Agentic Development Training
Get your engineering team
shipping agentic systems to production
Hands-on, codebase-native training built on 20 production AI deployments. Your repos. Your stack. Production-ready by Friday.
Claude Code-native curriculum · US-headquartered · Personally delivered · Onsite globally
Engineering teams we've trained
The Problem
Most AI training optimizes for awareness. Yours needs to optimize for production.
Generic AI training optimizes for awareness, not production.
Slide decks and toy demos don't transfer to engineers shipping against real codebases, real conventions, and real compliance reviews.
Self-paced courses leave engineers stuck at the ceiling.
60+ hours of video later, the team still doesn't know how to configure permissions, write a useful CLAUDE.md, or pass a security review.
Vendor-led workshops train you into a single tool.
Most agentic training is sales motion in a wrapper. You learn the product; you don't learn the discipline that survives the next model release.
Security and platform teams block rollouts that skipped them.
If permissions, cost ceilings, audit trails, and managed settings aren't in the training, the rollout dies on a security review three months in.
The Methodology
The SHIP Loop
The production loop for agentic development. Four moves every engineer on your team will operate by, every day, after training.
Decide what AI can own and what humans must own.
Most agentic failures happen before a single token is generated. Teams over-delegate, under-decompose, and skip planning. We teach engineers to scope work the way senior reviewers do.
- Plan-before-prompt discipline
- Work decomposition into AI-sized units
- Reversible vs. irreversible action mapping
- Human-in-the-loop boundary contracts
Configure the toolchain for your team and your stack.
An agentic engineer is only as strong as their harness. We install a production-grade Claude Code (or equivalent) configuration on day one — built for your codebase, your conventions, your compliance posture.
- CLAUDE.md at repo, team, and org levels
- Custom skills, hooks, and slash commands
- MCP servers wired to your internal tools
- Permission hierarchy and deny rules
Run the agentic loop with checkpoints and guardrails.
The middle game is where teams burn budget and lose trust. We drill the daily loop: how to checkpoint, when to reset, what to verify, where to spend tokens, and how to keep evals tight.
- Reset-early discipline and context hygiene
- Eval gates and verification checklists
- Cost ceilings and spend telemetry
- Multi-agent patterns (worktrees, subagents)
Ship to production with observability and rollback.
Code that an agent wrote ships under the same bar as code a human wrote — and then some. We close the loop with the governance, observability, and audit trail your platform team will sign off on.
- CI/CD integration and headless mode
- Drift detection and production observability
- Audit trails and review chain-of-custody
- Rollback and incident playbooks
What Your Team Walks Away With
Production-grade by the end of training. Not concepts. Configuration.
Production-grade Claude Code workflows
Engineers leave with a configured, committed setup running against your real repos — not a demo project.
Custom skills, hooks, and MCP servers
Team-specific automations for code review, testing, deployment, and your internal tooling surface.
Multi-agent patterns
Worktrees, subagents, and coordination patterns for parallel work without stepping on each other.
Eval frameworks engineers actually run
Automated evals, human-in-the-loop checks, and the discipline to gate promotions on them.
Cost and permissions guardrails
Right-sized spend (typical 40–60% reduction), deny rules, and managed settings that scale to org-wide rollout.
Compliance posture
SOC 2, HIPAA, GDPR, and EU AI Act alignment built in — not bolted on after security review blocks rollout.
Who It's For
Built for the people who own the rollout.
Engineering teams
Application, platform, and product engineers who need to ship features faster without sacrificing review discipline.
- 5–50 engineers
- Existing codebase, real conventions
- Wants compounding velocity, not vibes
AI / platform teams
The team standing up the agentic toolchain for the rest of the org. Needs reference architecture and a defensible policy stack.
- Toolchain owners
- Internal platform builders
- Needs to defend cost and risk to security
Heads of engineering
VPs, directors, and CTOs who own the productivity narrative and need a measurable rollout plan their board can read.
- Org-wide rollout sponsor
- Owns AI productivity KPIs
- Needs measurable baseline and outcomes
Delivery Formats
Three ways to run it. Pick the one that fits your team.
Virtual Workshop
Live, instructor-led, on Zoom. Working session against your real repos with screen-share configuration. Best fit for distributed teams that need to be production-ready by Friday.
