This course is designed for technical writers, instructional designers, and communicators who want to move beyond basic AI usage to become strategic AI practitioners. Participants will master advanced prompt engineering techniques including Chain-of-Thought and Tree of Thoughts reasoning, learn to build reusable Custom AI Assistants through context engineering, and implement a comprehensive 9-workflow framework for ensuring ethical, accurate, and bias-free AI-generated content. The course emphasizes hands-on application, with participants creating job-ready tools and developing a portfolio case study that demonstrates measurable business impact.
By the end of the program, participants will be equipped to position themselves for emerging AI-enhanced roles and deliver immediate value to their organizations.
Key Focus Areas:
Advanced Prompt Engineering: Master techniques including Few-Shot, Multi-Turn, Meta-Prompting, Chain-of-Thought (CoT), and Tree of Thoughts (ToT) for complex problem-solving and strategic decision-making.
Context Engineering & Custom AI Assistants: Build reusable, job-specific Custom GPTs with engineered system prompts that embed style guides, glossaries, and brand voice for consistent, high-quality output.