Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Building AI and Machine Learning Solutions with AWS Services: From Fundamentals to Certification Success(AI)
This comprehensive course, "Mastering AI on AWS: Training AWS Certified AI Practitioner" is designed to equip you with the knowledge and skills to excel in AI and machine learning using AWS services. Whether you're a cloud professional, developer, or AI enthusiast, this course will guide you through the fundamentals of AI and machine learning while providing hands-on experience with cutting-edge AWS AI services like Amazon SageMaker, Rekognition, Comprehend, Polly, and more.
Starting with foundational concepts of AI and machine learning, you’ll progress through practical labs, working with real-world applications such as image and video recognition, natural language processing, and recommendation systems. The course will also cover security best practices, responsible AI, and preparing for the AWS Certified AI Practitioner exam. By the end, you’ll be ready to build, deploy, and monitor AI applications on AWS and confidently pass the certification exam.
Through engaging lessons, hands-on projects, and practical exercises, this course ensures you develop both theoretical knowledge and practical skills to succeed in the growing field of AI and machine learning.
What you'll learn:
Fundamental concepts of AI, machine learning, and AWS AI services.
How to build and deploy AI applications using Amazon SageMaker, Rekognition, Comprehend, Polly, and more.
Best practices for securing AI and machine learning workflows on AWS.
How to prepare for and pass the AWS Certified AI Practitioner exam.
Who this course is for:
Cloud professionals wanting to expand into AI/ML.
AI/ML enthusiasts looking to gain practical skills using AWS services.
Aspiring data scientists and developers seeking to implement real-world AI solutions.
Students and professionals preparing for the AWS Certified AI Practitioner exam.
Course Content
- 11 section(s)
- 60 lecture(s)
- Section 1 Introduction to AWS AI and Machine Learning
- Section 2 Fundamentals of Machine Learning (ML)
- Section 3 AWS AI Services Overview
- Section 4 AWS AI Services for Natural Language Processing (NLP)
- Section 5 AWS AI Services for Computer Vision
- Section 6 AWS AI Services for Speech Recognition
- Section 7 AI and Machine Learning Security on AWS
- Section 8 AWS AI Services for Personalization and Recommendations
- Section 9 AI and ML Use Cases on AWS
- Section 10 AI Ethics and Responsible AI on AWS
- Section 11 Exam Preparation and Mock Tests
What You’ll Learn
- Understand Key Concepts of AI and Machine Learning on AWS
- Master AWS AI and Machine Learning Services
- Build and Deploy AI-Powered Applications on AWS
- Prepare for the AWS Certified AI Practitioner Exam
Skills covered in this course
Reviews
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GGiridhar Rayala
Good ! Would have been better with more use cases along the course.
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SSyeda Mehwish Munawer
it was good but too lengthy, other than that all aspects were good
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RRichard
i didt put 5 star because i want to learn the actual and basic
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VVenkataramana Kantikiran Nyayapati
Role plays available in each section helps understand AI/ML Use Cases conceptually. Short, succinct & to the point to get a shot at giving AI Certification Exam !!