Includes
- Pre-workshop stack and codebase intake
- Live configuration of CLAUDE.md, skills, hooks
- Production-ready .claude/settings.json
- Team onboarding playbook
- 30-day post-workshop office hours
From $2,500
Up to 10 participants included · $150/person beyond
Onsite Team Training
We come to you. Customized to your stack, your conventions, and your industry's compliance posture. Two senior instructors minimum. Built for teams that want a measurable before-and-after.
Includes
- Custom curriculum scoped to your team
- Two senior instructors onsite
- Hands-on labs in your real environment
- Baseline + outcome measurement
- 60-day post-training support
Custom
Scoped per engagement · global delivery
Production Bootcamp
An immersive offsite for senior engineering teams. Five days of focused work with no calendar interruptions, ending with each engineer shipping a real feature to production. Application-only.
Includes
- All-inclusive destination accommodations
- Daily build → review → ship cycles
- Capstone: real feature shipped from your backlog
- Alumni network and ongoing community
- Certification badge on completion
Application only
Limited cohorts · enquire for next dates
Flagship Curriculum
Five days from baseline to production-grade.
The full Production Bootcamp agenda. Shorter formats compress this into a single working session against your real repos.
Day 1
Scope — the work that ships starts here
- 01The agentic development mental model
- 02Plan-before-prompt: scoping and decomposition
- 03Reversible vs. irreversible: what AI can own
- 04Human review as a first-class workflow
- 05Lab: scope a real backlog item from your repo
Day 2
Harness — building your team's toolchain
- 01CLAUDE.md hierarchy: repo, team, org
- 02Custom skills, slash commands, and hooks
- 03MCP servers and internal tool integration
- 04Permission policies and deny rules
- 05Lab: install and commit your team's harness
Day 3
Iterate — running the loop without burning budget
- 01The daily loop: checkpoint, verify, reset
- 02Eval frameworks engineers actually run
- 03Multi-agent patterns: worktrees and subagents
- 04Cost telemetry and spend ceilings
- 05Lab: run a multi-agent build from your backlog
Day 4
Promote — production-grade by Friday
- 01CI/CD integration and headless mode
- 02Production observability for agent-written code
- 03Audit trails and review chain-of-custody
- 04Compliance posture: SOC 2, HIPAA, GDPR, EU AI Act
- 05Lab: ship the capstone to production
Day 5
Scale — making it stick org-wide
- 01Rollout playbook: pilot to org-wide adoption
- 02Measuring outcomes that survive a board meeting
- 03Building your internal community of practice
- 04Cost rebalancing as the team scales
- 05Capstone review and certification
Your Instructor
Ritesh Vajariya
Founder, AI Guru · The practitioner who built it
Most AI trainers teach what they read about. Ritesh teaches what he's shipped — and personally delivers every workshop. No junior trainers. No sales-led handoffs. The architect of BloombergGPT in your room.
US-Headquartered
Princeton, NJ · United States
Personally Delivered
Ritesh runs every workshop himself
Global Onsite
Delivered in 20+ countries on five continents
What Engineers Say
Reviews from the people who shipped after training.
“Hands down, the BEST course in town for engineers. Ritesh is a master at breaking complex AI fundamentals into lucid examples. Worth every single dollar and every second of your time.”
Hemant
Principal Solution Architect · Ericsson
“AI for Engineers is a phenomenal course. Ritesh is superbly competent and didn’t mind presenting cases that require iterative corrections — showing how real-world problems are actually solved.”
Zbigniew
Associate Professor · Duke University
“Ritesh delivers top-notch knowledge and resources. Amazing course and experience.”
Andre
Software Engineer · 3Pillar Global
“Be prepared to put quite a few hours during the week to experiment with code and read materials provided. Well worth it.”
Niko
Principal Software Engineer · Royce Geospatial Consultants
Measured Outcomes
The numbers your sponsor needs to defend the rollout.
40–60%
Reduction in agentic spend
Right-sized configuration and cost guardrails typically cut a team's first-month spend in half — without reducing throughput.
2–3×
Throughput on bounded work
Engineers report shipping 2–3× more bounded features per sprint after adopting the SHIP Loop, measured against pre-training baseline.
Day 1
Production-ready toolchain
Every team walks away with a committed CLAUDE.md, configured permissions, and a custom skills library — running against their real repos before training ends.
