Requirements

• Basic Knowledge of Cloud Computing: Students should have a general understanding of cloud computing concepts and experience using AWS services
• such as EC2
• S3
• or RDS
• Familiarity with Programming: A basic understanding of programming languages
• especially Python
• is recommended
• as some hands-on labs will involve coding for machine learning and AI tasks.
• Understanding of Machine Learning Fundamentals (Optional but Beneficial): While the course will cover the basics of machine learning
• having prior knowledge of key ML concepts (like algorithms
• training
• and model evaluation) will be helpful.
• AWS Account: Students will need an active AWS account to perform hands-on labs and practice with AWS AI and ML services.

Description

Who this course is for:

• Cloud Professionals Seeking to Expand into AI/ML: Cloud engineers
• architects
• and developers who are familiar with AWS and want to build a foundation in AI and machine learning technologies using AWS services.
• AI and Machine Learning Enthusiasts: Individuals interested in learning the fundamentals of AI and machine learning
• and how to apply these technologies in real-world scenarios using AWS.
• Aspiring Data Scientists and ML Engineers: Beginner data scientists and machine learning engineers looking to gain hands-on experience with AWS AI services
• such as Amazon SageMaker
• and learn how to build
• deploy
• and manage AI models on the cloud.
• Business Analysts and Decision Makers: Professionals who want to understand the capabilities of AI and ML on AWS in order to make informed decisions
• manage AI projects
• and leverage AI technologies to solve business problems.
• Students Preparing for AWS AI Certification: Anyone preparing for the AWS Certified AI Practitioner exam who needs structured learning materials
• practice labs
• and exam preparation resources to ensure success.
• Tech Professionals Looking to Upskill: IT professionals
• developers
• and cloud practitioners who want to enhance their career prospects by gaining AI and machine learning skills in a cloud environment.