Overview
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Revitalize your career with must-have AI skills in one of technology's fastest-growing fields. This comprehensive program, designed for business professionals and aspiring technologists, teaches you how to leverage AWS AI services to enhance productivity and drive innovation—no deep technical background required.
Through three courses, you'll progress from AI fundamentals to creating real applications on AWS. Starting with core concepts and ethical considerations, you'll advance to implementing AI solutions and developing innovative applications that can revolutionize business processes.
What makes this program unique:
Learn directly from AWS experts who guide you through real-world scenarios Gain hands-on experience with cutting-edge tools like Amazon Bedrock, PartyRock, and Amazon Q Practice prompt engineering and learn to build AI-powered applications
Key skills you'll develop:
AI fundamentals and responsible AI implementation Effective prompt engineering techniques AWS AI services implementation and architecture Application development using AWS AI tools
This program is ideal for:
Business and technology professionals seeking to enhance productivity with AI Career changers interested in technology roles Entrepreneurs wanting to integrate AI into their ventures
Join numerous professionals who have already started their AI journey with AWS training, and position yourself at the forefront of this transformative technology.
Syllabus
- Course 1: AI Fundamentals and the Cloud
- Course 2: AWS Services for AI Solutions
- Course 3: Bringing Ideas to Life Using AI
Courses
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Begin your AI journey by understanding fundamental concepts and ethical considerations of artificial intelligence in the cloud. This course introduces you to AI technology, focusing on how different models work and their practical applications. You'll learn to distinguish between Large Language Models (LLMs) and Foundation Models (FMs), understand responsible AI practices, and gain hands-on experience with Amazon PartyRock. Through practical exercises and real-world examples, you'll develop essential prompt engineering skills and learn how AI can enhance productivity across various job roles. The course concludes with an exploration of key AWS AI services, including Amazon Bedrock, Q Developer, Q Business, and SageMaker, providing you with a solid foundation for AI solution development.
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Accelerate your AI expertise by diving deep into AWS AI services and solution architecture. This course guides you through evaluating and implementing AWS AI services for tasks ranging from generative AI to computer vision. You'll experiment with generative AI on Amazon Bedrock, learn prompt engineering techniques, and learn how AI agents can automate workflows. The course emphasizes practical application, teaching you to design effective AI architectures and integrate various AWS services for storage, databases, data processing, and security. Through hands-on labs, you'll learn to make solid decisions about AI implementation and develop the skills to architect AI solutions.
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Supercharge your AI knowledge into practical solutions in this hands-on course. Learn to use generative AI applications to grow your expertise and create real-world solutions, regardless of your professional background. The course emphasizes practical application development, exploring AI agents, cost considerations, and API interactions. You'll learn how to progress from proof-of-concept to minimum viable product, understand when to use custom models, and learn best practices for privacy and governance. The course concludes with practical guidance on implementing AI solutions responsibly and scaling them effectively.
Taught by
Alex G., Oksana Hoeckele and Rafael Lopes