A clear roadmap and hands-on learning path to the AI-103 exam. Plan, build, and deploy real Azure AI solutions along the way: generative AI apps, autonomous agents, MCP tools, computer vision, and document intelligence — all on Microsoft Foundry.
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I have been part of a few training programs by K21 Academy and honestly they are doing justice with what they are offering. They have a detailed program structure, professional trainers and their support system is excellent. I would recommend K21 Academy to all serious learners.
The interview guides the team provided have been invaluable study material and have been remarkably accurate in reflecting the types of questions asked during my interviews. It has made a real difference to my preparation and confidence.
Experienced that K21 is well technically positioned in the market. From a certification exam point of view they have experts who are available until your final day of exam and stretch themselves for your success, and they also have simulators available to build confidence for certification.
I highly appreciate K21 for their extraordinary efforts to strive for excellence and deliver beyond. Their teaching method and hands-on labs are high quality to land new jobs in the relevant field. I highly recommend them without any doubt!
The mock interview was extremely valuable in identifying gaps in my knowledge and helping me understand where I need to improve. I truly appreciate the time, effort, and constructive feedback from everyone on the team.
The support team was incredibly patient while helping me book my certification exam, explaining every step clearly, and generously shared helpful exam preparation guidance. The whole experience reflects how K21 genuinely cares about its learners' success from start to finish.
I had a wonderful consultation session with the team. They took the time to explain my roadmap and proper structure to follow with realistic timelines. What I appreciated was how personalized the guidance felt.
The session helped clarify many of my doubts and gave me a much clearer understanding of the learning roadmap and the steps I should focus on. As a working professional, I especially appreciated their practical guidance and encouragement.
Every domain on the official AI-103 skills-measured outline — planning & managing Azure AI solutions, generative AI & agentic solutions, computer vision, text analysis, and information extraction — delivered as 8 learning-ordered modules built around Microsoft Foundry.
Get oriented in Microsoft Foundry before you build anything: how AI agents work alongside human agents, how Foundry integrates with OpenAI, and what it takes to plan a real AI development project.
Move from theory to your first working build: stand up a generative AI chat app in Microsoft Foundry from the ground up.
Go deep on language: NLP fundamentals, Azure AI Language models, prompt engineering, and how to tune a generative AI model's performance.
Build real agents and keep them safe: agent basics, Semantic Kernel, autonomous and multimodal agents, guardrails, and deployment to Microsoft Teams and Copilot.
Connect agents to the outside world with MCP: explore Foundry IQ, wire up content understanding, and build agents that use MCP tools directly.
Scale from one agent to many: multi-agent solutions in Foundry, the Microsoft Agent Framework SDK, and the agent-to-agent (A2A) protocol for connecting remote agents.
Give your agents a voice: speech recognition, real-time translation, and Azure AI Search, culminating in a full Voice Live agent build.
The final domain stack: computer vision, face detection, video indexing, document intelligence, and a full RAG pipeline built on Content Understanding to close out the exam blueprint.
A selection of what you'll actually ship across the 8 modules — from your first chat app to multi-agent orchestration and a full RAG pipeline.
Get hands-on comparing model options before committing to a solution architecture.
Stand up your first working generative AI application in Microsoft Foundry.
Tune a generative AI model's performance using Azure AI Language tooling.
Build and deploy autonomous agents to Microsoft Teams and Copilot with guardrails in place.
Connect an agent to external MCP tools and integrate it with Foundry IQ.
Scale from one agent to many using the Microsoft Agent Framework SDK and the A2A protocol.
Give an agent a voice with real-time speech recognition and translation.
Close out the exam blueprint with a full retrieval-augmented generation and knowledge-mining pipeline.
Public reviews from K21 Academy learners, verified on Google and Trustpilot.
I am 3 weeks into the AI/ML program. The support is extremely awesome for labs, doubts and even resume updates. I am extremely impressed with all the live class teachers. The team creates a custom game plan / learning path for everyone. The real-world project experiences and hands-on lab experience is a key differentiator.
When I first started learning AI and Azure, I was quite confused about where to begin and what direction to take. The structured curriculum, supportive mentors, and proper guidance have given me a lot of clarity. I now feel more confident in my learning journey.
I decided to explore AI as part of a career change, but coming from a non-technical background made me hesitant to enroll in any course. The course is well-structured, catering to both beginners and advanced learners. The emphasis on hands-on experience truly enhances the learning process.
One of K21 Academy's biggest strengths is its AI curriculum. The content is exhaustive and serves as a one-stop shop for AI and Azure. Despite the significant time commitment, I haven't regretted it for a single moment.
Real K21 Academy learners on how they moved into high-paying AI, Cloud & Azure roles. Tap any video to play.
Not a video library. A hands-on, exam-focused system.
Instructor-led sessions with live demos and scenario-based problem solving, not passive videos. Recordings available after each session.
Build generative AI chat apps, autonomous agents, MCP integrations, multi-agent workflows, and full computer-vision / document-intelligence pipelines: real Foundry builds, not toy demos.
Full coverage of all 5 official skills-measured domains: planning & managing Azure AI solutions, implementing generative AI & agentic solutions, computer vision, text analysis, and information extraction.
Exam-style questions across every domain with detailed explanations, plus a timed practice exam that mirrors the real AI-103 test.
Architecture scenarios and walkthroughs — agents, RAG pipelines, multimodal apps — that teach you how to apply Foundry in production, not just what to memorize.
⚡ Next cohort filling fast limited seats available. Early applicants get priority placement.
See pricing and enroll for the next live cohort.
Complete the program the way it's designed, and you'll be ready for the AI-103 exam — or we keep working with you until you are.
Did all that and didn't pass? We'll keep coaching you through your next attempt. Action-based, no fine print.
K21 Academy learners who came in with a goal, shipped real Azure AI projects, and put their certifications to work.
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.
I've successfully landed a job as an AI Engineer. Worked hands-on with cloud AI services and foundation models, and later received a second offer as a Generative AI Engineer.
I have finally secured a contract-to-hire role as a Generative AI Engineer. I was deploying a RAG pipeline to a web app during the actual hiring process. The projects I built were exactly what the company needed.
Excited to share that I have successfully passed my AI certification exam! A big thank you to the K21 Academy team for their excellent training, well-structured course content, and continuous support.
Join the next cohort, build real Foundry-based agents and AI apps, and walk into the AI-103 exam ready.
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