In-person Training
DataCamp Masterclass AI Fundamentals
Learn to leverage AI in this full-day in-person workshop and equip your organization with the fundamentals for growth through AI.
- September 25, 2024
- 8:30 AM – 5:00 PM
- Washington D.C.
- Full day of AI training
Earn an Industry-Recognized Certification
At the end of your session, you'll receive an industry-recognized AI Fundamentals certification, endorsed by leading experts, along with one year of free access to DataCamp.
- Enhance your professional credibility
- Expand your career opportunities
- Stay ahead of industry trends
Key Details
Gain a comprehensive understanding of AI fundamentals and strategies to scale AI while enhancing data maturity with best practices in management, analytics, and governance.
-
- Master the basics, including machine learning and generative AI.
- Discover how to implement and scale AI within your teams.
- Gain tools for AI governance and ethical deployment.
- Learn to prioritize AI initiatives for maximum impact.
Agenda
Understanding Machine Learning
In the first session, participants will explore machine learning fundamentals, including supervised, unsupervised, and reinforcement learning. They’ll learn to select appropriate models, understand when machine learning is beneficial, and identify common pitfalls. Strategies for successful deployment to create business value will also be covered.
Learning Objectives
- Understand the basics of machine learning, including its definition and core principles.
- Identify and differentiate between the various types of machine learning, including supervised, unsupervised, and reinforcement learning.
- Recognize which machine learning models are most suitable for specific tasks and scenarios.
- Determine appropriate situations for using machine learning and recognize when alternative methods may be more effective.
- Identify common pitfalls in machine learning and learn strategies to maximize business value through its effective implementation.
Understanding Generative AI
How generative AI models work—clarifying their functions, capabilities, and limitations. The session will dispel misconceptions, showcasing real-world use cases to illustrate the impact and applications of generative AI. Attendees will gain practical knowledge to evaluate and leverage these technologies effectively.
Learning Objectives
- Explore the inner workings of generative AI models and understand their underlying mechanisms.
- Clarify the true nature of generative AI, distinguishing between its capabilities and limitations.
- Identify and analyze practical use cases for generative AI across different industries.
Operationalizing AI Use Cases
Discover how to effectively operationalize AI use cases using a framework for prioritizing and deploying projects. The session will cover AI governance best practices, including compliance, ethics, and risk management, along with strategies for scoping projects and assessing their ROI to maximize impact.
Learning Objectives
- Learn a framework for deploying and prioritizing AI use cases to maximize organizational impact.
- Understand AI governance best practices and explore different governance mechanisms to ensure compliance and ethical considerations.
- Develop skills to scope AI projects and evaluate their return on investment effectively.
Scaling Your Agency’s Data & AI Maturity
Closing the day, participants will cover strategies to scale their agency's data and AI maturity through a comprehensive framework. They’ll learn to assess their current maturity level, identify areas for improvement, and implement practical steps to enhance capabilities to foster growth and innovation.
Learning Objectives
- Understand a framework for building data and AI maturity within your organization.
- Learn strategies to advance your organization’s data and AI maturity.
- Develop skills to assess your organization’s current level of data and AI maturity.
- Identify and implement tactical steps to enhance your agency’s data and AI maturity today.
Session Leader
Adel Nehme
VP of Media at DataCamp