adversarial and guardrail testing, evals in CI/CD, and AI-augmented test automation.
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.