Course Overview

The Generative AI (ChatGPT, Gemini) Course equips learners with essential knowledge and hands-on experience to use generative AI tools effectively. Participants will explore the fundamentals of generative AI, including natural language processing (NLP) and text generation, and learn how to apply these tools to enhance productivity, creativity, and decision-making. The course covers use cases, prompt engineering, ethical considerations, and best practices for integrating generative AI into personal and professional workflows. By the end of the course, learners will be prepared to harness the power of ChatGPT, Gemini, and similar tools for various applications.

 

Prerequisites

No prior experience with AI tools is required, but basic computer skills are recommended.

Target Audience

This course is ideal for professionals, students, and individuals interested in using generative AI tools to boost creativity, enhance productivity, and streamline workflows. It is suitable for both beginners and those familiar with AI concepts.

Course Highlights

  • Learn the fundamentals of generative AI and how it works.
  • Develop skills in prompt engineering and customising outputs.
  • Explore real-world applications of ChatGPT and Gemini across industries.
  • Understand ethical considerations and limitations of generative AI.
  • Gain insights into integrating AI tools into workflows effectively.

Course Objectives

By the end of this course, learners will be able to:

  • Explain the principles and workings of generative AI.
  • Use ChatGPT, Gemini, and similar tools for various personal and professional tasks.
  • Design effective prompts to achieve desired AI outputs.
  • Apply generative AI to content creation, task automation, and problem-solving.
  • Integrate generative AI tools into existing workflows and platforms.
  • Evaluate ethical considerations and mitigate biases in AI usage.
  • Recognise limitations of generative AI and work around challenges.
  • Explore trends and innovations in the generative AI landscape.
  • Communicate the benefits and limitations of generative AI to stakeholders.
  • Leverage AI tools responsibly to enhance productivity and creativity.

Course Outline

Instructional Methods: Group discussions on AI concepts, practical demonstrations of generative AI tools, and case studies on generative AI applications.

Topics Covered:

  • What is generative AI and how does it work?
  • Overview of natural language processing (NLP) and text generation.
  • Comparison of popular tools (e.g., ChatGPT, Gemini, Bard).
  • Real-world applications of generative AI in business, education, and creativity.
  • Limitations and capabilities of generative AI models.

Instructional Methods: Hands-on exercises in setting up and using tools, group discussions on use cases, and practical demonstrations of basic features.

Topics Covered:

  • Overview of ChatGPT and Gemini interfaces and capabilities.
  • Account setup, accessing APIs, and integrating tools.
  • Basic commands and use cases for text generation.
  • Exploring pre-built templates and AI features.
  • Troubleshooting common issues in AI tool usage.

Instructional Methods: Practical exercises in crafting prompts, group discussions on improving responses, and case studies on optimised prompts.

Topics Covered:

  • Introduction to prompt engineering: what it is and why it matters.
  • Structuring effective prompts for specific outcomes.
  • Fine-tuning responses using system instructions and examples.
  • Customising tone, style, and format of outputs.
  • Iterative techniques for improving AI responses.

Instructional Methods: Hands-on exercises in task automation, group discussions on advanced use cases, and practical demonstrations of integrations.

Topics Covered:

  • Content creation: blog posts, emails, social media, and scripts.
  • Streamlining workflows with task automation.
  • Summarisation and translation capabilities of generative AI.
  • AI-powered brainstorming for creative and strategic thinking.
  • Integrating AI tools with platforms like Google Workspace, Slack, and CRM tools.

Instructional Methods: Group discussions on ethical issues, case studies on AI misuse, and activities to develop responsible AI guidelines.

Topics Covered:

  • Understanding biases in AI-generated content.
  • Legal and copyright implications of generative AI use.
  • Addressing privacy and data security concerns.
  • Establishing boundaries for ethical AI use in organisations.
  • Fostering trust through transparency and responsible AI use.

By the end of this course, learners will be able to:

  • Explain the principles and workings of generative AI.
  • Use ChatGPT, Gemini, and similar tools for various personal and professional tasks.
  • Design effective prompts to achieve desired AI outputs.
  • Apply generative AI to content creation, task automation, and problem-solving.
  • Integrate generative AI tools into existing workflows and platforms.
  • Evaluate ethical considerations and mitigate biases in AI usage.
  • Recognise limitations of generative AI and work around challenges.
  • Explore trends and innovations in the generative AI landscape.
  • Communicate the benefits and limitations of generative AI to stakeholders.
  • Leverage AI tools responsibly to enhance productivity and creativity.

Certification

A certificate of completion will be awarded upon successful completion of the course.

Course Fees

$788 $488

Generative AI (ChatGPT, Gemini)

Boost Creativity and Productivity with Generative AI

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Boost Creativity and Productivity with Generative AI

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