Workshop on Prompt Engineering and Generative AI Use Cases
Course Overview
In today’s rapidly evolving technological landscape, understanding how to effectively harness generative AI tools is essential for professionals seeking to leverage artificial intelligence in their
workflows. This 2-day, intensive hands-on course on Prompt Engineering and Generative AI Use Cases is designed to equip participants with the practical skills needed to construct effective prompts, master advanced prompt frameworks, and design AI-driven workflows. Through interactive sessions and real-world use cases, participants will learn the foundational skills of prompt engineering, advance to sophisticated techniques, and apply these skills to create AI-enabled solutions.
Training Type
Full Time
Who Should Attend
This course is ideal for:
• AI Enthusiasts and Developers seeking practical skills in prompt engineering and workflow
integration.
• Data Scientists and Analysts looking to enhance their AI model applications with customized
prompt techniques.
• Product Managers and Business Strategists interested in incorporating AI-driven automation
into their operations.
• Professionals in creative industries aiming to leverage generative AI for content creation and
ideation.
• Anyone interested in understanding and implementing AI workflows for practical, industryspecific solutions.
Course Duration
2 Days
Total Training Duration (Hour)
16 Hours
Course Outline
Day 1: Fundamentals of Prompt Engineering
• Overview of generative AI and the role of prompt engineering.
• Understanding prompt anatomy: components and principles of effective prompts.
• Hands-on exercise: Creating and testing simple prompts.
Afternoon Session: Basic Prompt Frameworks and Techniques
• Introduction to prompt frameworks (e.g., structured prompts, role-based prompting).
• Guided practice: Constructing prompts using various frameworks.
• Prompt testing and analysis: Refining prompts for optimal output.
• Conditional prompting: Creating prompts with specific conditions and context.
• Chained prompting: Designing multi-step prompts for complex tasks.
• Iterative refinement: Testing, analyzing, and improving prompts through iterative
adjustments.
• Hands-on exercise: Developing and refining advanced prompts.
Day 2: Advanced Prompt Engineering Techniques
• Application-focused prompts: Tailoring prompts for specific industry use cases (e.g.,
marketing, customer service, content creation).
• Group activity: Case study scenarios, where participants design prompt solutions for given
use cases.
• Feedback and iteration: Group sharing, feedback, and improvement.
• Understanding the role of AI workflows in business automation and optimization.
• Designing workflows with prompt engineering as a core component.
• Common AI tools and platforms that enable workflow integration.
• Hands-on project: Designing and implementing an AI-enabled workflow.
• Applying advanced prompt techniques to create workflows for specific use cases.
• Final presentations: Each participant presents their workflow solution, explaining prompt
choices and AI integration.
Course Objectives
By the end of this course, participants will be able to:
• Understand the fundamentals of prompt engineering and its importance in AI-driven
solutions.
• Construct, test, and refine effective prompts using various prompt frameworks.
• Apply advanced prompt techniques to generate specific and nuanced outputs.
• Integrate prompt engineering techniques into AI workflows to automate and optimize tasks.
• Develop practical AI-enabled solutions using real-world use cases across various industries.
Course Learning Outcome
By the end of this course, participants will:
• Gain hands-on experience with various prompt frameworks and methods for crafting
effective prompts.
• Master advanced prompt engineering techniques, including chaining, conditional prompting,
and iterative refinement.
• Understand and design AI-enabled workflows that can automate complex tasks.
• Leave with a toolkit of practical, customizable prompt techniques and workflow templates
applicable across different fields
Pre-requisites
Participants should have:
• A basic understanding of AI concepts and terminology.
• Familiarity with common AI applications and some experience using AI tools.
• An eagerness to apply practical AI techniques to real-world use cases.
Course Pre-Requisites
Price
| Discount / Promotion Fee (Apply to original fee only) |
Fee Payable After Discount / Promotion (Before SST) | |
|---|---|---|
| New Year Discount | RM3,400.00 | |
| Course Fee Payable | ||
| Original Fee | Before SST | With SST (8%) |
| Course Fee | RM4,000.00 | RM4,320.00 |
| Corporate Pricing (Fee payable to Training Provider) | ||
| SME | Before SST | With SST (8%) |
| SBL Khas - 100 Percent | RM0.00 | RM0.00 |
Please note that prices are subjected to change.
