The Introduction to Artificial Intelligence and Machine Learning short course is a captivating exploration into the cutting-edge domains shaping the future of technology. Throughout this 2-day short course, we will unravel the mysteries surrounding Artificial Intelligence (AI) and Machine Learning (ML). As we navigate through the course, participants will gain an understanding of the fundamental concepts underpinning AI, tracing its historical roots and evolution. From intelligent agents and problem-solving to the dynamic landscape of machine learning algorithms, participants will acquire the knowledge necessary to comprehend the intricate web of technologies defining AI ad ML.

This course doesn’t merely stop at theory; it extends into the practical applications of AI and ML across various industries, providing insights into the ethical considerations that accompany these powerful technologies. Participants will be introduced to real-world use cases, fostering a deep appreciation for the impact of AI and ML in fields such as business, healthcare, and finance. Furthermore, we’ll explore emerging trends, including deep learning and natural language processing, offering a glimpse into the exciting future of intelligent systems. By the end of this short course, participants will not only have acquired a solid theoretical foundation but will also be well-equipped to engage with and contribute to the ever-evolving landscape of AI and ML.

This is an intensive short-course that will be delivered in-person over 2-days.

Day 1 from 9:30am to 4pm you will be introduced to the fundamental concepts and principles of Artificial Intelligence and Machine Learning. Day 1 will be delivered through a lecture/tutorial style model where you will be taught by leading experts in the field of AI and Machine Learning who will explain the history of AI, application areas and how AI and Machine Learning is used in industry and business. The concepts of frameworks, technology and understanding AI and Machine Learning will be delivered.

Day 2 from 9:30am to 4pm will deliver the practical application of AI and Machine Learning. You will be taught in a workshop/lab style delivery where you will get hands on experience with the frameworks, techniques and technologies needed to use and apply AI and Machine Learning. You will develop code and apply models to read work data to understand how this technology could be used in business and real-world applications.

Topics

Day 1: Foundation of AI and ML

Introduction to AI and ML:

• Defining AI and its applications
• Understanding the role of Machine Learning in AI

Historical Perspectives and Milestones:

• Tracing the evolution of AI from its origins
• Exploring significant milestones in AI development

Foundations of AI:

• Concepts of intelligent agents and problem-solving
• Decision-making in artificial intelligence

Machine Learning Fundamentals:

• Overview of machine learning and its types
• Differentiating supervised, unsupervised, and reinforcement learning

Day 2: Applications, Ethics, and Future Trends

Key Components of AI and ML:

• The importance of quality data in machine learning
• Overview of common machine learning algorithms

Applications and Impact of AI:

• Real-world applications across industries
• Understanding the transformative impact of AI and ML

Ethical Considerations:

• Examining bias, fairness, and ethical challenges in AI
• Addressing privacy and security concerns

Future Trends and Innovations:

• Exploring emerging technologies in AI
• Discussing the future landscape of artificial intelligence