The AWS Discovery Days – Machine Learning Basics course is designed to provide learners with a foundational understanding of machine learning (ML) concepts and how AWS services are used to solve complex business challenges. This introductory-level course highlights the key ML services and tools within AWS, empowering professionals to explore real-world use cases such as predictive analytics, recommendation systems, and automated decision-making.

This training is ideal for individuals with limited or no prior exposure to machine learning or AWS ML services. By the end of the course, learners will understand core ML terminology, workflows, and AWS services like Amazon SageMaker that support ML development and deployment.

The course covers key areas such as:

• Introduction to Machine Learning Concepts: Gain an understanding of basic ML principles, algorithms, and typical use cases.
• Overview of AWS ML Services: Explore how AWS provides ML capabilities through managed services such as Amazon SageMaker, AWS Lambda, and others.
• Data Storage and Analytics on AWS: Learn about AWS data storage services like Amazon S3, and analytical tools that support ML workflows.
• Introduction to Amazon SageMaker: Understand how SageMaker supports model building, training, deployment, and monitoring.
• Deploying ML Models: Get introduced to the basic steps for model deployment and performance tracking in AWS.
• Business Use Cases: Discover how machine learning drives value in different industries through recommendation engines, predictive analytics, and automation.
• ML Lifecycle on AWS: Familiarize yourself with the typical ML lifecycle on AWS – from data preparation to model deployment and maintenance.

Course Prerequisites

To ensure a productive learning experience, the following background knowledge is helpful:

• Basic understanding of machine learning concepts
• Some familiarity with AWS services and cloud computing
• Optional: Experience with Python programming and tools like Jupyter Notebook

This course is designed to be accessible to a wide audience, and no formal technical background is required to get started.

Target Audience

The AWS Discovery Days – Machine Learning Basics course is ideal for a diverse range of learners, including:

• Beginners interested in understanding machine learning
• IT professionals expanding into ML and AI domains
• AWS users seeking to explore ML capabilities on the platform
• Data Analysts and Data Scientists exploring AWS for ML
• Developers aiming to integrate ML into their applications
• Business professionals evaluating ML for decision-making
• IT decision-makers and strategists planning ML integration

Why Choose us

⭢ Live Online Training (Duration : 4 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the AWS Discovery Days – Machine Learning Basics course, learners will be able to:

• Describe the core concepts of machine learning and its real-world applications
• Identify key AWS services used in machine learning, including Amazon SageMaker
• Understand how data is stored, accessed, and analyzed on AWS for ML use cases
• Explore the steps involved in building, training, and deploying ML models
• Evaluate how ML can be applied across industries for business insights
• Understand the foundational elements of managing the ML lifecycle on AWS
• Recognize the benefits of cloud-based ML and automated decision-making