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AWS Certified AI Practitioner (AIF-C01)

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AWS Certified AI Practitioner (AIF-C01)

Instructors: Pearson

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

19 reviews

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

19 reviews

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Review all exam objectives and prepare for the AWS Certified AI Practitioner AIF-C01 exam.
Learn how to use AI and AI in AWS solutions.
Explore foundation models, prompt engineering techniques, responsible AI, and security and compliance for AI workloads.
Get question breakdowns to validate your knowledge, acquire strategies, and embrace best practices.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

16 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

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There are 5 modules in this course

AWS Certified AI Practitioner (AIF-C01) is your full exam resource for the all-new AWS certification exam AIF-C01. Experienced trainer and author Chad Smith covers all the exam's concepts and objectives, equipping you with the edge needed to study effectively and achieve success.

This module provides an introduction to the AI Practitioner exam material and sets the stage for the rest of the course. You’ll receive an overview of the certification exam, including logistics and the list of question domains.

What's included

6 videos1 assignment

This module introduces the basic terminology and concepts required to discuss AI and machine learning. You’ll learn about foundational AI concepts, practical use cases, and the machine learning development lifecycle.

What's included

22 videos3 assignments

22 videos Total 71 minutes

Module Introduction 1 minute
Learning objectives 1 minute
Basic AI Terminology 5 minutes
Introduction to Machine Learning 7 minutes
Introduction to Deep Learning 3 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 3 minutes
Learning objectives 1 minute
AI Patterns and Anti-patterns 6 minutes
ML Techniques 3 minutes
Real-world AI Applications 3 minutes
AWS Managed AI/ML Services 6 minutes
Question Breakdown 1 2 minutes
Question Breakdown 2 3 minutes
Learning objectives 1 minute
ML Pipeline Components 5 minutes
ML Model Sources and Deployment Types 3 minutes
Introduction to ML Ops 4 minutes
AWS ML Pipeline Services 5 minutes
ML Model Performance Metrics 3 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 3 minutes

3 assignments Total 90 minutes

Basic AI Concepts Quiz 30 minutes
Practical Use Cases For AI Quiz 30 minutes
ML Development Lifecycle Quiz 30 minutes

This module covers the essential terminology and concepts for generative AI, including its use cases, benefits, and limitations. You’ll also learn about AWS offerings for generative AI workloads.

What's included

20 videos3 assignments

20 videos Total 58 minutes

Module Introduction 1 minute
Learning objectives 0 minutes
Basic Generative AI Terminology 4 minutes
Generative AI Use Cases 4 minutes
Foundation Model Lifecycle 3 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 3 minutes
Learning objectives 1 minute
Generative AI Advantages 3 minutes
Generative AI Disadvantages 4 minutes
Model Selection Decision Tree 3 minutes
Generative AI Business Value and Metrics 4 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 4 minutes
Learning objectives 1 minute
AWS Generative AI Services and Features 4 minutes
AWS Generative AI Advantages and Benefits 4 minutes
AWS Generative AI Cost Tradeoffs 4 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 3 minutes

3 assignments Total 90 minutes

Basic Concepts of Generative AI Quiz 30 minutes
Generative AI Capabilities and Limitations Quiz 30 minutes
AWS Generative AI Offerings Quiz 30 minutes

This module explores the design, performance, training, and prompt engineering of foundation models. You’ll learn how to effectively use, monitor, and customize these powerful AI technologies.

What's included

30 videos4 assignments

30 videos Total 99 minutes

Module Introduction 1 minute
Learning objectives 1 minute
Pre-trained Model Selection Criteria 5 minutes
Model Inference Parameters 4 minutes
Introduction to RAG 5 minutes
Introduction to Vector Databases 4 minutes
AWS Vector Database Service 3 minutes
Foundation Model Customization Cost Tradeoffs 3 minutes
Generative AI Agents 5 minutes
Question Breakdown 1 2 minutes
Question Breakdown 2 3 minutes
Learning objectives 0 minutes
Foundation Model Performance Metrics and Evaluation 9 minutes
Foundation Model Business Objective Criteria 2 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 2 minutes
Learning objectives 1 minute
Foundation Model Training 3 minutes
Foundation Model Fine-tuning 5 minutes
Foundation Model Data Preparation 4 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 3 minutes
Learning objectives 1 minute
Prompt Workflow 3 minutes
Prompt Engineering Concepts 5 minutes
Prompt Engineering Techniques 6 minutes
Prompt Engineering Best Practices 3 minutes
Prompt Engineering Risks and Limitations 4 minutes
Question Breakdown 1 4 minutes
Question Breakdown 2 3 minutes

4 assignments Total 120 minutes

Foundation Model Design Quiz 30 minutes
Foundation Model Performance Quiz 30 minutes
Foundation Model Training and Fine Tuning Quiz 30 minutes
Prompt Engineering Quiz 30 minutes

This module addresses responsible and secure development of AI solutions, ensuring workloads are used appropriately and comply with regulations. Topics include responsible AI, transparency, security, and governance.

What's included

32 videos5 assignments

32 videos Total 102 minutes

Module Introduction 1 minute
Learning objectives 1 minute
Responsible AI Features 4 minutes
AWS Responsible AI Tools 4 minutes
Responsible AI Model Selection Practices 3 minutes
Generative AI Legal Risks 3 minutes
AI Dataset Characteristics 3 minutes
AI Bias and Variance 5 minutes
AWS AI Bias Detection Tools 2 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 3 minutes
Learning objectives 1 minute
Transparency and Explainability Definitions 3 minutes
AWS Transparency and Explainability Tools 4 minutes
AI Model Safety and Transparency Tradeoffs 3 minutes
Human-centered AI Design Principles 4 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 4 minutes
Learning objectives 1 minute
AWS AI Security Services and Features 6 minutes
Data Citations and Origin Documentation 3 minutes
Secure Data Engineering Best Practices 5 minutes
AI Security and Privacy Considerations 5 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 3 minutes
Learning objectives 1 minute
AWS Governance and Compliance Services 5 minutes
Data Governance Strategies 3 minutes
Governance Protocols and Compliance Standards 3 minutes
Question Breakdown 1 3 minutes
Question Breakdown 2 4 minutes
Course Summary 4 minutes

5 assignments Total 150 minutes

Responsible AI System Development Quiz 30 minutes
Transparent and Explainable AI Models Quiz 30 minutes
AI Security Quiz 30 minutes
AI Governance and Compliance Quiz 30 minutes
End of Course Assessment 30 minutes

Instructors

Instructor ratings

(5 ratings)

Pearson

268 Courses 49,150 learners

Chad Smith

Pearson

12 Courses 1,636 learners

Offered by

Pearson

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.