Agile AI Boot Camp

Agile AI Boot Camp

Dr. Elwanda Bennett is the VP of Professional Development and a SAP Certified Solution Manager Consultant with 20+ years of SAP functional consulting experience with expertise in configuration and design of custom reports interfaces, data conversions and enhancements (RICEF-W objects).

Topic Synopsis:

An Agile AI Bootcamp is an intensive, hands-on learning experience designed to equip participants with the skills and knowledge needed to apply artificial intelligence (AI) techniques in agile project environments. Here’s a comprehensive overview of what you can expect from such a bootcamp: trying to entertain and educate two small children.

1. Introduction to Agile Methodologies: Participants will receive an overview of agile principles and practices, focusing on how these can be integrated with AI projects. The bootcamp will likely cover key agile methodologies such as Scrum, Kanban, and Lean, emphasizing iterative development, collaboration, and adaptability.
2. AI and Machine Learning Fundamentals: Expect a deep dive into AI and machine learning (ML) basics, including supervised and unsupervised learning, neural networks, natural language processing, and computer vision. This foundation is crucial for understanding how AI solutions can be developed and deployed.
3. Hands-On Projects: A core component of the bootcamp will be practical, hands-on projects. These projects will enable participants to apply AI and ML techniques to real-world problems, integrating agile principles throughout the project lifecycle. This could involve developing AI models, tuning algorithms, or deploying AI solutions in a controlled environment.
4. Tools and Technologies: Participants will learn to use a range of tools and technologies essential for AI development in an agile context. This might include AI frameworks and libraries (like TensorFlow, PyTorch, or scikit-learn), agile project management tools (such as Jira or Trello), and version control systems (like Git). The bootcamp would also cover the use of cloud platforms for AI model development and deployment.
5. Collaboration and Communication: Given the team-based nature of agile methodologies, expect to engage in activities that enhance collaboration and communication skills. This might include participating in daily stand-ups, sprint planning meetings, and retrospectives, all within the context of AI project development.
6. Ethical Considerations: An Agile AI Bootcamp should also address the ethical implications of AI, including data privacy, bias, and fairness. Understanding these aspects is critical to ensuring that AI solutions are developed responsibly and sustainably.
7. Industry Insights: The bootcamp may provide insights into how various industries implement AI in agile environments. This could include case studies or guest lectures from professionals who have successfully integrated AI and agile practices in fields like finance, healthcare, or technology.
8. Career Guidance: Finally, participants can expect some form of career guidance, whether it’s advice on navigating the AI job market, building a portfolio of AI projects, or networking with industry professionals.

Learning Objectives:

By the end of the Agile AI Bootcamp, participants should have a solid understanding of how to apply AI techniques in agile settings, possess hands-on experience with real-world AI tools and projects, and be prepared to contribute effectively to AI initiatives in their organizations or future roles.

1. **Demonstrate Proficiency in Integrating AI and Agile Methodologies**: By the end of the bootcamp, participants will be able to demonstrate their ability to integrate artificial intelligence techniques within agile frameworks. They will illustrate this through the successful planning, execution, and delivery of an AI project, employing agile practices such as iterative development, continuous feedback, and cross-functional collaboration.
2. **Apply AI Techniques to Solve Real-World Problems**: Participants will acquire the skills to apply machine learning algorithms and AI methodologies to address actual business or societal challenges. They will showcase their proficiency by developing, training, and deploying AI models that provide tangible solutions, demonstrating a clear understanding of the end-to-end process of AI problem-solving in a real-world context.
3. **Utilize Industry-Standard AI Tools within Agile Environments**: By the conclusion of the bootcamp, learners will demonstrate competence in using essential AI and machine learning tools and technologies within the context of agile project management. This includes effectively utilizing AI frameworks, version control systems, and agile project management software to collaboratively design, develop, and deploy AI solutions in a team-based setting.

PDU Triangle: 

Earn 4 Ways of Working PDUs

Registration Discounts:

Student and unemployed pricing ($50) is available. Please contact the This email address is being protected from spambots. You need JavaScript enabled to view it. to register with the discounted pricing. Students will need to show their active Student ID.