WSQ-AWS Generative AI Essentials on AWS
About This Course
Dive into the world of generative AI with this comprehensive one-day course designed for business professionals and IT specialists. Gain a solid foundation in generative AI concepts, methods, and strategies, empowering you to identify suitable use cases and leverage cutting-edge technologies to solve real-world problems.
Through hands-on labs, demonstrations, and group exercises, you'll master prompt engineering, explore responsible AI principles, and learn to implement generative AI projects securely. By the end of the course, you'll be equipped to discuss implementation strategies with confidence, optimize slogan generation, create project plans using AI, and integrate generative AI into your organization's development lifecycle. Whether you're a business analyst, marketing professional, or IT manager, this course will transform your understanding of generative AI and its practical applications in today's business landscape.
What You'll Learn
LO2: Learners will identify and evaluate real-world generative AI use cases and collaborate with technology service providers to plan implementation.
LO3: Learners will apply machine learning techniques and deploy optimised AI workflows using prompt engineering and iterative refinement methods.
LO4: Learners will understand ethical principles and governance in AI and identify and report ethical issues and biases in AI applications and data.
LO5: Learners will understand AI implementation procedures with a focus on security and compliance and identify and report security vulnerabilities in AI applications and data.
LO6: Learners will execute generative AI projects by applying implementation procedures and deploying workflows using proven methodologies.
LO7: Learners will integrate generative AI into software development lifecycles by applying data management principles and maintaining data interoperability.
LO8: Learners will enhance AI performance by applying clean data principles, data cleaning techniques, and ensuring data interoperability.
Entry Requirements
- This course does require participants to have prior AI knowledge.
- Basic level of familiarity with computer technology and the Internet.
- Minimum post-secondary education required.
- Trainocate will assess the learner's suitability if they are unable to meet the minimum entry requirements.