Want to Future-Proof Your Cloud Career?
Learn In-Demand AI Skills. Build AI Applications and AI Agents . Become an AWS Cloud AI Developer !
- No Credit Card Required
- 40 Hours of Video Lessons
- Hands-On Learning With 11 Practical Projects
Here’s What Our Students Are Saying…
I'm impressed how the learning experience at Educloud Academy has been exceptional. The real-world examples and use cases they provide truly reinforce the concepts and make easy you think about how apply this in a real scenario. The interface is intuitive and user-friendly and the content is very curated, making the self-paced labs a great way to deeply understand the topics.
Leandro Cavalcante Damascena
Developer Acceleration @awscloud
Educloud is a great learning resource that helps learners escape "tutorial hell" when learning about serverless development and related technologies. It enables individuals to gain the necessary skills required for building a complete project all at once. Additionally it serves as a reference to quickly understand how AWS services and other technologies can be integrated into real-world scenarios.
Charles Soprinye Allison
AWS Community Builder
The courses are always up to date, easy to navigate and each step is explained in detail. The platform is my one-stop shop for my cloud and serverless upskilling needs.
Kevin Tuei
AWS Community Builder
AWS is a big space, with lots of different ways to build applications. Where most tutorials and workshops are over-inflated, EduCloud differentiates by offering practical guidance and real-world solutions!
Michael Liendo
Sr. Developer Advocate @ AWS | speaker | writer | teacher
The tutorials are not just informative, they're downright enlightening! They have detailed explanations on hands-on projects and are a great resource to hone your serverless skills and beef up your portfolio.
Steve M.
Cloud Architect
I'm in the early stages of my AWS cloud journey, and Educloud Academy has been the perfect platform to build a solid foundation. The content is beginner friendly, hands-on, and easy to follow. I really like how the workshops are structured into beginner, intermediate, and advanced levels, making it easy to grow step by step. The real world scenarios and clear explanations have helped me apply what I learn with confidence. Overall, Educloud Academy has kept me motivated and is a great choice for anyone looking to build practical AWS skills in a structured way.
Ruth Kyalo
Junior DevOps Engineer
Educloud Academy has been a game-changer in my journey to mastering cloud computing. The hands-on serverless projects, designed by industry experts, have provided me with practical experience that is directly applicable to real-world scenarios. The one-on-one mentorship and interactive exercises have significantly enhanced my learning experience, making complex concepts easier to grasp. The supportive community and expert instructors are always available to answer questions and provide guidance. With new courses added every month and live coding sessions that challenge my skills, Educloud Academy is an invaluable resource for anyone serious about advancing their cloud knowledge. I highly recommend it to both beginners and experienced developers looking to stay ahead in the ever-evolving field of technology.
Nkwenti Fon
Solutions Architect | Serverless Developer
As a 3rd-year Computer Engineering student currently working as a Junior Software Developer at a company focused on AWS Cloud, Educloud Academy helped me build a strong foundation in the AWS ecosystem. The hands-on content is both practical and easy to follow, allowing me to apply what I learn directly in my professional work. The platform has been a great boost to both my technical development and career motivation.
Mert Karahan
Software Developer
How Educloud Academy Works
Sign up.
There’s a 7-day free trial. No credit card required!
Choose the AWS Cloud AI Developer learning path.
It has 21 lessons, 30 hours of video in total.
Start learning in-demand AI skills.
This is a self-guided learning path so you can go through the lessons at your own pace.
Build your cloud portfolio!
This learning path includes 14 hands-on projects that teach practical, real-world skills.
