Everyone is using AI. Few can build agents that ship.
Become an Agentic AI builder with Claude Code.
Claude Code for Agentic AI Mastery is a live, hands-on program for IT professionals: architects, developers, DevOps & SRE, QA, business analysts, administrators and technical, project & program managers. Go from Claude fundamentals to production-grade agentic systems across 13 core modules and ship a real capstone.
Knowing how to prompt a chatbot is no longer enough. Teams want people who can design, build, test and govern agents that run inside real delivery work. No prior AI or ML experience needed.
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Architects & tech leads
Design agentic systems and defend every choice on the diagram.
💻
Developers & engineers
Build with Claude Code, the Agent SDK and MCP, faster and to your standards.
⚙️
DevOps, SRE & MLOps
Wire agents into GitHub, CI/CD, containers and Kubernetes.
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QA & testing professionals
Generate tests, validate output and measure coverage with AI.
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Business analysts & admins
Turn BRDs, docs and diagrams into AI-assisted workflows.
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Project & program managers
Understand what agents can do, what they cost and how to govern them.
13 modules, from Claude fundamentals to production-grade agents.
Live, instructor-led sessions with a concept-and-demo hour followed by labs you build yourself. Tap a module under the roadmap to open its lessons and labs.
Scroll sideways to see the full roadmap →
FoundationsDesignBuildShip & govern
Claude Code for Agentic AI Mastery
13 core modules · open any module to see every lesson and lab
●M1
Foundations of Claude and Agentic AI
What Claude is, how agents fit into GenAI workflows and the SDLC.
5 topics
Module overview presentation
Overview of the Claude model family
What is Claude? LLMs explained for developers
Role of agents in GenAI workflows & the SDLC
Agentic loop lifecycle and correct termination
●M2
Setup Environment & Enterprise
Your first Claude API call and a working enterprise dev environment.
5 topics · 5 labs
Module overview presentation
Your first Claude API call
Claude Code: what it is
Setup for UI, backend & knowledge base
API / platform access, integrations & secrets
Lab 2.1: Create & set up a Claude account
Lab 2.2: Set up VS Code
Lab 2.3: Install Git, Node.js & Claude Code
Lab 2.4: Install the Chrome extension for Claude
Lab 2.5: Interactive workspace in a Claude Artifact
●M3
Prompt Engineering for Reliable Agents
Instructions, few-shot and escalation patterns that make agents predictable.
5 topics · 4 labs
Module overview presentation
Explicit criteria and instruction design
Few-shot prompting for consistency
Context optimization
Escalation patterns and reliable decision-making
Lab 3.1: Design and test basic prompts for Claude
Lab 3.2: Structure prompts for relevant answers
Lab 3.3: Implement context retention systems
Lab 3.4: Simulate edge cases & test robustness
●M4
Designing Agents for SDLC
Modular architecture, the Agent SDK, subagents and MCP patterns.
7 topics · 2 labs
Module overview presentation
Modular architecture & the Agent SDK
Task decomposition and chaining
Multi-agent orchestration
Tool distribution across agents
Writing tool descriptions
MCP patterns for real workflows
Lab 4.1: Task decomposition, plan & implementation
Lab 4.2: Creating multiple subagents with Claude
●M5
AI-Powered Code Gen & Engineering Standards
Claude Code, CLAUDE.md, Skills, Plugins and full-stack generation.
7 topics · 7 labs
Backend and frontend standards
API design (REST / GraphQL)
Tool use for reliable structured output
CLAUDE.md configuration hierarchy
Custom slash commands and Skills
Plan mode and iterative refinement
Structured error responses
Lab 5.1: Working with Claude Skills
Lab 5.2: Working with Claude Plugins
Lab 5.3: Calorie Tracker app with Claude Code
Lab 5.4: Generate backend API code (CRUD, Auth)
Lab 5.5: Generate frontend components & UI
Lab 5.6: Generate and design REST / GraphQL APIs
Lab 5.7: Tune Claude for context assistance
●M6
UI and Experience Generation with AI
Design systems, Figma and HTML scaffolding with accessibility built in.
