Enrolling NowCohort starts on 24 October, 2026Limited seats
Enrolling now6 Weeks · Live cohort · 6 instructor-led sessions

Build enterprise-grade products with Claude Code

One enterprise product, from business idea to a tested, secured and deployed application — using spec-driven development with Claude Code and Claude Design.

BRD & PRDProduct DesignArchitectureDevelopmentTestingSecurityDeployment
View Full CurriculumEnroll Now — ₹8,999
Built for software developers and IT professionals
Developers · QA & DevOps Engineers · Technical Leads · Architects · Product Managers
01Business IdeaThe unstructured starting point
02BRD & PRDRequirements, stories, MVP scope
03Claude Design PrototypeFlows, screens, interactive prototype
04Technical ArchitectureTRD, HLD, data model, ADRs
05Claude Code DevelopmentVertical-slice feature build
06Testing & SecurityAutomated tests, defect fixes, review
07DeploymentDocker, CI/CD, monitoring, rollback
6Live instructor-led sessions
6 WeeksGuided product development
1Enterprise capstone product
24Engineering deliverables
End-to-EndRequirements to deployment
Career ReadyPortfolio-ready product case study
Built for technology professionals
Software DevelopersFull-Stack EngineersQA EngineersDevOps EngineersTechnical LeadsArchitectsProduct ManagersBusiness Analysts

Most AI coding courses teach you to generate code. This one teaches you to engineer products.

AI tools can generate files and code quickly. Enterprise software needs much more: clear requirements, practical design, appropriate architecture, maintainable code, automated testing, defect resolution, security review, deployment discipline and human engineering judgement. This cohort teaches you to use Claude across the product lifecycle without losing technical control, quality or accountability.

Product-First

Start with the business problem, user requirements and measurable outcomes — not an empty repository.

Design-to-Code

Create user flows, screens and prototypes in Claude Design before implementation begins.

Architecture-Led

Evaluate technical options and document architecture decisions before generating application code.

Spec-Driven

Write the specification first, then run Claude Code against it with project instructions, plan mode and human review gates.

Quality-Focused

Generate and review tests, reproduce defects, perform root-cause analysis and verify every fix.

Production-Oriented

Close the lifecycle with security checks, CI/CD, deployment, monitoring and a product roadmap.

Who Should Join

Designed for professionals building software products

This is not a programming fundamentals or no-code course. You should already write software.

Software DevelopersFrontend DevelopersBackend DevelopersFull-Stack EngineersMobile App DevelopersAI & ML EngineersData EngineersQA & Automation EngineersDevOps & Platform EngineersTechnical LeadsSolution ArchitectsEngineering ManagersCTOs & VPs of EngineeringTechnical Product ManagersBusiness Analysts with dev exposureTechnology ConsultantsTechnical Startup Founders
Prerequisites
  • Minimum: Basic programming knowledge and familiarity with Git/repositories.
  • Good to Have: Experience building or contributing to a web application, with basic understanding of APIs, databases, and software development workflows.
  • You will also need: Access to Claude Code, which comes with a Claude subscription.

No prior Claude Code experience required.

Detailed Curriculum

Six sessions. One complete product.

Every session moves the same capstone product forward. No isolated demonstrations — you progressively define, design, architect, develop, test and deploy one connected application.

Download brochure (PDF, 4.3 MB)
SessFocusWhat You DoMain Deliverable
01Product Discovery & RequirementsProblem definition · Personas · Success metrics · User stories · Prioritisation · MVP scopeBRD, PRD & MVP backlog
02Product DesignUser journeys · IA & navigation · Wireframes · Hi-fi screens · Design system · StatesInteractive prototype & handoff
03Architecture & Claude CodeArchitecture options · Data modelling · ADRs · CLAUDE.md · Plan Mode · Permissions · GitHLD, TRD & configured repo
04Feature DevelopmentVertical slices · APIs · Validation · Error handling · Multi-file refactoringWorking product feature
05Testing & QualityUnit & integration tests · Spec-to-test traceability · Defect RCA · Code reviewTested, reviewed feature
06Security & DeploymentSecrets · Dependency security · Docker · CI/CD · Staging · Monitoring · RollbackDeployed product & roadmap

Concepts Covered
  • The product engineering lifecycle end to end
  • Business problem definition, stakeholders and user personas
  • Business goals and success metrics
  • Business Requirements Document and Product Requirements Document
  • Functional and non-functional requirements
  • User stories and acceptance criteria
  • Feature prioritisation and MVP definition
  • Scope, assumptions, constraints and requirement validation using Claude
Hands-On Work
Problem statementStakeholder mapBRDPRDUser storiesAcceptance criteriaBacklog
Session Outcome
BRD, PRD and prioritised MVP backlog
You can convert a business idea into structured product requirements that design and engineering teams can implement.

