A hands-on program where you design, build and deploy real Agentic AI systems: RAG, LangGraph workflows, multi-agent architectures, guardrails, MCP / A2A, evaluation and production deployment. Built for architects, developers and engineers who learn by building it, not by watching slides.
46,000+ professionals trained by K21 Academy · Live interactive sessions · On-job support
Dates announced soon
Design agentic systems, choose the right patterns and defend every decision on the diagram.
Ship RAG, LangGraph and multi-agent systems with real tools, real guardrails and real evals.
Deploy, observe and secure agents in production: FastAPI, Docker, AWS, MCP and tracing.
Our coaches and alumni work at these companies
The core of the program comes first: GenAI and LLM foundations, prompt engineering, RAG, agents, LangGraph, multi-agent systems, context engineering, guardrails, MCP and production deployment. Tap a module under the roadmap to open its lessons and labs.
Before module 1: Prerequisite 1 · Cloud & AI/ML basicsPrerequisite 2 · Creating API keys
10 core modules · open any module to see every lesson and lab
Generative AI foundations, model types, tokenization and context windows.
14 topics · 3 labsTransformers, model selection and the RATCCI prompt framework, through to prompt caching.
11 topics · 4 labsEmbeddings, vector databases, prompt-injection defence and end-to-end RAG with citations.
20 topics · 6 labsLangChain, LCEL and tool-calling agents, ending in your first agentic project.
7 topics · 2 labsRouting, prompt chaining, parallel fan-out and human-in-the-loop memory.
6 topics · 5 labsSupervisor, orchestrator-worker, swarm and reflection patterns in real projects.
6 topics · 4 labsOpenAI Agents SDK, real-time voice agents and CrewAI crews.
4 topics · 3 labsContext windows, reusable skills, agent evals and RAG evaluation with RAGAS.
6 topics · 4 labsFour-layer guardrails, LangSmith and Langfuse tracing, MCP and agent-to-agent.
10 topics · 4 labsTake the projects to production, with a deployment guide and the capstone.
4 topics · 3 labsAgentic AI on AWS and Azure, included for every learner. The AI Agent Security bonus is covered further down the page.
Build agents on Amazon Bedrock and Strands.
2 topics · 4 labsBuild agents on Azure AI Foundry with Semantic Kernel, MCP and A2A.
2 topics · 10 labsSelf-paced beginner sessions, included for everyone. Take them before module 1 or alongside it.
Cloud concepts across AWS, Azure, Google Cloud and Oracle.
Core AWS services, pricing and billing controls.
Compute Engine, Cloud Storage, Cloud SQL, IAM, VPC and billing.
OCI compute, storage, Autonomous Database, IAM and networking.
AI fundamentals, LLMs and what makes AI agentic.
Data types, storage, ETL and cloud data services.
AWS AI Practitioner and Azure AI Fundamentals prep, built into the program
AI/ML on AWS, Amazon Bedrock and responsible AI: full exam prep.
6 topics · 2 labsAI workloads, Azure OpenAI and Microsoft Foundry: full exam prep.
6 topics · 2 labsA full Python track, from your first script to the libraries behind AI and ML.
Overview of Python, environment set-up and the basics.
Tuples, lists, dictionaries, sets, lambdas, exceptions and file I/O.
Classes, inheritance, encapsulation, polymorphism and decorators.
ML workflow, NumPy, Pandas, data cleaning and EDA.
Encoding, scaling, PCA and preprocessing pipelines.
Regression, classification and evaluation metrics.
Decision trees, bagging, boosting and tuning.
Clustering, dimensionality reduction and anomaly detection.
After the Python track you are ready to prepare for these two Python Institute exams.
Proves you can write and read basic Python: data types, control flow, functions and simple data structures. The first step after the Python track.
View the PCEP™ exam details →The next level: modules and packages, exceptions, strings, object-oriented programming and more advanced Python. Sit for it once you are building agents in Python.
View the PCAP™ exam details →Not toy scripts. Each one is built, deployed and documented the way enterprise teams actually ship. Tap a card to flip it and see the architecture.
The number one technical question from 500+ enterprise practitioners at our live sessions. Eight pillars that separate a demo agent from one your security team will actually approve and deploy, each with its own hands-on lab.