3 topics · 2 labs
Figma and HTML integration
Design systems and AI-driven scaffolding
Accessibility and responsiveness constraints
Lab 6.1: Generate a UI design system in Figma
Lab 6.2: Generate HTML/CSS from a design
●M7
Automated Testing and Quality Engineering
Unit and integration tests, validation-retry loops and coverage.
4 topics · 3 labs
Unit & integration test generation
Validation-retry loops
Multi-pass review strategies
Coverage and quality metrics
Lab 7.1: Generate unit tests & validate correctness
Lab 7.2: Integration tests across multiple systems
Lab 7.3: Assess coverage and generate reports
●M8
AI-Driven Documentation & Visualization
Mermaid diagrams, tech docs and BRD-to-requirement traceability.
3 topics · 3 labs
Mermaid and swimlane diagrams
Technical documentation generation
BRD to requirement traceability
Lab 8.1: Create flowcharts / Mermaid diagrams
Lab 8.2: Automatically generate tech docs
Lab 8.3: Generate a Business Requirements Document
●M9
Enterprise Integration & DevOps Alignment
Rally, GitHub, CI/CD and MCP server configuration.
4 topics · 3 labs
Rally integration & Excel export
GitHub structure, commit standards
CI/CD integration and session isolation
MCP server configuration
Lab 9.1: Integrate Rally with Claude
Lab 9.2: Integrate Claude with GitHub
Lab 9.3: Design a CI/CD pipeline using Claude
●M10
Debugging, Optimization & Improvement
Troubleshooting, context degradation, performance and feedback loops.
4 topics · 3 labs
Troubleshooting common issues
Context degradation in extended sessions
Performance tuning
Feedback loops
Lab 10.1: Introduce bugs to test Claude
Lab 10.2: Optimize code for memory & speed
Lab 10.3: Implement feedback loops
●M11
Governance, Security & Responsible AI
Hooks, human review, provenance and audit trails a security team will approve.
4 topics · 3 labs
Coding standards & ethical AI practices
Hooks and programmatic enforcement
Human review, provenance
Version control and audit trails
Lab 11.1: Implement a security / compliance checklist
Lab 11.2: Version control tracking for AI models
Lab 11.3: Test outputs for bias and add filters
●M12
Labs & Real-World Agentic Workflows
Custom agents for niche workflows, built on a real airline pilot.
3 topics · 2 labs
IAG Booking (Iberia pilot) overview
Custom agent creation for niche workflows
Collaborative development scenarios
Lab 12.1: Design real-world agentic workflows
Lab 12.2: Hands-on multi-agent workflow
●M13
Wrap-Up and Next Steps
Q&A, feedback and where to go next.
2 topics
Q&A and feedback collection
Next steps after the program
Bonus modules
Included for every learner
●B1Bonus 1
Git & GitHub Actions Training
Version control and CI workflows every agent builder needs.
8 topics · 3 labs
Git introduction, installation & setup
Working with Git: common terms & commands
Git workflows
Create CI workflows with GitHub Actions
Manage and debug workflows
Customize workflows with environment variables
Cache, share and debug workflows
Automate GitHub using GitHub Script
Lab: Git & GitHub installation & setup
Lab: Create a CI workflow on GitHub
Lab: Using GitHub Script in GitHub Actions
●B2Bonus 2
Claude + AWS Labs
Run Claude and Claude Code on Amazon Bedrock and the AWS platform.
0 topics · 4 labs
Lab: Automate AWS diagrams using Kiro AI
Lab: Claude Code on Amazon Bedrock
Lab: Claude Design Lab
Lab: Claude on the AWS Platform
●B3Bonus 3
Containers & Kubernetes for AI Deployment
From Docker basics to deploying containerized AI apps and agents on Kubernetes.
A real-world capstone, plus the builds that get you there.
Every card is something you build in the labs. Tap a card to flip it and see the architecture.
Certification prep kit · Self-study
Want to sit the Claude certification exam? The prep kit is yours.
The certification is not part of the live program. If you decide to sit the Claude Certified Architect, Foundations exam, you get a self-study prep kit: 8 modules, 25 labs and 200+ practice questions to work through at your own pace.