Concepts Covered
  • User journeys and information architecture
  • Application navigation and screen hierarchy
  • Primary and exception flows
  • Wireframes to high-fidelity product screens
  • Reusable design systems and responsive layouts
  • Loading, empty, error and permission-based states
  • Design review, iteration and design-to-development handoff
Hands-On Work
User journeyApp flowScreen inventoryCore screensComponent systemPrototype
Session Outcome
Interactive prototype & design handoff notes
You have a product prototype aligned with the PRD and ready for technical implementation.

Concepts Covered
  • Functional and non-functional architecture requirements
  • Monolith, modular monolith, microservices and serverless trade-offs
  • Frontend, backend and API architecture
  • Database selection and modelling
  • Authentication, authorisation and external integrations
  • Scalability and maintainability
  • TRD, High-Level Design and Architecture Decision Records
  • Repository analysis, CLAUDE.md, Plan Mode, permissions and context management
  • Git branches and pull requests as review checkpoints
Hands-On Work
TRDHLDArchitecture diagramAPI structureData modelADRCLAUDE.md
Session Outcome
Implementation-ready architecture & configured repo
You have a controlled Claude Code development environment and an approved implementation plan.

Concepts Covered
  • Feature decomposition and vertical-slice development
  • Frontend, backend and API implementation
  • Database integration, input validation, error handling and logging
  • Multi-file code changes and refactoring with Claude Code
Hands-On Work
Feature planUI buildBackend logicDB integration
Session Outcome
A complete, working product feature
You build it with a professional Claude Code workflow — planned, reviewed and verified by you.

Concepts Covered
  • Unit, API and integration testing
  • Spec-to-test traceability: generating tests from acceptance criteria
  • Defect reproduction, root-cause analysis and regression testing
  • Code review and pull-request preparation
Hands-On Work
Automated testsDefect RCACode reviewPull request
Session Outcome
A tested, reviewed product feature
You verify the build against the acceptance criteria you wrote, resolve what fails and open a reviewed pull request.

Concepts Covered
  • Secure development fundamentals and authorisation review
  • Environment and secret management
  • Dependency security and safe logging
  • AI-assisted security review and finding verification
  • Docker and CI/CD pipelines with build and test gates
  • Deployment environments, staging deployment and verification
  • Logging, monitoring and rollback planning
  • Production-readiness review, technical debt and the product roadmap
Hands-On Work
Security reviewVulnerability fixesContainerisationCI/CD workflowDeploymentRollback checklist
Session Outcome
A tested, reviewed and deployed product
You finish the cohort with a live application, a rollback plan and a future product roadmap you present to the group.
Enroll Now — ₹8,999
Inside the Workflow

One product, six artefacts you keep

Every session ends in something real — a spec, a prototype, a configured repo, a reviewed feature, a test suite, a deployment. This is what the cohort actually produces.

Session 01 produces a product requirements document. The example shows acceptance criterion AC-14 — a non-member cannot post to a private channel — broken into six testable conditions.

Session 02 turns the requirements into an interactive Claude Design prototype, and that prototype into the first implementation of the channel membership rule.

Session 03 produces the configured repository — architecture decision records, a high-level design, and the CLAUDE.md project instructions Claude works under.

Session 04 builds the feature. Claude reads the spec and the architecture record, proposes a four-file plan, waits for your approval, then runs the tests.

zsh · claudePlan Mode
> implement AC-14 — a non-member cannot post to a private channel ⏺ Read(docs/prd.md)⎿ Read 231 lines⏺ Read(docs/adr/0003-websockets.md)⎿ Read 46 lines ⏺ Plan — 4 files, no schema change1. messages/post.ts — channel membership guard2. messages/audit.ts — log the blocked attempt3. messages/post.test.ts — 6 cases from AC-144. app/channels/[id]/page.tsx — disabled composer Would you like to proceed? 1. Yes, and auto-accept edits❯ 2. Yes, and manually approve edits 3. No, keep planning ⏺ User approved Claude's plan⏺ Bash(npm test -- post)⎿ Tests: 6 passed, 6 total⏺ Bash(gh pr create --fill)⎿ .../pull/128

Session 05 generates the test suite from the acceptance criteria. Each of the six cases traces back to a condition written in AC-14.