Direct attacks + indirect XPIA (cross-prompt injection)
Lab 1: Prompt injectionScoped per agent, not per user
Lab 2: Least privilegeNo hardcoded credentials, ever
Lab 3: Secrets managementValidate inputs and outputs in both directions
Lab 4: GuardrailsSandbox what your agent is allowed to run
Lab 5: Safe code executionTrace every agent action, end to end
Lab 6: ObservabilityPause before high-impact, irreversible actions
Lab 7: Human approvalAttack your agent before attackers do
Lab 8: Red teamingThis is not a video library. It is a job-outcome system.
Interactive cohort, not recorded videos. Real-time Q&A with Agentic AI experts, with recordings within 24 hours.
A production-grade portfolio: RAG agents, multi-agent systems, MCP integrations and guardrail stacks.
AWS AIF-C01 and Azure AI-901 prep built in, plus PCEP™ and PCAP™ after the Python track.
Exam prep, practice tests and guided revision for every certification.
Prompt injection defence, RBAC, managed identities, guardrails, isolation, audit logging, HITL gates and red-teaming.
Support continues after you're hired, through your first 90 days and beyond.
★ Trustpilot
★★★★★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.
★ Trustpilot
★★★★★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.
★ Trustpilot
★★★★★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.
★ Trustpilot
★★★★★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.
★ Trustpilot
★★★★★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.
★ Trustpilot
★★★★★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.
★ Trustpilot
★★★★★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!
★ Trustpilot
★★★★★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!
★ Trustpilot
★★★★★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.
Rated 4.6/5 on Trustpilot · 267+ reviews
More learners who landed roles through K21 programs
Verified reviews from Google and Trustpilot. Every profile links to the real person on LinkedIn.
The hands-on projects let me confidently describe an end-to-end AI solution in the interview. The interviewer was genuinely impressed.
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.
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.
I was deploying a RAG pipeline to a web app during the actual hiring process. The projects I built at K21 were exactly what the company needed.
The Azure AI/ML trainee landed the job after completing the program and building out her portfolio.
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.
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.
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.
Credits K21 Academy guidance for the preparation and is now moving on to the next Azure AI certification.
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.
Credits the structured training and support system for making the transition into a cloud architecture role.
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.
Both options include the Agentic AI & GenAI Mastery program. Add Job Prep for dedicated career support.
Pay monthly in installments. Choose your program above to see the payment details.
PAY IN FULL
Build production-ready Agentic AI skills with hands-on projects and certification preparation.
Secure your place in the next cohort.
Your decision is protected. Do the work, and if it doesn't deliver, you get your money back.
Did all that and still not satisfied? Full refund. Action-based, six months, no fine print.
Free videos rarely give you order, live help or finished projects. This program puts every topic in sequence, gives you 34 hands-on labs in the core modules alone, and ends with 7 production projects on GitHub that you can walk an interviewer through.
Good, you will move faster. Most of the program goes past chatbots: LangGraph workflow patterns, multi-agent architectures, context engineering, three-layer evaluation, guardrails, MCP / A2A and production deployment.
Sessions are live and interactive on weekends, with recordings available within 24 hours, so you can catch up if you miss one.
The core program is 10 modules of live, instructor-led sessions, plus the beginner, Python and bonus modules you can take at your own pace.
Roles such as Agentic AI Engineer, Forward Deployed AI Engineer, GenAI Platform Engineer, AI Infrastructure Architect and Applied AI Engineer.
Yes. A 6-month, action-based guarantee: complete the labs and projects, apply to at least 50 relevant roles, get your resume reviewed, and if it still doesn't deliver, you get a full refund.
Live and interactive, not recorded videos, with real-time Q&A. Recordings are available within 24 hours of each session.
LangChain, LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, FastMCP, Presidio, LangSmith, Langfuse, FAISS, ChromaDB, RAGAS, FastAPI, Docker and AWS EC2, plus Amazon Bedrock and Azure AI Foundry in the bonus modules.
Seven production-grade projects, all pushed to GitHub.
No. Beginner courses cover cloud, AI and data, and a full Python track is included as a bonus. When you finish it, you are ready to sit for the PCEP™ and PCAP™ Python certifications.
Join the next cohort and build the agents companies are hiring for.
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