AWS Certified AI Practitioner: Your Gateway to AI on AWS

Our AWS Certified AI Practitioner course is the perfect starting point for anyone who wants to understand and apply artificial intelligence (AI) and machine learning (ML) concepts in a real-world, cloud environment. This certification is a great option for non-technical professionals like business analysts and project managers, as well as for those new to IT and students. It validates your foundational knowledge of AI, ML, and especially Generative AI and how these technologies are used within the AWS Cloud.

Course Highlights

• Generative AI Focused: This course puts a strong emphasis on Generative AI, including concepts like Foundation Models, prompt engineering, and services like Amazon Bedrock. You will gain a clear understanding of how these cutting-edge technologies work and their practical business applications.

• Practical Use Cases: Beyond the theory, you’ll learn how to identify where AI and ML can add value to an organization. We will explore real-world use cases for various AWS AI services like Amazon Rekognition (for computer vision), Amazon Comprehend (for natural language processing), and Amazon Polly (for text-to-speech).

• Responsible AI: A key part of the curriculum is dedicated to Responsible AI, covering essential topics like ethics, bias, fairness, and governance. This ensures you not only understand the technology but also how to use it safely and ethically.

What You’ll Learn

• Fundamentals of AI and ML: Understand the core concepts of AI and machine learning, including the differences between supervised, unsupervised, and reinforcement learning. You’ll learn about the lifecycle of an ML project and common terminology.

• Fundamentals of Generative AI: Dive into the world of Generative AI, learning about Large Language Models (LLMs), the purpose of embeddings, and the lifecycle of a foundation model.

• Applications of Foundation Models: Explore how to design and optimize applications that use foundation models. This includes learning prompt engineering techniques to get the desired output from a model and understanding how to customize and evaluate models.

• Security, Compliance, and Governance: Learn to apply the principles of security and governance to AI solutions on AWS. You’ll understand the AWS Shared Responsibility Model in the context of AI and ML services.

Who This Course Is For

This course is an ideal starting point for:

• Students and Teenagers: This is a fantastic opportunity to gain a competitive edge by learning about the future of technology and earning a certification that shows your initiative and understanding of a high-growth field.

• Career Changers: Transition into a tech-adjacent role by gaining the vocabulary and foundational knowledge to collaborate with AI and ML teams.

• Business and Non-Technical Professionals: Learn the concepts and terminology needed to make informed decisions about AI adoption and to better understand the value that AI can bring to your business.

By completing our AWS Certified AI Practitioner course, you will possess a globally recognized credential that validates your understanding of the core concepts and applications of AI and ML on the world’s leading cloud platform. It’s the perfect launchpad for a career in the most exciting field in technology today.