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AWS Academy Machine Learning Foundation

This introductory course introduces students to the concepts and terminology of artificial intelligence (AI) and machine learning (ML). By the end of this course, students will be able to select and apply ML services to resolve business problems. They will also be able to label, build, train and deploy a custom ML model. This course contains approximately 40 hours of content delivered through lectures, hands on labs and project work.

Basic Requirement to Join the Programme

Students do not need to have any experience or qualification with Machine Learning. Basic requirement is Advanced Level.

Introduction to Machine Learning

  1. What is Machine Learning?
  2. Business Problems solved using Machine Learning
  3. Machine Learning Process
  4. Machine Learning Tools Overview
  5. Machine Learning Challenges

Implementing Machine Learning Solutions using AWS SageMaker

  1. Formulating Machine Learning Problems
  2. Collecting and Securing Data
  3. Evaluating your Data
  4. Feature Engineering
  5. Training
  6. Hosting and using Model
  7. Evaluating Accuracy of the Model
  8. Hyper parameter and Model Tuning

Introduction to Forecasting

  1. Forecasting Overview
  2. Processing Time Series Data
  3. Using Amazon Forest

Introduction to Computer Vision

  1. Image and Video Analysis
  2. Preparation Custom data for Computer Vision

Introduction to Natural Language Processing

  1. Overview of Natural Language Processing
  2. Natural Language Processing Managed Services

The audience for this course is anyone who is just beginning to learn about Machine Learning and looking for a professional growth.


Commencement Date:

40 Hours – Sunday: 8.30am to 12.30pm

Program fee can be paid to/transferred to Bank of Ceylon in favor of the SLIIT current A/C 0072821605 and the receipt should be emailed to  before the commencement of the Program. Please mention your NIC Number on the Bank Deposit Slip, when making the payment as it is required to cross check the payment.

Following are the required Payment Details:

  • Name of the Bank – Bank of Ceylon
  • Name of the Account – Sri Lanka Institute of Information Technology
  • Account Number - 0072821605
  • Branch – Kollupitiya
  • Branch Code - 034

Please include your Full Name, Home Address, NIC Number, Mobile Number, Email Address and Minimum Qualification when emailing the payment receipt.

For Further Details, Please Contact

Hotline :- 0773300066
General- +94 0117544802+94 11 7543184, +94 11 7543173



To confirm your seat please hand over your bank slip before the class commencement to avoid any disappointments.

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