Adrian is a Technologist and Decision Scientist, with over 15 years of experience in Data Science & AI across Finance, Travel, Retail, Marketing, Risk Management, and Customer Experience.
He was recently accepted into the Forbes Technology Council, an invitation-only community for world-class Executives.
Course Description
This intensive, hands-on course is designed to equip participants with the skills and knowledge necessary to effectively work with large language models such as ChatGPT, DALL-E 2, BARD, and others. With a strong focus on the fundamentals, ethics, and design thinking principles, participants will learn how to harness the power of these AI-driven tools to solve real-world problems. The course features a capstone project, allowing participants to apply their newly acquired skills in a practical scenario. Offered both remotely and in-person, this 3-day course (3 hours per day) caters to individual learners as well as groups, with special group rates available.
Syllabus
Introduction to Large Language Models and AI Prompt Engineering
Welcome and Course Overview
The Fundamentals of Large Language Models
What are Large Language Models?
How do they work? (Tokenization, Attention Mechanisms, and Training)
Key Players: ChatGPT, DALL-E 2, BARD, and more
Ethics and Responsible AI Development
Ethical considerations in AI use
Addressing bias and fairness
Privacy and security concerns
Design Thinking for AI Prompt Engineering
Understanding user needs
Ideation and prototyping
Iterative development and testing
Practical Application and Effective Usage of Large Language Models
ChatGPT: Generating Text and Conversations
API usage and best practices
Customizing prompts for desired outputs
Advanced techniques and fine-tuning
DALL-E 2: Creating Visual Art with AI
Generating images from text descriptions
Creative applications and limitations
BING: Unlocking the Potential of Storytelling AI
Narrative generation and interactive fiction
Implementing LLMs in creative projects
Other Large Language Models: Exploring the AI Landscape
Model selection and comparison
Staying up-to-date with AI advancements
Capstone Project and Course Wrap-Up
Capstone Project Introduction
Identifying a real-world problem
Selecting the appropriate AI model
Developing a solution using design thinking principles
Guided project development and implementation
Peer review and feedback
Capstone Project Presentations
Showcase of participant projects
Group discussion and reflection
AppleSeed TrainLytics
We transform your employees and board members into data-driven decision makers
A curated program is created to train team members in the methodologies, tools and processes needed to create business solutions:
Data mining Analytical techniques & Methodologies Machine Learning Statistical Models Data Best practices Visualization methods
Problem Solving
The team solves a real business problem or creates a new product/service using data, their expertise and analytics.
Assessment
Staff are assessed on their performance, and given a badge & certification for each achievement.
Status Reports
Business leaders receive updates on their team’s progress as they solve the business problem.
results
At the end of each project the Client receives a business solution and upskilled staff capable of working on data centric projects