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Self-study, at your own pace. The kit is optional and is not covered in the live sessions. The exam and its fee are separate and are not included.
●M1Self-study
AI Foundations
What AI really is, LLMs, and the Claude product family.
7 topics
What AI actually is
Machine learning, deep learning & generative AI
Large language models
Claude 101
How companies are using Claude today
The Claude product family: Haiku, Sonnet, Opus
Anthropic's safety-first approach and what it means for architects
●M2Self-study
Claude API
The Claude API end to end: messages, streaming, tokens, caching and batching.
16 topics
Understanding the Claude API & API responses
Creating Claude API keys
The three message roles: system, user, assistant
Using .env to load the API key
Clean output (response JSON)
Using system prompts
Multi-turn conversations
Streaming responses
Temperature and max tokens
Image input
stop_reason: the field that drives everything agentic
Stop sequences
Tokens & context windows
Prompt caching
Message Batches API: processing at scale
Error handling, retries, and rate limits
●M3Self-study
Agentic Architecture & Orchestration
From a single API call to multi-agent systems: loops, hub-and-spoke, hooks and escalation.
10 topics · 5 labs
From API call to agentic loop
stop_reason as loop controller
The Agent SDK
Why single agents fail at scale
Hub-and-spoke architecture
Context isolation for subagents
Hooks: PreToolUse and PostToolUse
Hooks vs prompts: deterministic vs probabilistic
Valid escalation triggers
Prompt chaining vs dynamic adaptive decomposition
Lab: Build a perceive, reason, act, observe loop for a single tool-using agent
Lab: Decompose a goal into sequential and parallel (fan-out / fan-in) pipelines
Lab: Build a hub-and-spoke orchestrator coordinating three subagents
Lab: Add retry logic, fallback chains, and a human-escalation trigger
Lab: Design a programmatic validation layer that gates a high-stakes action
●M4Self-study
Tool Design & MCP Integration
Design tools Claude uses reliably and build MCP servers.
Escalation patterns: retry, reroute, human review, fail gracefully
Lab: Design a persistent fact block and trim strategy for long sessions
Lab: Build a handoff payload and propagation contract between two agents
Lab: Implement the scratchpad pattern as a durable memory slot
Lab: Route low-confidence output through a review queue
Lab: Add claim-to-source mappings and conflict annotation
●M8Self-study
Practice Questions & Simulator
200+ exam-style questions and a timed practice simulator.
5 topics
200+ exam-style questions with explanations
Timed practice simulator
Domain-by-domain revision
Scenario walkthroughs
Readiness checkpoints
What the program includes
What you walk away with.
Not a video library. A working agentic system and the artifacts a hiring manager can open.
🎥
48+ hours of live training
Instructor-led sessions with real-time Q&A, and recordings after every session.
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A working capstone
The Airline Booking System rewrite: real agentic architecture you can demo and walk through.
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Agents, MCP & workflows
Subagents, MCP integrations, Claude Code Skills, hooks and CI/CD pipelines. Real artifacts, not toy snippets.
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Docs & diagrams
Mermaid diagrams, technical docs and BRDs generated and traced with Claude.
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Governance playbook
Security checklists, bias filters, audit trails and human-review patterns for responsible AI.
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Certification prep kit
Self-study modules, labs and 200+ practice questions, if you choose to sit the exam.
Verified reviews
What our learners say.
★ Trustpilot
★★★★★
K21 Academy: The Real Deal for Tech Leaders
As a VP of Software Engineering making a deliberate career transition into AI/ML and Cloud leadership, I've been extremely selective about where I invest my time and money. Enrolling in K21 Academy's program has been one of the best professional decisions I've made this year. I've completed four courses and passed three Microsoft certification exams: AI-900, AZ-900, and AB-731.
Marcos OliveiraVP of Software Engineering · 21 May
★ Trustpilot
★★★★★
Recommendation of K21 Academy
Very pleased with K21 Academy thus far. The instructor of the Agentic AI Mastery program is very knowledgeable and a very good communicator. The team in the Interview/Job Preparation area are extremely helpful in assisting with resume modification, LinkedIn profile optimization, and job application preparation. I highly recommend K21 Academy.
