Elevate Your Career with AI Mastery on AWS

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 will 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

Course Content:

• Sections: 11
• Lectures: 60
• Duration: 3h 59m

Requirements:

• Basic Knowledge of Cloud Computing: Students should have a general understanding of cloud computing concepts and experience using AWS services, such as EC2, S3, or RDS
• Familiarity with Programming: A basic understanding of programming languages, especially Python, is recommended, as some hands-on labs will involve coding for machine learning and AI tasks.
• Understanding of Machine Learning Fundamentals (Optional but Beneficial): While the course will cover the basics of machine learning, having prior knowledge of key ML concepts (like algorithms, training, and model evaluation) will be helpful.
• AWS Account: Students will need an active AWS account to perform hands-on labs and practice with AWS AI and ML services.

Who is it for?

• Cloud Professionals Seeking to Expand into AI/ML
• AI and Machine Learning Enthusiasts
• Aspiring Data Scientists and ML Engineers
• Business Analysts and Decision Makers
• Students Preparing for AWS AI Certification
• Tech Professionals Looking to Upskill

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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