Overview
In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs.
Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems.
By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.
Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2024 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
Skills Covered
In this course, you will learn to:
- Summarize generative AI concepts, methods, and strategies
- Discuss the appropriate use of generative AI and machine learning and their technologies
- Describe how to use generative AI responsibly and safely
- Recognize the types of generative AI solutions with specific use cases
- Explain implementation and project planning of generative AI to your organization
Who Should Attend
This course is intended for those with limited prior knowledge of generative AI:
- Business analyst
- IT support
- Marketing professional
- Product or project manager
- Line-of-business or IT manager
- Sales professionals
Exam & Certification
AWS Certified AI Practitioner.
Unlock new career possibilities with this AI certification. AWS Certified AI Practitioner validates in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases. Sharpen your competitive edge and position yourself for career growth and higher earnings.
- Intended candidate: Individuals who are familiar with, but do not necessarily build, solutions using AI/ML technologies on AWS
- Candidate role examples: Business analyst, IT support, marketing professional, product or project manager, line-of-business or IT manager, sales professional
