Description

Discover the future of Artificial Intelligence (AI) and Machine Learning (ML) with AWS. In this course, designed for the AWS Certified AI Practitioner exam, you will learn the fundamentals of artificial intelligence, machine learning, and deep learning, applied through AWS’s advanced services. This course is focused on equipping you with the tools needed to understand, implement, and leverage AI solutions in the real world.

Throughout the modules, you will explore essential concepts, practical use cases, and best practices for working with advanced technologies like generative AI. Additionally, we will delve into the importance of applying AI responsibly and securely, following industry standards.

This is NOT a boring course of voice and PowerPoint lectures. Here I will discuss and present the material in an interactive and engaging style that will keep you interested and make it easier to understand. Check out the free videos available and you will see the difference!

What will you learn?

1. Fundamentals of Artificial Intelligence and Machine Learning (ML)
   You will understand the basics of AI and ML, including neural networks, computer vision, and natural language processing (NLP). We will examine the key differences between artificial intelligence, machine learning, and deep learning, and learn how to identify when it’s appropriate to apply these technologies.
   
2. Generative Artificial Intelligence
   You will discover how generative AI can create new content, such as text, images, and audio, from existing data. We’ll see examples of generative models and their practical applications across industries, such as creative content generation, software development, and much more.
   
3. Foundation Models and Fine-Tuning
   You will learn about pre-trained models and how to choose the right one for different scenarios. Additionally, you will explore fine-tuning techniques to optimize model performance and how to customize them for specific use cases.
   
4. Responsible Artificial Intelligence
   You will understand the ethical principles of AI, including transparency, privacy, and bias mitigation. This module will also cover the tools AWS offers to ensure models are secure, explainable, and adhere to responsibility standards.
   
5. Security, Compliance, and Governance for AI Solutions
   You will learn how to implement governance and security strategies for AI solutions, ensuring systems meet regulatory and best practice standards. This includes handling data securely and protecting models from potential vulnerabilities.
   

Course Contents and Domain Distribution

The course is aligned with the five key domains of the AWS Certified AI Practitioner exam, providing a solid foundation to help you achieve certification. These domains are distributed as follows:

• Domain 1: Fundamentals of AI and ML (20% of scored content)
• Domain 2: Fundamentals of Generative AI (24% of scored content)
• Domain 3: Applications of Foundation Models (28% of scored content)
• Domain 4: Guidelines for Responsible AI (14% of scored content)
• Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)

Who is this course for?

This course is designed for anyone looking to gain a solid understanding of the principles of artificial intelligence and machine learning with AWS. You don’t need to be an expert in programming or advanced mathematics; the course covers everything from basic concepts to more advanced applications, all in an accessible way. It is ideal for:

• Professionals seeking to enter the field of artificial intelligence
• Developers looking to implement AI solutions on AWS
• Business leaders who want to integrate AI into their projects
• Candidates for the AWS Certified AI Practitioner exam

Prerequisites

No prior technical knowledge in AI or machine learning is required, but basic familiarity with AWS services and cloud computing concepts will help you get the most out of the course content.