What’s Included in Our
AWS Cloud AI Developer Learning Path
| Lesson | Description |
|---|---|
| Lesson 1 | Introduction to Cloud Computing With Amazon Web Services |
| Lesson 2 | Introduction to Infrastructure As Code |
| Lesson 3 | Building a GraphQL Weather API With AWS CDK |
| Lesson 4 | Building an Ecommerce REST API With CDK and TypeScript |
| Lesson 5 | Building Event-Driven Applications With AWS SAM and Python |
| Lesson 6 | Building a Group Chat Serverless Application |
| Lesson 7 | Unit Testing and CI/CD Deployment With Jest, GitHub and AWS CodePipeline |
| Lesson 8 | Moderating Conversations in a Group Chat Application With AWS Bedrock Guardrails |
| Lesson 9 | Introduction to MCP. Building a Stripe MCP Server. |
| Lesson 10 | MCP Powered Agent With Strands and MindsDB |
| Lesson 11 | Building an Agentic Workflow for Ordering Groceries Online Using AWS Bedrock, Stripe, StepFunctions, CDK and Python |
| Lesson 12 | Building an Interior Design Social App With Generative AI |
| Lesson 13 | Building a Multi-Agent Collaborator Application With AWS Bedrock, Pinecone, AWS CDK and Python |
| Lesson 14 | Building a Multimodal Agentic RAG Pipeline With Strands, CDK, Transcribe, Textract, StepFunctions and SQS |
| Lesson 15 | Building Realtime AI Agents With AWS CDK, Strands, AWS Eventbridge and AppSync |
| Lesson 16 | Building AI Applications With Strands And Neo4J (Coming in September 2025) |
| Lesson 17 | Building an AI Email Application With AWS Agentcore, Strands, AWS SES, AWS Route53 and Python (Coming in September 2025) |
| Lesson 18 | Building a GitHub Code Review Agent With AWS Bedrock, AWS CDK, Python and Slack |
| Lesson 19 | Mastering AI Agents With Amazon Bedrock, AWS CDK and Python |
| Lesson 20 | Building a Multi-Agent Social Media Post Automation Platform With AWS Agentcore, Strands and Serverless Services (Coming in September 2025) |
| Lesson 21 | Building a Personalized Short-Form Video Generation Agent (Coming in August 2025) |
Meet Your Instructors
Ndimofor Ateh Rosius
With more than 12 years of hands-on experience in mobile and web development,
Ndimofor Ateh Rosius is a seasoned Software Engineer and recognized AWS
Serverless Hero.
He has architected and delivered scalable, high-performance applications,
leveraging AWS Lambda, DynamoDB, AppSync, and Amplify, to power real-time
data processing, e-commerce, and AI-driven features for companies like Serverless
Guru and Relevant Systems.
As an AWS Community Leader, Ndimofor combines deep technical expertise with
practical, project-based teaching, guiding students through end-to-end Cloud
Architectures and real-world deployments.
AWS Serverless Hero
AWS Community Leader
Expert in Cloud Architectures & Deployments
Benoît Bouré
Benoît Bouré is a software developer and cloud architect with more than 20 years of
experience in the tech industry and a deep love for serverless technology.
He is an AWS Community Builder who actively contributes and shares his expertise.
You can often hear him promoting AWS AppSync, one of his favorite AWS services.
He is also the creator of GraphBolt, a tool that helps developers streamline their
AWS AppSync experience.
In his free time, Benoît likes to work on Open Source projects and write about
software engineering and cloud architecture on his blog.
AWS Community Builder
Creator of GraphBolt- Writes about Cloud Architecture & Software Engineering
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Frequently Asked Questions
How much does an Educloud Academy subscription cost?
We have a 7-day free trial. No credit card required!
After that, it’s $30/month.
Can I learn at my own pace or is there a class schedule with project deadlines?
You can learn at your own pace.
There’s no class schedule or project deadlines.
What are the prerequisites for the AWS Cloud AI Developer learning path?
The only prerequisite is that you need to be familiar with either Python or TypeScript.
How long does it take to complete the AWS Cloud AI Developer learning path?
There are 30 hours of video lessons.
However, you also need to account for the time spent reviewing them and working on the projects.
It varies from student to student but you can probably expect to complete this learning path in 60 hours or less.
How many projects will I add to my cloud portfolio by completing the AWS Cloud AI Developer learning path?
By the time you complete our AWS Cloud AI Developer learning path, you will have built 14 projects that you can add to your cloud portfolio.
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