5 reasons leadership training should be for all employees
Regardless of the myth that "leaders are born and not created," skills can be taught and improved through leadership training. Developi...
Interactive training sessions led by experienced facilitators.
What is In-Person, Instructor-Led Training?
Our in-person training is delivered by a live facilitator who works directly with your team at your location. It’s our most popular format because it allows for real-time interaction, hands-on learning, and direct support.
Every session is tailored to your team’s specific goals, industry, and challenges—no generic, one-size-fits-all programs. Whether it’s a single session or a full training series, we design the experience to be relevant, practical, and fully aligned with your needs.
What is Live Webinar Training?
Live webinars are facilitator-led training sessions delivered online in real time. They’re ideal for teams working in different locations or with busy schedules.
This format offers shorter, more frequent sessions that are easy to coordinate—making it a convenient option for organizations with remote or distributed teams.
What is Virtual Classroom Training?
Virtual Classroom training is live, instructor-led training delivered online. It offers the same interactive experience as in-person sessions, with real-time discussions, group activities, and instructor feedback.
It’s a flexible option for organizations that want to reduce travel, save costs, or better fit training into busy schedules.
What is a Lunch & Learn Session?
Lunch & Learn sessions are short, facilitator-led training sessions delivered in person or online—typically during the lunch hour. They focus on specific topics or skills and offer a quick, engaging way to learn without a full-day commitment.
These sessions can be offered as one-time events or as part of a series, making them a great option for ongoing, bite-sized learning.
Online Learning
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Be the First to Know when this Course is available in our Online Learning Format
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AI and Problem Solving
Balancing the use of data with human problem solving requires a nuanced approach that recognizes the strengths and limitations of both. By integrating data with human judgment, fostering cross-functional collaboration, and building a data-literate culture, organizations can solve problems in a more informed, ethical, and sustainable way.
This course introduces Artificial Intelligence (AI) and its role in solving real-world problems. Participants will explore key AI concepts, tools, and technologies such as machine learning, data-driven decision-making, and popular AI platforms. The course covers practical aspects such as building and integrating AI models, ethical considerations such as bias and privacy, and the future impact of AI on industries and employment.
What Will Be Covered
LEARNING OBJECTIVES
This one-day workshop will help you teach participants how to:
- Understand the fundamentals of AI and its capacity for solving problems.
- Use specific AI tools and technologies that facilitate problem-solving.
- Explain how machine learning models are developed and used in AI solutions.
- Implement AI solutions in real-world problem-solving scenarios.
- Discuss the ethical implications of using AI in problem-solving.
- Speculate on future trends and the evolving role of AI in solving complex problems.
- Apply the knowledge and skills that are learned to a real or simulated problem.
A Deeper Look
COURSE OUTLINE
A breakdown of each session included in this course.
Course Overview
You will spend the first part of the day getting to know participants and discussing what will take place during the workshop. Students will also have an opportunity to identify their personal learning objectives.
Introduction to AI and Problem-Solving
In this session, students will gain a foundational understanding of how AI can mimic human intelligence to solve problems. They will explore key concepts such as machine learning, natural language processing, and computer vision, and understand how these technologies apply to real-world scenarios.
AI Tools and Technologies
In this session, students will be introduced to popular AI platforms and tools including TensorFlow, PyTorch, and cloud-based solutions from Microsoft, Google, and Amazon. They will learn about the features and capabilities of these tools and how they can be used to build AI applications.
Data-Driven Problem-Solving
In this session, students will explore techniques for data collection, cleaning, and preparation, ensuring that data used in AI models is high-quality and relevant. The session will also cover methods of transforming raw data into actionable insights and visualizing AI outputs for better decision-making.
Machine Learning Models in Problem-Solving
In this session, students will learn about the three main types of machine learning — supervised, unsupervised, and reinforcement learning — and their practical applications. The session will include discussions on how these models can be applied to solve various business problems.
Implementing AI Solutions
In this session, students will focus on integrating AI into existing workflows and systems, with emphasis on aligning AI solutions with business goals, conducting pilot tests, and scaling up AI implementations. They will also learn strategies for managing data privacy, ethical concerns, and potential challenges during integration.
Ethical Considerations in AI Problem-Solving
In this session, participants will delve into the ethical issues surrounding AI, including bias, fairness, and privacy. They will explore how to balance AI-driven decisions with human judgment, ensuring that AI solutions are both effective and ethically sound.
Future of AI in Problem-Solving
In this session, students will examine emerging AI technologies and their potential to transform industries. They will discuss the impact of AI on the future of work, including how AI will shape industries such as healthcare, finance, and retail.
Preparing for an AI-Driven Future
In this session, participants will learn how to adapt to a rapidly evolving AI landscape. They will explore strategies to stay competitive in an AI-driven world, including upskilling in AI technologies and staying informed about the latest AI developments.
Workshop Wrap-Up
At the end of the course, students will have an opportunity to ask questions and fill out an action plan.