5/5
Average participant rating
Across 70,000+ professionals trained in 20+ countries. NPS 72 — top decile for enterprise technical training.
Investment
Three formats. Transparent anchor pricing. No vendor games.
Virtual Workshop
Half-day · up to 10 participants
The fastest way to get a team production-ready. Live, instructor-led, against your real repos.
- Half-day live workshop
- Up to 10 participants
- Production-ready settings.json
- 30-day office hours
- Add'l participants $150 each
Team Training
1–3 days · onsite or virtual
Customized to your stack, your conventions, your industry. Two senior instructors. Measurable before-and-after.
- Custom curriculum
- Up to 30 engineers
- Onsite global delivery
- Baseline + outcome measurement
- 60-day post-training support
Production Bootcamp
5 days · destination offsite
Immersive 5-day offsite for senior engineering teams. Each engineer ships a real feature to production.
- All-inclusive accommodations
- Up to 20 engineers
- Capstone shipped to production
- Certification badge
- Alumni network
Volume pricing available for org-wide rollouts. India-based teams: see aiguru.in for INR pricing.
Frequently Asked
The questions buyers ask before booking.
How is this different from a Coursera or YouTube course?
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Self-paced courses teach concepts. We configure your team's actual toolchain against your actual codebase in real time. By the end of the workshop, your engineers have a production-ready setup committed to your repos — not notes from a video.
Do you train on our codebase, or a sample project?
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Your codebase. We do a pre-workshop intake to understand your stack, conventions, and security posture, then we work in your real repos during the session. Sample projects don't transfer; muscle memory in your environment does.
Which AI models and tools does the training cover?
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We lead with Claude Code because it's the strongest agentic development surface today, but the SHIP Loop is model-agnostic. We cover Cursor, Aider, GitHub Copilot, and emerging tools, and our methodology applies across providers. We don't train your team into a single-vendor dependency.
Can you handle our compliance requirements (SOC 2, HIPAA, GDPR, EU AI Act)?
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Yes. Our governance practice supports ISO 42001, NIST AI RMF, and EU AI Act readiness. We bake compliance posture into the training itself — permissions, audit trails, and managed settings — so your security team approves the rollout instead of blocking it.
How quickly can you start?
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Virtual workshops can typically be scheduled within 2 weeks of a discovery call. Onsite engagements depend on travel and scoping, usually 3–6 weeks. Production Bootcamps run on a published cohort calendar — apply early, seats are limited.
Do you charge per person or per session?
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The Virtual Workshop is priced per session ($2,500) with up to 10 participants included. Team Training and Bootcamps are scoped per engagement based on team size, duration, and customization. Volume pricing available for org-wide rollouts.
Where are you based, and how does delivery work?
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AI Guru is headquartered in the United States, and Ritesh personally delivers every workshop — no junior trainers, no sales-led handoffs. Onsite engagements bring him to your office anywhere in the world; we've delivered training across 20+ countries on five continents. Virtual workshops run on US business hours by default and can be scheduled to fit any timezone.
Do participants receive a certificate or badge?
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Yes. Every participant who completes a workshop receives a digital badge they can post to LinkedIn. Bootcamp graduates receive a Certified Agentic Engineer credential after capstone review.
How does this differ from your Udemy course on Claude Code?
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The Udemy course (Claude Code Enterprise Mastery: Ship Faster, Ship Safer) is the self-paced foundation — built for individual engineers learning the SHIP Loop on their own time, against a sample monorepo. The live workshop is a different product: Ritesh in the room with your engineers, against your real codebase, your real conventions, configuring your actual permissions and CLAUDE.md files. Many teams take the Udemy course first to build shared vocabulary, then book the workshop to install the toolchain across the team. The workshop covers everything in the course plus the customization, the live mentorship, and a production-ready setup committed to your repos by the end of the session.
Free Download
The Agentic Development Playbook
The 29-page field guide we hand to every engineering team before training. The SHIP Loop, sample CLAUDE.md and settings.json templates, the daily loop, CI/CD patterns, and the cost-management cheatsheet.
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Want to dig in solo before booking? Take the self-paced course Claude Code Enterprise Mastery: Ship Faster, Ship Safer on Udemy.
Ready to start
Your team. Your stack. Production-ready by Friday.
20-minute discovery call. We'll scope the right format, the right cohort size, and a delivery date that works for your sprint cycle.
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