Session 06 ships it. The delivery pipeline runs six gates: review, build, tests, security scan, a tagged image, and a verified staging deploy with a rollback plan.

Step 01Commit & PRreview gate
Step 02Buildlint · types
Step 03Automated Testsunit · API
Step 04Security Scandeps · secrets
Step 05Docker Imagetagged
Step 06Staging Deployverify · rollback
Capstone Project

Build a Team Messaging and Collaboration Platform

One Slack-style workspace — channels, threads, presence and real-time delivery — built across the entire cohort. The same product every session moves forward.

Product scope
User authenticationWorkspaces & channelsReal-time messagingThreads & mentionsPresence & typing statusRead state & unreadsFile attachmentsSearch & filteringNotificationsRole-based accessAudit historyREST & WebSocket APIsDatabase integrationAutomated testsContainerised deploymentCI/CD pipeline
Week 1DefineBusiness requirements, users, features and the MVP.
Week 2DesignProduct flows, screens, reusable components and an interactive prototype.
Week 3ArchitectSelect the architecture, model the data and configure the repository.
Week 4BuildImplement features end to end with a planned and reviewed Claude Code workflow.
Week 5Test & HardenAutomated tests, defect resolution, code review and a security review.
Week 6ShipCI/CD, staging deployment, monitoring and rollback planning.
What You Will Build

One product. Complete engineering evidence.

Ten-plus professional deliverables you can show in an interview, a client pitch or a promotion case.

Product Documentation

  • Business Requirements Document
  • Product Requirements Document
  • User stories
  • Acceptance criteria
  • MVP backlog

Product Design

  • User journey
  • Application flow
  • Screen designs
  • Design system
  • Interactive prototype

Technical Architecture

  • Technical Requirements Document
  • High-Level Design
  • Architecture diagram
  • API structure & data model
  • Architecture Decision Records

Software Implementation

  • Configured code repository
  • Project-level Claude instructions
  • Working application features
  • Git commit history
  • Pull request

Quality and Security

  • Automated test suite
  • Defect report & root-cause analysis
  • Regression-test evidence
  • Security review
  • Remediation checklist

Deployment

  • Docker configuration
  • CI/CD pipeline
  • Deployed application
  • Deployment checklist & rollback plan
  • Future product roadmap
What You Actually Learn

Skills modern product engineering teams need

Product Understanding

Translate business problems into clear, measurable product requirements.

Product Design

Turn user requirements into usable interfaces and implementation-ready prototypes.

Architecture

Evaluate trade-offs and select a technical solution based on product constraints.

AI-Assisted Development

Use Claude Code for repository analysis, planning, implementation and refactoring.

Quality Engineering

Design tests, investigate defects and independently verify AI-generated changes.

Secure Delivery

Review application security, manage secrets and build deployment controls.

Production Readiness

Create CI/CD pipelines, deploy applications and prepare operational documentation.

Engineering Communication

Explain requirements, design choices and implementation trade-offs.

Move beyond basic AI coding.

Organisations do not only need professionals who can prompt AI tools. They need engineers who understand the product being built, evaluate AI-generated plans, make architecture decisions, maintain code quality, validate behaviour, resolve production defects, protect security and deploy responsibly.

Relevant career paths
AI-Native Software EngineerFull-Stack Product EngineerSenior Software DeveloperTechnical LeadSolution ArchitectQA Automation EngineerDeveloper Productivity EngineerPlatform EngineerTechnical Product ManagerAI Engineering Consultant
Portfolio outcome

Present the final capstone as an end-to-end product engineering case study.

RequirementsDesignArchitectureDevelopmentQualitySecurityDeployment
Technology Stack

The tools of an AI-native workflow

You may apply the same workflow with another suitable language or application stack — the reference stack keeps live demonstrations consistent.

Core Platforms
Claude CodeClaude Design
Development Workflow
GitGitHubVS CodeCLI tooling
Reference Application Stack
React / Next.jsFastAPI / Node.jsPostgreSQLREST & WebSockets
Quality and Delivery
Automated testingDockerGitHub ActionsCloud deploymentLogging & monitoring
Your Mentor

Learn from a Practitioner

An AI engineering professional who has delivered enterprise AI, generative AI and product engineering engagements across multiple industries.

