Course curriculum

  • 1
    Welcome to the Future!
  • 2
    Getting Started
  • 3
    Section 1 - Introduction to Serverless
  • 4
    Project 1 - Building an E-Commerce App - Part 1
  • 5
    Building an E-Commerce App - Part 2
  • 6
    Section 2 - Machine Learning
  • A message from Cyril Bandolo - Machine Learning Hero Frequently Asked Questions
  • The Projects we will build AWS Account and Budget AWS Programmatic access user (Mac) Install Typescript, Python, VS Code (Windows) Install Typescript, Python, VS Code Some Helpful Resources
  • What is Serverless 3 Serverless Success Stories Benefits of Serverless Knowledge check Related Concepts Cloud Providers AWS Serverless Services Knowledge Check Programming Languages Infrastructure as Code Testing Knowledge Check CI/CD Basic Serverless Architecture Cons of Serverless Future of Serverless Section Review
  • Introduction to Project1 Project1 - Why Serverless Framework Project1 - Why TypeScript Project1 - Project Folder Setup Project1 - Add DynamoDB resource Project1 - Environment Variables Project1 - Create getItems Lambda 1 Project1 - Create getItems Lambda 2 Project1 - Create Some Seed Data Project1 - Create getItem Lambda Project1 - Create Cognito Resources Project1 - Create Signup and Sign-in Lambdas Project1 - Create createOrder Lambda Project1 - Create getOrder Lambda Project1 - Create getOrders Lambda Half Way Survey - Project 1 part-1
  • Project1 - Create streamManager function Project1 - Create an ebOrderPlacedNotification Lambda Project1 - Create an ebOrderPlacedWarehouse function Project1 - Create a ebOrderPackedNotification function Project1 - Create a ebOrderPackedDeliveryService function Project1 - Create a deliveryServiceDelivered lambda Project1 - Create an ebOrderDelivered lambda Project1 - Upgrading Node Version Project1 - Setup jest and sls-jest for testing Project1 - Write Unit tests Project1 - Write Integration test 1 Project1 - Write Integration tests 2 Project1 - Write end-to-end tests Project1 - Deploy BE with Github actions 1 Project1 - Deploy BE with Github actions 2 Project1 - Adding Front End code Project1 - Deploy app with Github actions Conclusion
  • Welcome to Section 2 What is Machine Learning ML vs Traditional Programming The ML Lifecycle The ML Learning Tasks GenAI Vs ML Why ML has a Strong Trend Now Most Popular ML/AI Frameworks What is AWS Sagemaker? Sagemaker Features Popular Inbuilt Algos 3 ML Success Stories When ML is Not Appropriate Future of ML What's Next?

Serverless Machine Learning

Gain lifetime access to this amazing course offered by Cyril Bandolo. Discover the essentials of machine learning, delve into serverless architectures, and learn how to combine these two powerful fields.

Is This Course Right For You?

Are your fascinated by the world of machine learning but unsure how to leverage it in a serverless architecture? This course is designed for both beginners and experienced professionals who want to dive into the integration of machine learning with serverless technology.

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Frequently Asked Questions

  1. Do I need prior experience in machine learning or serverless technology?
    • No! This course is designed to accommodate learners at different levels, including beginners.
  2. How long do I have access to the course materials?
    • You'll have lifetime access to the course materials, so you can learn at your own pace.
  3. Is there practical, hands-on learning in this course?
    • Absolutely! You'll work on real-world projects and case studies to apply what you've learned.
  4. What support will I receive during the course?
    • We offer comprehensive support through our online forums and direct contact with the instructor.