Welcome to the first edition of our Product Pulse—your chance to get an at-a-glance view into important enterprise news, new General Assembly products, updates, and more month over month. Without further ado, let’s get into it.
September monthly snapshot
We’ve expanded our enterprise off-the-shelf upskilling product portfolio, including the addition of two new workshops:
1. AI for Leaders Workshop
What did we develop?
This new-release, four-hour workshop is aimed to enhance leaders’ understanding of AI and generative AI use cases. The workshop introduces leaders to prompt-writing techniques and bolsters their confidence in making decisions related to AI deployment. Additionally, it strategically addresses where GenAI can serve as a pivotal tool within your organization, guiding your team’s initial efforts toward the most valuable applications of AI.
Who is this product for?
C-suite executives and senior management looking to integrate AI into their business, plus innovation and strategy officers seeking to stay ahead in the market with help from AI.
Why is this new release critical?
AI is C-suite’s top digital priority. More than two-thirds of leaders across industries expect their organizations to increase their AI investment over the next three years.
How is this new release different from other products offered by competitors?
Our AI for Leaders Workshop was built by subject matter experts with real-world experience in AI, prompt engineering, data analysis, workflow automation, and more. It goes beyond theory and teaches practical application to move forward with confidence. We’ve helped many companies through data-driven transformations, and AI is no different. True transformation comes from the top, which is why this program focuses on leaders to support strategic decision making and better understanding of AI.
What are the top three reasons your team needs our AI for Leaders Workshop?
- Enable leaders to understand the power of AI.
- Develop AI fluency among leaders to successfully incorporate it in your organization.
- Create a strategy to take advantage of AI capabilities ethically and legally.
2. Fundamentals of Applied Machine Learning Workshop
What did we develop?
This new release offers a comprehensive introduction to neural networks, guiding participants from understanding fundamental concepts to implementing advanced techniques for optimizing model performance.
Who is this product for?
Our Fundamentals of Applied Machine Learning Workshop is designed for data scientists and machine learning engineers who have a solid grounding in Python and basic machine learning concepts.
Why is this new release critical?
The global Machine Learning market size was valued at $19.20 billion in 2022. The market is expected to grow from $26.03 billion in 2023 to $225.91 billion by 2030, at a CAGR of 36.2%. Machine learning engineer jobs in the U.S. alone are also projected to see a 31% growth from 2019 to 2029.
How is this new release different from other products offered by competitors?
Our Fundamentals of Applied Machine Learning Workshop was developed in collaboration with industry experts in deep learning and AI to ensure immediate relevant, real-work impact. Our workshop leverages three key components:
- Projects, labs, and assignments: All mimicking real-world AI and machine learning tasks, such as building neural networks, applying regularization techniques, and visualizing model training.
- Case studies and examples: Demonstrating how businesses apply neural networks for predictive analytics, automation, and AI-driven decision-making.
- Regular feedback and touchpoints: Ongoing interactions with instructors and peers to ensure mastery of neural network concepts and successful application in practical scenarios.
What are the top three reasons your team needs our Fundamentals of Applied Machine Learning Workshop?
- Employees will gain expertise in neural networks, enabling them to contribute effectively to AI and machine learning projects.
- Participants will learn to implement neural networks and apply regularization techniques for better model accuracy and efficiency.
- Employees can quickly develop, visualize, and deploy neural networks, reducing project timelines.
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