Generative AI
Generative AI is a practical course focused on creating and improving content, ideas, and solutions using modern AI tools. Trainees will learn how generative models work at a high level and how to use them effectively for writing, images, presentations, analysis, and creative workflows.
During the course, trainees will practice building reusable prompt templates, maintaining style and consistency, and improving output quality using structured prompting techniques. The course also covers safe use, privacy, and how to reduce errors by validating and refining AI outputs.
What you will learn: advanced prompting, content generation workflows, multimodal use cases, and real-world projects with generative AI.
Learning format: This course does not require live class attendance. Course content unlocks weekly by topics, allowing trainees to study tutorials on their own schedule. Unlocked topics include assignments or projects that must be completed and submitted before their deadlines. The instructor provides weekly feedback and reminders outlining the topics and tasks to be completed for that week.
- Introduction to generative AI
- How generative models work
- Advanced prompting techniques
- Generating high quality writing
- Creating images and visuals
- Documents, slides, and reports with AI
- Data analysis and insights with AI
- Creative workflows and ideation
- Ethics, privacy, and safety
- Deployment & Capstone Project
Course window: Classes start at a specific time and end at a specific time.
Weekly structure: New topics unlock each week. Trainees must study the released topics and complete the associated tutorials.
Deadlines: Assignments and projects related to each topic must be submitted before their weekly and final deadlines.
Instructor support: Weekly announcements and reminders are posted to guide trainees on topics and required tasks for each week.