Dale McAnally5 Jul
★ Trustpilot
★★★★★
Best Learning Avenue
I have been part of a few training programs by K21 Academy and they are doing justice with what they are offering. They have a detailed program structure, professional trainers and their support system is excellent. The learning portal SKOOL is the real differentiator. I would recommend K21 Academy to all serious learners.
Chandan Raj8 Jun
★ Trustpilot
★★★★★
Excellent guidance and support throughout
I wanted to express my special appreciation to Atisha and the team for their constant support throughout my job search and interview preparation journey. The interview guides have been invaluable study material and remarkably accurate in reflecting the types of questions asked during my interviews. It has made a real difference to my preparation and confidence.
Reny4 Jul
★ Trustpilot
★★★★★
Great experience learning AI/ML and Cloud
I had a great experience learning AI/ML and Cloud Engineering concepts with K21 Academy. The training was very practical and helped me strengthen my skills in Python, cloud technologies, data pipelines, and real-world projects. Career support included resume building, LinkedIn optimization, interview preparation. Highly recommend.
Sadia14 May
★ Trustpilot
★★★★★
Mock interview gave me real clarity
Thank you for arranging the mock interview and for helping me better understand what the company is looking for. The discussion gave me much greater clarity about the role and its expectations. The mock interview was extremely valuable in identifying gaps in my knowledge and helping me understand where I need to improve.
Shanti Mandal20 Jul
★ Trustpilot
★★★★★
I was LOST and then was FOUND
I started my first program yesterday and was LOST on the first day. Sahid made sure that I regained my bearings and put me on the right track. I was surprised at the dedication and additional time he was willing to take. It is truly AH-MAZING to learn from instructors who are EXCITED about the content. So far, So GREAT!
Anissa Webb19 Jul
★ Trustpilot
★★★★★
Wonderful consultation with realistic timelines
I had a wonderful consultation session with Shahid. He took his time to explain my roadmap and proper structure to follow with realistic timelines. What I appreciated was how personalized the guidance felt - he understood exactly where I was in my journey and what I needed to do next. Keep the good work up!
Akash Tiwari18 Jul
★ Trustpilot
★★★★★
Patient, knowledgeable team with a clear roadmap
I had a great experience with Sahid, Gracy and the team. They were very patient, knowledgeable, and took the time to address all my questions. The session helped clarify many of my doubts and gave me a much clearer understanding of the learning roadmap. As a working professional, I especially appreciated their practical guidance.
Oves Khan14 Jul
Rated 4.6/5 on Trustpilot · 267+ reviews
Hear it directly from them
Video stories from K21 learners.
Real K21 Academy learners on how they moved into high-paying AI, Data & Cloud roles.
More learners who landed roles through K21 programs
✓Devesh Azure Solutions Architect✓Poulami Beginner to Cloud Architect✓Kennedy Senior Technical Advisor (UK)✓SJ Salary doubled, husband hired too✓Shouvik Senior Enterprise Architect✓Meghana Career gap to working with BT✓Kwame Job offer, relocated to USA✓Rajalakshmi Career gap to job at Infosys✓Winifred Job offer in Canada✓Bezzel Cloud Ops Engineer
In their own words
From our learners who landed the role.
Verified reviews from Google and Trustpilot. Every profile links to the real person on LinkedIn.
“I'm thrilled to share that I've recently landed a role as a Generative AI Engineer.”
The hands-on projects let me confidently describe an end-to-end AI solution in the interview. The interviewer was genuinely impressed.
S
SteveGenerative AI Engineer✓ GOOGLE REVIEW VERIFIED
“I've successfully landed a job as an AI Engineer.”
Worked hands-on with Azure AI services, Azure AI Foundry, and OpenAI. Later received a second offer as a Generative AI Engineer. K21 gave me the skills and confidence to choose.
DD
Debasish DashAI Engineer to Generative AI Engineer✓ GOOGLE REVIEW VERIFIED
“Enrolling in K21 Academy's AI/ML program has been one of the best professional decisions I've made this year.”
As a VP of Software Engineering transitioning into AI/ML, I completed four courses and passed three Microsoft certification exams: AI-900, AZ-900, and AB-731. The hands-on projects on Azure gave me practical experience that actually shows up in interviews.
