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Beth Hord

Welcome to the first step in your Generative AI journey. In this course, we will be going over what Generative AI is and what AWS services utilize AI and machine learning.

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Introduces basic concepts of generative AI and the AWS services that support this technology
Taught by an experienced instructor working in the field of AI and machine learning

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI Foundations for AWS with these activities:
Join a Study Group for Generative AI
Foster collaboration, share knowledge, and enhance understanding.
Show steps
  • Identify or create a study group
  • Set regular meeting times
  • Establish study strategies
  • Discuss course topics, share ideas
Follow an AWS AI Tutorial
Enhance your understanding of AWS AI services and concepts.
Show steps
  • Identify a specific AWS AI service
  • Locate and access the corresponding tutorial
  • Follow the tutorial instructions
  • Experiment with the provided code
Develop a Generative AI Use Case Proposal
Generate ideas and explore the potential business value of Generative AI.
Show steps
  • Identify a specific business problem
  • Research Generative AI solutions
  • Develop a proposal outlining your approach
  • Present your proposal to stakeholders
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a Summary of Generative AI Concepts
Solidify your understanding of Generative AI principles.
Browse courses on Generative AI
Show steps
  • Review course materials and external resources
  • Identify key concepts and definitions
  • Write a summary outlining your understanding
  • Share your summary with others
Create an AI-Powered Image Classifier
Gain hands-on experience applying AI principles through image classification.
Browse courses on Image Classification
Show steps
  • Gather a dataset of images
  • Select an AWS AI service for image classification
  • Train the model with your dataset
  • Evaluate the model's performance
  • Deploy the model to an AWS cloud service
Contribute to an Open-Source Generative AI Project
Deepen your understanding and engage with the wider Generative AI community.
Browse courses on Collaboration
Show steps
  • Identify an open-source AI project
  • Review the project's documentation
  • Identify an area for contribution
  • Make your contributions
  • Collaborate with the project team
Challenge Yourself on AWS Quizzes
Test your comprehension of course concepts through AWS quizzes.
Show steps
  • Access AWS Educate
  • Navigate to the Quizzes section
  • Choose the relevant quiz
  • Review and answer the questions