Saurabh ShahaneFounder & CEO
Saurabh Shahane
Founder & CEO, The Machine Learning Company
  • Enterprise AI and GenAI solution development across multiple industries
  • AI-assisted software engineering, product and architecture consulting
  • Retrieval-Augmented Generation, agents, deployment and MLOps
  • Years of mentoring technology professionals through project-driven programmes
Mentor message

“AI tools can significantly accelerate product development, but speed alone does not create enterprise-grade software.”

Engineers must still understand the requirements, choose the architecture, review the code, verify the tests, protect the application and own the final outcome.

Practitioner Stories

What TMLC practitioners say

From our GenAI and AI Agents cohorts — this is the first Product Engineering cohort, so its stories are still to come.

“I wanted real project work with team deadlines, and TMLC gave exactly that. I picked up end-to-end pipelines, deployment and MLOps practice I now use at work every week.”

Sandeep Kirwai
Data Scientist II, Pattern

“The mentor support made the difference. Whenever I was blocked on a technical decision, I got a straight, experienced answer instead of a generic one.”

Manasvi Logani
Data Scientist, Newgen Software

“I understood concepts far more deeply by shipping them. I am much more confident taking ownership of a project end to end now.”

Natash Nalyaka
Data Analyst, Intelligra
What's Included

One programme. Complete product engineering journey.

Six Live Sessions

Instructor-led learning across the complete product lifecycle.

Capstone Project

Build one enterprise-oriented product across all sessions.

Guided Assignments

Structured implementation milestones between sessions.

Session Recordings

Revise, or catch up on a session you had to miss.

Templates & Documents

Reusable BRD, PRD, TRD, HLD, testing and deployment templates.

Mentor Support

Guidance for technical blockers and project decisions.

Community Access

Connect with other developers and technology professionals.

Certificate

Awarded after completing the required capstone milestones.

Portfolio Case Study

Turn the final project into a professional case study.

Enrollment

Invest in your product engineering career

AI-Native Product Engineering with Claude Code Cohort
₹8,999₹19,900
Early-bird offer valid until 19 September, 202622 of 30 seats left
  • Six live instructor-led sessions
  • Enterprise capstone project
  • Reusable engineering templates
  • Guided assignments between sessions
  • Session recordings
  • 2 years access to all programme materials
  • Mentor and doubt support
  • Community access
  • Final project review
  • Certificate on completing project milestones
  • Portfolio case-study guidance
Enroll Now — ₹8,999

Secure Razorpay checkout — UPI, cards, and netbanking. Questions first? Chat on WhatsApp or get in touch.

Claude subscription, Claude Code usage, cloud hosting, API services and other third-party tools are not included unless explicitly mentioned.

Learn with TMLC Academy

TMLC Academy was selected for the Seed Spark Program — chosen from 140+ startups across South Asia by the Stanford Graduate School of Business. A formal validation of educational excellence and innovation.

Selected from 140+ startups across South Asia
1,000+ practitioners trained across industries
Enterprise AI and product engineering delivery experience
Active community of working technology professionals
FAQs

Before you enroll

No. The programme covers repository setup, project instructions, planning, permissions and development workflows from the beginning.

No. The product engineering workflow applies across Python, Java, JavaScript, TypeScript, .NET and other stacks. Live demonstrations use a defined reference stack to keep sessions consistent.

Yes — a separate Claude subscription is required and is not included in the programme fee. We'll guide you through setup before Session 01.

Yes. Every session is recorded and made available to all participants, so you can catch up if you miss a live session and revisit the walkthroughs while you build your capstone.

Approximately four to six hours per week in addition to the live sessions.

No. Programme fees are non-refundable once purchased, whether or not you attend the sessions or access the materials. Please raise every question before you enrol — message us on WhatsApp and we will answer honestly, including telling you if this programme is not the right fit for you.

Build an enterprise-grade product in six weeks.

Define the product, design the experience, choose the architecture, build the application, verify the implementation, resolve defects, review security and deploy. Cohort starts 24 October, 2026 — limited seats.

Enroll Now — ₹8,999 View Curriculum

Not ready yet? Ask us anything on WhatsApp.

Next cohort
24 October, 2026Enroll Now