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Master AWS Certified AI Practitioner AIF-C01 Exam
This course covers the GenAI revolution and its role in securing a career with AWS Certified AI Practitioner AIF-C01, focusing on AI services, machine learning, and cloud AI.
4.7
129 Lessons
23 Cloud Labs
20h
Updated 1 month ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Understanding of AWS infrastructure, core services, AI/ML fundamentals
- The ability to identify and use AWS AI/ML services for different scenarios
- Hands-on experience with services like Amazon SageMaker, Amazon Bedrock, and Amazon Rekognition
- Knowledge of responsible AI practices, including bias detection and compliance
- Experience simulating AWS Certified AI Practitioner exam conditions using practice exams
- Hands-on experience provisioning resources on AWS using Educative Cloud Labs
Learning Roadmap
1.
Introduction
Introduction
Gain foundational knowledge of AWS AI and machine learning for career advancement.
2.
AWS Fundamentals
AWS Fundamentals
Explore cloud computing fundamentals, AWS account setup, global infrastructure, and different ways of using AWS.
3.
AWS Core Services
AWS Core Services
8 Lessons
8 Lessons
Explore AWS core services, including EC2, S3, Lambda, VPC, and container management.
4.
Fundamentals of AI and ML
Fundamentals of AI and ML
11 Lessons
11 Lessons
Explore AI and ML fundamentals, including neural networks, data types, ML techniques, and model performance metrics.
5.
AWS Pre-Build Machine Learning Models
AWS Pre-Build Machine Learning Models
11 Lessons
11 Lessons
Explore AWS machine learning services for improved data processing, analysis, and user interaction.
6.
Amazon SageMaker
Amazon SageMaker
8 Lessons
8 Lessons
Explore Amazon SageMaker's tools for efficient, reliable, and ethical machine learning workflows.
7.
Fundamentals of Generative AI
Fundamentals of Generative AI
7 Lessons
7 Lessons
Explore generative AI’s capabilities, applications, and effective prompting techniques for optimal results.
8.
Amazon Bedrock
Amazon Bedrock
8 Lessons
8 Lessons
Explore Amazon Bedrock's capabilities in generative AI and foundational model optimization.
9.
AWS Security Services
AWS Security Services
10 Lessons
10 Lessons
Explore AWS security services, focusing on IAM, compliance, and data protection strategies.
10.
AWS Analytics Services
AWS Analytics Services
8 Lessons
8 Lessons
Explore AWS analytics services for data processing, integration, visualization, and marketplace solutions.
11.
AWS Databases
AWS Databases
7 Lessons
7 Lessons
Explore AWS's diverse database services, focusing on their features and applications.
12.
AWS Management and Governance
AWS Management and Governance
9 Lessons
9 Lessons
Explore services for effective governance, compliance, and monitoring of AWS cloud infrastructure.
13.
AWS Billing and Cost Management
AWS Billing and Cost Management
4 Lessons
4 Lessons
Master AWS cost management tools to optimize spending and control budgets effectively.
15.
Practice Exam I Solution
Practice Exam I Solution
14 Lessons
14 Lessons
Test your understanding of AI and ML fundamentals, foundation models, responsible AI, security, and compliance measures for AI solutions.
16.
Practice Exam II Solution
Practice Exam II Solution
14 Lessons
14 Lessons
Test your understanding of AI and ML fundamentals, foundation models, responsible AI, security, and compliance measures for AI solutions.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
The AWS AI Practitioner (AIF-C01) certificate is one of the latest additions to the AWS certifications shelf. It is designed for individuals looking to build foundational knowledge of artificial intelligence (AI) and machine learning (ML).
You’ll learn the key AI and ML concepts, AWS AI/ML services, responsible AI practices, and practical applications of foundation models. You’ll also gain hands-on experience with AWS services such as Amazon SageMaker and Amazon Bedrock and NLP services like Amazon Comprehend, and Rekognition. You’ll also practice real-life exam questions, mirroring the format and difficulty of the actual certification test, to enhance your readiness and confidence. Additionally, this course includes Educative Cloud Labs, giving you hands-on experience with AWS services to build practical skills and a deeper understanding.
After completing this course, you’ll be confident to pass the AWS AI Practitioner exam and pursue entry-level industry roles.
ABOUT THE AUTHOR
Naeem ul Haq
Educative co-founder and CTO. Ex-Microsoft (Azure). Full-Stack, Cloud, Product & Engineering Leadership.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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