Career center

Learners who complete Generative AI Foundations for AWS will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers design and build machine learning algorithms and models to solve complex problems. They play a vital role in developing and deploying machine learning solutions. Generative AI Foundations for AWS introduces the fundamentals of generative AI and AWS's machine learning services. It equips Machine Learning Engineers with the necessary knowledge to integrate generative AI into their projects, expanding their capabilities in model development and innovation.
AI Engineer
AI Engineers design, develop, and maintain AI systems and solutions. They combine expertise in computer science, mathematics, and AI techniques. Generative AI Foundations for AWS provides AI Engineers with a comprehensive overview of generative AI and its applications in AWS cloud computing. This course helps AI Engineers build a solid foundation in generative AI, empowering them to create innovative AI-driven solutions.
Data Scientist
A Data Scientist works with raw data, helping businesses interpret, clean, and make use of it. They utilize machine learning to transform data into usable insights for decision-making. Generative AI Foundations for AWS provides a foundational knowledge of Generative AI and its applications within AWS services. This course is beneficial for Data Scientists looking to enhance their skills in generative AI, enabling them to explore new possibilities for data analysis and forecasting.
Data Analyst
Data Analysts collect, clean, and analyze data to extract meaningful insights. They utilize statistical methods and tools to interpret data and communicate findings to stakeholders. Generative AI Foundations for AWS introduces Generative AI and its potential to revolutionize data analysis. It equips Data Analysts with the knowledge to leverage generative AI techniques for data augmentation, anomaly detection, and predictive modeling, enhancing their ability to uncover valuable insights from complex data.
Data Architect
Data Architects design and build data management systems and solutions. They ensure that data is organized, accessible, and secure. Generative AI Foundations for AWS provides Data Architects with a comprehensive overview of generative AI and its applications in data management. It helps them understand how generative AI can be used to automate data integration, improve data quality, and enhance data governance, enabling them to create robust and scalable data architectures.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work on various projects, from web development to mobile applications and enterprise software solutions. Generative AI Foundations for AWS provides Software Engineers with a solid understanding of generative AI and its applications in cloud computing. This course helps them explore the potential of generative AI to automate software development tasks, improve code quality, and enhance user experiences.
Product Manager
Product Managers oversee the development and launch of new products or features. They work closely with engineers, designers, and marketers to ensure that products meet customer needs. Generative AI Foundations for AWS introduces Product Managers to generative AI and its potential impact on product development. It helps them understand how generative AI can be used to generate ideas, create prototypes, and gather customer feedback, enabling them to bring innovative products to market faster.
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. They work with a variety of teams, including sales, product development, and customer service. Generative AI Foundations for AWS provides Marketing Managers with a comprehensive overview of generative AI and its applications in marketing. It helps them understand how generative AI can be used to create personalized content, automate marketing tasks, and gain insights into customer behavior, enabling them to create effective and data-driven marketing campaigns.
Business Analyst
Business Analysts study how businesses operate and identify opportunities for improvement. They work with stakeholders to gather requirements, analyze data, and develop solutions. Generative AI Foundations for AWS introduces Business Analysts to generative AI and its potential impact on business operations. It helps them understand how generative AI can be used to automate tasks, improve decision-making, and gain insights into customer behavior, enabling them to drive business growth and innovation.
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. They work with engineers, product managers, and other stakeholders to gather information and write clear and concise documentation. Generative AI Foundations for AWS introduces Technical Writers to generative AI and its potential impact on technical writing. It helps them understand how generative AI can be used to generate documentation, translate languages, and answer user questions, enabling them to create high-quality and user-friendly documentation efficiently.
Content Creator
Content Creators produce written, visual, and audio content for a variety of platforms, including websites, social media, and email. They work with a variety of teams, including marketing, product development, and customer service. Generative AI Foundations for AWS introduces Content Creators to generative AI and its potential impact on content creation. It helps them understand how generative AI can be used to generate ideas, create content, and engage with audiences, enabling them to produce high-quality and engaging content efficiently.
UX Designer
UX Designers create user interfaces and experiences for websites, mobile applications, and other digital products. They focus on making sure that products are easy to use and enjoyable. Generative AI Foundations for AWS introduces UX Designers to generative AI and its potential impact on user experience design. It helps them understand how generative AI can be used to generate design ideas, create prototypes, and gather user feedback, enabling them to design user-centric and engaging experiences.
Customer Success Manager
Customer Success Managers help customers achieve their goals with a product or service. They work with a variety of teams, including sales, product development, and customer support. Generative AI Foundations for AWS introduces Customer Success Managers to generative AI and its potential impact on customer success. It helps them understand how generative AI can be used to identify customer needs, personalize engagement, and resolve issues, enabling them to build strong customer relationships and drive customer retention.
Sales Manager
Sales Managers lead and motivate sales teams to achieve sales goals. They work with a variety of teams, including marketing, product development, and customer service. Generative AI Foundations for AWS introduces Sales Managers to generative AI and its potential impact on sales. It helps them understand how generative AI can be used to generate leads, qualify prospects, and close deals, enabling them to increase sales performance and drive revenue growth.
Recruiter
Recruiters find and hire qualified candidates for open positions. They work with a variety of teams, including hiring managers, human resources, and onboarding. Generative AI Foundations for AWS introduces Recruiters to generative AI and its potential impact on recruiting. It helps them understand how generative AI can be used to source candidates, screen resumes, and schedule interviews, enabling them to find and hire top talent efficiently.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI Foundations for AWS.
Provides a comprehensive overview of deep learning, a key technology used in generative AI. It covers the mathematical foundations of deep learning, as well as practical techniques for training and deploying deep learning models.
Provides a comprehensive overview of deep learning, a key technology used in generative AI. It covers the mathematical foundations of deep learning, as well as practical techniques for training and deploying deep learning models.
Provides a comprehensive overview of artificial intelligence, a key technology used in generative AI. It covers the mathematical foundations of artificial intelligence, as well as practical techniques for training and deploying artificial intelligence models.
Provides a comprehensive overview of machine learning, a key technology used in generative AI. It covers the mathematical foundations of machine learning, as well as practical techniques for training and deploying machine learning models.
Provides a comprehensive overview of machine learning, a key technology used in generative AI. It covers the mathematical foundations of machine learning, as well as practical techniques for training and deploying machine learning models.
Provides a comprehensive overview of reinforcement learning, a key technology used in generative AI. It covers the mathematical foundations of reinforcement learning, as well as practical techniques for training and deploying reinforcement learning models.
Provides a comprehensive overview of computer vision, a key technology used in generative AI. It covers the mathematical foundations of computer vision, as well as practical techniques for training and deploying computer vision models.

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