MO
Marcos OliveiraVP of Software Engineering✓ TRUSTPILOT REVIEW VERIFIED
“K21 Academy is a great professional institution to meet your AI/ML career aspirations.”
The right training, courseware, job application support, and placement guidance to help students achieve their goals. I particularly like the quality and depth of the faculty's knowledge.
SS
Sanjeev SaksenaAI/ML Career Transition✓ GOOGLE REVIEW VERIFIED
“The support is extremely awesome for labs, doubts and even resume updates.”
I am 3 weeks into the AI/ML program. The team creates a custom game plan and learning path for everyone. The real-world project experiences and hands-on lab experience is a key differentiator.
GP
Gaj ParanjapeAI/ML Program, USA✓ TRUSTPILOT REVIEW VERIFIED
“I joined K21 Academy at a time when I felt stuck and unsure about my career direction.”
Connecting with Shahid was a turning point. He gave me clarity, practical guidance, and renewed confidence. The AI curriculum is exhaustive and serves as a one-stop shop for AI and ML.
GB
Gunita BajajFull Stack AI Program, USA✓ TRUSTPILOT REVIEW VERIFIED
“I decided to explore AI as part of a career change, but coming from a non-technical background made me hesitant.”
I joined K21 Academy and I'm really glad I did. The course is well-structured, catering to both beginners and advanced learners. The emphasis on hands-on experience truly enhances the learning process.
MV
Monica VarryAI Career Changer✓ GOOGLE REVIEW VERIFIED
“The structured curriculum, supportive mentors, and proper guidance have given me a lot of clarity.”
When I first started learning AI and Azure, I was quite confused about where to begin. K21's structured approach gave me direction and I now feel more confident in my learning journey.
Complete the program the way it's designed, and if you're not satisfied within six months, we'll refund you. Applies to both plans.
Attend the live sessions and complete the labs
Build and present the capstone project
Ask for support when you need it, don't go silent
Did all that within six months and still not satisfied? Full refund. Action-based, no fine print.
Common questions
Before you enroll.
Who is this program for?
IT professionals who want to lead with AI: architects, developers, DevOps & SRE, MLOps, DBAs, QA and testing, business analysts, administrators, and technical, project and program managers.
Do I need prior AI, ML or cloud experience?
No. The beginner courses (AI/ML, Cloud, Data and the AWS, Azure and Google Cloud tours) and the bonus Python track get you up to speed before the first live session.
Is a certification included?
The program itself does not include an exam or exam voucher. You get a certification prep kit for the Claude Certified Architect, Foundations exam: 8 self-study modules, labs and 200+ practice questions you can work through on your own if you decide to sit the exam. The exam fee is paid separately.
How long is the program?
The core program is 13 modules of live, instructor-led training. The beginner courses, Python track, bonus modules and certification prep kit are self-paced, with one year of access to all recordings and labs.
Is the training live or recorded?
Live and instructor-led, so you can ask questions and build alongside the trainer. Recordings are available after each session.
Is it hands-on or just theory?
Very hands-on. The core program has 37 labs where you build agent loops, subagents, MCP integrations, Claude Code workflows, tests, docs and CI/CD pipelines, plus a capstone that combines 11 lab modules into one build.
What is the difference between the two plans?
Both include the full program, beginner courses, bonus modules, the certification prep kit and the capstone. Upskill + Job Prep adds resume and LinkedIn rebuilds, a targeted job search, mock interviews, negotiation guidance and on-job support.
Do you guarantee a job?
No one can honestly guarantee a job. Job Prep gives you the resume, visibility and interview practice that turn skills into offers. Outcomes still depend on your effort, prior experience and the market.
Can I pay in installments?
Yes. Upskill is 3 monthly payments of $797, and Upskill + Job Prep is 4 monthly payments of $1,097. Switch to Pay in Installments in the pricing section to see the details.
Can my employer sponsor a team?
Yes. Use the Contact Us button and our team will share team pricing and invoicing options.
Ready to build agents that ship?
Join the next cohort and build real agentic systems with Claude and Claude Code.
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