Course Overview
This course provides a comprehensive introduction to Generative AI for a broad audience. Learners will be introduced to what Generative AI is, where it fits historically and within the current landscape of AI, the different types of Generative AI, and the different opportunities and risks involved in using Generative AI.
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Course Highlights
- Duration: 2 days, 9:30 AM to 5:00 PM
- Comprehensive introduction to Generative AI for non-technical audiences
- Hands-on experience with tools like ChatGPT, DALL·E, and GitHub Copilot
- Learn about text, image, audio, and video generation
- Explore ethical considerations, compliance, and AI governance
- Build and apply prompt engineering techniques
- Gain insights into real-world applications and future trends of GenAI
Why Choose the Introduction to GenAI course
- Expert-led training with practical demos and engaging labs
- Ideal for those seeking foundational understanding without coding experience
- Focus on applicable skills using popular GenAI tools
- Addresses current industry practices, challenges, and future outlook
- Equips learners with the ability to evaluate, use, and govern GenAI tools responsibly
- Encourages critical thinking about ethics, risks, and compliance in AI usage
Who Should Attend This Course?
- Frontline end users, stakeholders, and decision-makers
- Those with little to no coding experience
- Anyone interested in understanding and applying Generative AI in a business or operational context
- Professionals seeking to integrate AI solutions safely and effectively within their organisation
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Entry Requirements
A basic understanding of computers and everyday digital tools. No prior experience with coding or AI is required..
Exam
There is no exam required at the end of this course.
Course Objectives
Working with many curated and engaging demos and labs, and guided by an expert instructor, students will learn about the world of Generative AI and the how to use Generative AI tools efficiently.
- Understand the foundational principles and historical development of Generative AI.
- Differentiate between various Generative AI models and their outputs (text, image, audio, video).
- Evaluate real-world applications of Generative AI and its impact across industries.
- Select and apply the appropriate Generative AI tools for specific tasks or business needs.
- Gain hands-on experience using tools like ChatGPT, DALL-E, and Github Copilot for practical applications.
- Identify ethical concerns, such as bias, privacy, and copyright issues, in the use of Generative AI.
- Develop strategies to mitigate risks while ensuring responsible AI usage and compliance.
- Craft effective prompts to improve the accuracy and relevance of AI-generated content.
- Explore emerging trends in multimodal and personalized Generative AI solutions.
- Build a foundational understanding of AI governance and compliance policies for organizational use.
Syllabus – Key points
Foundations and Evolution of GenAI
- What is Generative AI?
- Demo: GenAI Tools Showcase
- How Does GenAI Work?
- Hands-On Training: Using GenAI Tools
- Ethical Considerations and Limitations of GenAI
- GenAI Compliance and Policy
- Day-end Discussion: How do you feel about GenAI?
- Practical Applications of GenAI
- Building Applications with GenAI
- Hands-on Training: Using GenAI Applications
- Prompt Engineering
- Hands-on Training: Prompt Engineering
- GenAI for Content Creation
- Hands-on Training: Creating a Marketing Campaign using GenAI
- Future of GenAI
- Conclusion and Review
- Discussion and Q/A
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