Generative AI for Decision Makers
| Preference | Dates | Timing | Location | Registration Fees |
|---|---|---|---|---|
| Instructor-Led Training (In-Person and Live Webinars) |
14, 16, 21, 23, 28, 30 November 2023 | 11:00 AM - 1:30 PM | Dubai Knowledge Park | 2250 USD |
Course Description
In an era where artificial intelligence is not just an advantage but a necessity, “Generative AI for Decision Makers: Innovating Across Sectors” stands as a pivotal learning experience for business leaders and professionals across industries. This intensive course provides a deep dive into the world of generative AI, introducing participants to its core functions, potential applications, and limitations.
Participants will engage in an interactive learning environment that includes lectures, hands-on exercises, and real-world case studies, all aimed at equipping them with the knowledge to apply generative AI within their own contexts. This course transcends theoretical discussions, offering actionable insights and skills such as effective prompt engineering and advanced AI utilization strategies.
Course Outline
Audience
Prerequisites
After the Course
Course Outline
Module 1 – Introduction to Generative AI
- Welcome and Course Overview
- Understanding How Generative AI Works
- Engaging with Large Language Models as Cognitive Partners
- Grasping AI as a General-Purpose Technology
- Interactive Applications: Writing, Reading, and Conversing with AI
- Defining the Capabilities and Limitations of LLMs
- Mastering the Art of Prompt Engineering
- Exploring the World of AI-Generated Imagery
Module 2 – Generative AI Projects
- Integrating Generative AI into Software Ecosystems
- Practical Coding with Generative AI (Optional)
- Comprehending the Lifecycle of a Generative AI Project
- Cost Management and Efficiency in AI Projects
- Retrieval Augmented Generation: A Closer Look
- Techniques for Fine-Tuning AI Models
- Insights into Pretraining LLMs
- Strategies for Choosing the Right AI Model
- Advanced AI Techniques: Instruction Tuning and Reinforcement Learning
- AI Tools as Autonomous Agents (Optional)
Module 3 – Generative AI in Business and Society
- Adopting LLMs for Daily Business Operations
- Analytical Frameworks for AI in Job Tasks
- Identifying New Workflows and Opportunities Through AI
- Building Effective Teams for AI Software Development
- Evaluating Automation Potential Across Various Industries
- Confronting the Societal and Ethical Questions of AI
- Debating the Reality and Myths Around Artificial General Intelligence
- Advocating for Responsible AI Development and Usage
- Course Recap and Envisioning an AI-Enhanced Future
Audience
Course Audience
- Business leaders and entrepreneurs seeking to leverage generative AI for innovation and competitive advantage.
- Product managers and project leads overseeing AI and software development initiatives.
- Strategy and innovation specialists interested in integrating AI into business processes and product offerings.
- Policy makers and thought leaders focusing on the societal impact of emerging technologies.
- Software developers and technical team members interested in the practical applications of generative AI models.
- Marketing professionals looking to utilize AI for content creation and customer engagement.
- Educators and trainers tasked with upskilling workforce in AI competencies.
- Data scientists and analysts aiming to deepen their understanding of generative AI’s capabilities.
- AI enthusiasts and hobbyists eager to explore the latest advancements in generative models and their applications.
Prerequisites
Course Prerequisites for Business Professionals
- Basic understanding of business processes and strategies.
- Experience with digital technology in a business context.
- Interest in leveraging AI for business innovation and competitive advantage.
- Some familiarity with data analysis and interpretation.
- No prior technical or programming skills required, but a willingness to learn about AI applications in business.
- Access to a computer with internet connection for interactive sessions and online collaboration.
After the Course
Learning Outcomes
- Understand the fundamental concepts of GPT-3 and GPT-4 models and their implications in business.
- Ability to identify opportunities for integrating GPT technologies into various business functions.
- Develop strategic insights on enhancing customer engagement through AI-driven chatbots and text generation.
- Gain practical knowledge on how to leverage GPT models for market analysis and sentiment assessment.
- Adept at initiating and managing conversations around ethical AI use within organizational contexts.
- Equipped to make informed decisions about investing in AI technologies for long-term business growth.
- Prepared to guide cross-functional teams on the implementation of GPT-driven solutions.
- Confidence in discussing the potential and limitations of AI with stakeholders to set realistic expectations.
Testimonials
The workshop on big data and machine learning was an excellent introduction to practitioners considering using data science. Ahmed demonstrated considerable teaching talent rooted in his long expertise with systems development.
Very rewarding course. Rare to find a Deep learning course in Dubai that teaches concepts from scratch and provides practical applications. Will definitely recommend.
