Getting It Done With AI

Course Overview

The Getting It Done With AI course offers a beginner-friendly introduction to artificial intelligence, helping learners at all levels understand and responsibly apply AI tools in the workplace. It includes instructional modules on core AI concepts, how generative AI systems such as ChatGPT, Microsoft Copilot, and Google Gemini operate in real-world scenarios, and how to use them effectively to enhance productivity and decision-making. This course covers defining AI, exploring the landscape of AI tools, practicing prompt engineering (crafting effective prompts to help AI produce better outputs), and understanding ethical, privacy, and security concerns associated with AI use. Students taking this course will learn to communicate meaningfully about AI with colleagues and stakeholders, identify appropriate AI use cases in daily workflows, apply generative AI tools safely and responsibly, and begin thinking strategically about how AI will evolve within their organizations. Upon completion, they can apply these skills immediately in their work, enabling them to contribute to AI-enabled projects, communicate the value of AI to stakeholders, and remain competitive as AI becomes more integrated into everyday business operations.
The estimated completion time for this course is 2 hours. The maximum allotted time is four months from enrollment.
Explain how AI, especially large language models, works at a practical level, including what it is, how it differs from search, and how tokens and memory affect outputs, and apply that understanding to choose the right tool or approach for a given task.

Demonstrate an "AI-era skillset" by using the tool ecosystem effectively and writing strong prompts ("the power of the ask") to get accurate, useful, and improvable results, including iterating when the first response isn't ideal.

Structure effective prompts using multiple strategies, such as role-based, devil's advocate, hybrid, and shot-based prompting, to clearly communicate goals, constraints, context, and success criteria.

Demonstrate iterative and AI-powered prompting by refining prompts across multiple rounds using feedback, self-critique, and prompt-improvement techniques to improve output quality.

Evaluate and use advanced AI capabilities, including GPT projects, custom GPTs, personalization, and pseudo-redlining, while recognizing limitations such as memory illusions and hallucinations.

Develop a forward-looking AI strategy by using AI as a learning partner, refining it to write in an authentic voice, and adopting
receive an industry-recognized NCTI certificate of graduation

Related courses

NCTI-Cover-Empty
NCTI-Cover-Empty
NCTI-Cover-Empty
NCTI-Cover-Empty
NCTI-Cover-Empty
NCTI-Cover-Empty
NCTI-Cover-Empty
NCTI-Cover-Empty
NCTI-Cover-Empty
Share this page: