Overview

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Artificial Intelligence (AI) enables machines to perform tasks requiring human-like intelligence, such as decision-making and problem-solving. Its subsets include Machine Learning (ML), which uses data to improve systems without explicit programming, Deep Learning (DL), which employs neural networks for advanced pattern recognition, and Generative AI (Gen AI), which creates new content like text and images by analyzing data. Together, these technologies drive innovation, streamline processes, and deliver personalized experiences, making them essential in today’s digital world. The "Exam Prep AIF-C01: AWS Certified AI Practitioner" course is designed for individuals seeking to deepen their understanding of AI and machine learning technologies, both in general and within the AWS ecosystem. This course prepares candidates to earn the AWS Certified AI Practitioner certification. The course features approximately 6.5 to 7 hours of video lectures, covering both theoretical concepts and hands-on exercises. It is organized into five modules, each further divided into lessons. To reinforce learning, each module includes assignments, quizzes, and in-video questions. Enroll in the “Exam Prep AIF-C01: AWS Certified AI Practitioner” course today and take a step toward advancing your career! - Module 1: Foundation Model and Generative AI on AWS - Module 2: Fundamentals of AI & ML - Module 3: AWS Managed AI Services - Module 4: Prompt Engineering and Responsible AI - Module 5: Secure AI Solutions This course is designed for professionals seeking to demonstrate a comprehensive understanding of AI/ML, Generative AI, and related AWS services and tools, regardless of their job function. By the end of the course, learners will be able to: - Understand AI, ML, and Generative AI concepts both broadly and within AWS. - Select suitable AI/ML technologies for use cases. - Build Generative AI applications with AWS services. - Apply responsible AI/ML practices. - Secure Generative AI solutions with proper IAM rules.

Syllabus

Foundation Models and Generative AI in AWS

Welcome to Week 1 of the Exam Prep AIF-C01: AWS Certified AI Practitioner course. In this week, we will be introduced to the features and use cases of Foundation Models and Generative AI models. We will learn about the RAG Architecture of LLM and implement it using Amazon Bedrock. By the end of the week, we will be able to understand Vector Embeddings, GuardRails, and Agents feature of Amazon Bedrock.

Fundamentals of AI & ML in AWS

Welcome to Week 2. This week, we will be introduced to the differences between AI, Deep Learning, and Machine Learning. We will learn Machine learning lifecycle, different types of data used in Machine learning, and machine learning techniques. At the end, we will explore MLOps and its related AWS services.

AWS Managed AI/ML Services

Welcome to Week 3. This week, we will be introduced to AWS managed AI/ML services. We will learn to implement Amazon Comprehend, Amazon Translate, Amazon Transcribe, Amazon Polly, Amazon Rekognition, and, Amazon Augmented AI (A2I).We will be exploring features of Amazon SageMaker with its components. At the end of the week, we will learn Amazon Q, a generative AI–powered assistant developed by AWS.

Prompt Engineering and Responsible AI in AWS

In the Week 4, we will be introduced to the concepts of Prompt Engineering and Responsible AI. We will learn different techniques to design effective prompts used to optimize generative AI model. We will also explore the key principles of Responsible AI and use them to select a generative AI model. By the end of the week, we will discover AWS services to select the model and guide them to produce the desired outputs.

Secure AI Solutions in AWS

Welcome to Week 5. This week, we will be introduced to shared responsibility model in AWS to secure AI/ML solutions. We will learn to identify and apply security and privacy considerations for AI systems. By the end of the week, we will explore AWS services and features to assist with governance and security of AI solutions.