AWS CloudUp - AI Practitioner

How to register

The program is priced at $275 (excluding GST), and you can register by following these steps. If you are a referred participant, follow this link to register.

If you have any issues, contact us at [email protected].

Why join this program?

• Learn practical AI and ML techniques you can apply immediately.

• Join a supportive community of like-minded professionals.

• Study at your own pace with short online modules and expert-led Q&A sessions.

• Prepare for the AWS Certified AI Practitioner exam.

Who should join CloudUp?

This program is ideal for:

• IT professionals wanting to develop AI skills

• Business analysts wanting to incorporate AI into operations

• Developers and engineers expanding their AWS skillset in AI

• Anyone aiming for the AWS AI Practitioner certification

• Busy professionals seeking flexible learning option

There is no pre-requisite knowledge required to join.

Exam and certification

You’ll prepare for the AWS Certified AI Practitioner (AIF-C01) exam, which covers AI, machine learning, and generative AI concepts. Passing this exam boosts your career potential and positions you for higher earnings.

Exam Details:

• Duration: 120 minutes

• Questions: 85

• Provider: Pearson VUE

Time commitment required
While all events are optional, you should plan for approximately 2-3 hours per week, including self-paced modules and Q&A sessions, to ensure you’re ready for the exam.

What you'll learn

In this 8-week program, you'll build a strong foundation in AI and machine learning, covering key concepts and practical applications through AWS tools. Here's an overview of what you'll learn:

• Understand the core concepts of machine learning and AI, including data processing and model training

• Explore real-world AI applications across industries, helping you identify opportunities to apply AI in your role

• Learn how to design, build, and deploy machine learning models using AWS tools like Amazon SageMaker

• Understand how to develop and integrate generative AI solutions in various use cases

• Master the essentials of crafting effective prompts for AI systems to achieve desired outcomes

• Learn techniques to fine-tune foundation models for enhanced AI performance

• Get started with Amazon Bedrock to build and scale generative AI applications

• Gain an understanding of ethical AI development, including fairness, transparency, and avoiding bias

• Ensure AI solutions are secure, compliant with regulations, and follow governance best practices

• Prepare for the certification exam with comprehensive review materials and practice questions