All coursesInstructor-ledProgram 01 · Essentials

Agentic AI Foundation Program — Essentials

Four-hour intensive for IT-services teams: cost-quality trade-offs, token optimization, tooling, guardrails, model selection, security, and observability — 80% hands-on.

Jigar JoshiTaught byJigar Joshi
FormatInstructor-led
LevelProgram 01 · Essentials
Modules8
LanguageEnglish
CertificateIncluded

About this program

Program 01 — a single intensive session for teams that use AI daily but have not yet systematized cost, quality, and governance. Eight topics in four hours; every topic ends with a practical framework your team can apply immediately.

Investment: ₹40,000 per session · up to 25 participants · 80% hands-on execution ratio.

What you'll learn

The core capabilities you walk away with.

AI Cost Audit Framework — token analysis, cost calculator, prompt scorecard
Token optimization patterns — compression, context templates, budgeting
Tool setup framework — tool matrix, MCP checklist, workflow design
Guardrails & validation engine — input/output verification and safety templates
Model selection framework — cost scorecard, use-case mapping, vendor evaluation
Security & privacy framework — data classification, PII protection, compliance guide
Observability dashboard — cost monitoring, token tracking, error monitoring
Optimization capstone — workflow optimization, governance setup, deployment blueprint

Who this course is for

Engineers & tech leads

Developers who already use AI assistants and want measurable efficiency gains or production agent skills.

Product & engineering managers

Leaders scoping agentic AI work who need frameworks to evaluate builds, cost, and risk.

IT company founders & CEOs

Decision makers equipping teams to close the gap between AI users and AI builders.

What's included

Post-training support — 2 live review calls in the first month
Completion certificates issued within 48 hours
3 months complimentary access to LearnO, ScanDoc, GeoTracks, ReachO, and HeyFilo

Course syllabus

8 modules

AI cost audit framework, token analysis, cost calculator, prompt scorecard, and usage checklist.

Meet your instructor

Jigar Joshi

Jigar Joshi

Agentic AI Architect & Founder, Wan Buffer

Jigar is an agentic AI consultant, trainer, and architect who helps teams ship production-grade systems. He trains development teams and consults with IT companies to build autonomous AI agents, and every engagement is customised to the client’s tech stack and produces working deliverables.

He runs Wan Buffer, an agentic AI consulting and training firm, delivering corporate training to development teams, tech leads, and IT company leaders — from keynote stages to hands-on workshops for software CEOs.

Frequently asked questions

This course may not be for you if…

  • ✕ You want a quick theory overview with no hands-on work.
  • ✕ You are looking for generic prompt tips rather than systems engineering.
  • ✕ You are not ready to apply what you learn to real workflows.

Ready to build with agentic AI?

Enquire about the Agentic AI Foundation Program — Essentials and we’ll map it to your team. INR 40,000.