Cambridge, MA – Regus at Harvard Square

One Mifflin Place, Suite 400, Cambridge, United States, 02138

The venue is ideally situated in the heart of Harvard Square at One Mifflin Place, easily accessed by car via Route 2, MA‑2A, or Memorial Drive, with pay-to-park garages and metered street spaces nearby. From Boston Logan International Airport (BOS), taxis or rideshares take approximately 25–30 minutes via I‑90 West and Cambridge Street. Alternatively, public transit offers seamless connections: take the MBTA Red Line to Harvard station, and the entrance is a 3-minute walk from the square, providing effortless access for attendees without cars.

Explore Our Courses

Explainable AI (XAI) for Ethical AI Development

 14 Hours

This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level professionals who wish to apply Explainable AI techniques to ensure fairness, transparency, and ethical AI systems for government.

By the end of this training, participants will be able to:

  • Understand the role of XAI in ethical AI systems within public sector workflows.
  • Implement XAI techniques to detect and mitigate bias in AI models for government applications.
  • Ensure transparency in AI model decision-making processes to enhance accountability for government operations.
  • Align AI development with ethical and regulatory standards for government compliance.
Read more...

Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours

This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level professionals who wish to explore state-of-the-art XAI techniques for deep learning models, with a focus on building interpretable AI systems for government.

By the end of this training, participants will be able to:

  • Comprehend the challenges associated with explainability in deep learning.
  • Apply advanced XAI techniques to neural networks.
  • Analyze decisions made by deep learning models.
  • Assess the trade-offs between performance and transparency in AI systems for government.
Read more...

Advanced Techniques in Explainable AI (XAI)

 21 Hours

This instructor-led, live training in Cambridge (online or onsite) is designed for advanced-level professionals who wish to deepen their understanding of Explainable Artificial Intelligence (XAI) techniques for complex AI models.

By the end of this training, participants will be able to:

  • Implement state-of-the-art XAI techniques in AI models.
  • Interpret the decisions made by deep learning models.
  • Apply advanced model-agnostic and model-specific explainability methods.
  • Address challenges related to AI transparency in complex systems, ensuring alignment with public sector workflows for government.
Read more...

Explainable AI (XAI) for Transparency in AI Models

 21 Hours

This instructor-led, live training in Cambridge (online or onsite) is designed for intermediate to advanced-level professionals who aim to implement transparent artificial intelligence systems in real-world applications for government.

By the end of this training, participants will be able to:

  • Comprehend the significance of transparency in AI models.
  • Apply advanced explainable AI (XAI) techniques to interpret complex models.
  • Improve model transparency using SHAP, LIME, and other tools for government applications.
  • Tackle ethical concerns and ensure fairness in AI models for government use.
Read more...

Introduction to Explainable AI (XAI) for Beginners

 14 Hours

This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level professionals who wish to learn the basics of Explainable AI and its role in developing responsible AI systems for government.

By the end of this training, participants will be able to:

  • Understand the fundamental concepts of Explainable AI.
  • Explore the importance of transparency and interpretability in AI models within public sector workflows.
  • Learn basic techniques for making AI models explainable, ensuring alignment with governance and accountability standards.
  • Apply XAI techniques to simple machine learning models, enhancing their applicability for government use.
Read more...

Last Updated:

Upcoming Courses

Explainable AI (XAI) for Transparency in AI Models

2026-01-19 09:30
21 hours
Cambridge, MA – Regus at Harvard Square
$ 4054 (Online)
$ 5854 (Classroom)

Advanced Techniques in Explainable AI (XAI)

2026-02-02 09:30
21 hours
Cambridge, MA – Regus at Harvard Square
$ 4054 (Online)
$ 5854 (Classroom)

Explainability in Deep Learning: Demystifying Black-Box Models

2026-02-16 09:30
21 hours
Cambridge, MA – Regus at Harvard Square
$ 4054 (Online)
$ 5854 (Classroom)

Explainability in Deep Learning: Demystifying Black-Box Models

2026-03-02 09:30
21 hours
Cambridge, MA – Regus at Harvard Square
$ 4054 (Online)
$ 5854 (Classroom)

Other regions in US Empire

Other Countries

These courses are also available in other countries

Consulting

Explainable AI (XAI) Consulting
Online Explainable Artificial Intelligence training in Cambridge, Explainable Artificial Intelligence training courses in Cambridge, Weekend Explainable AI (XAI) courses in Cambridge, Evening Explainable Artificial Intelligence training in Cambridge, Explainable AI instructor-led in Cambridge, Explainable Artificial Intelligence trainer in Cambridge, XAI (Explainable AI) instructor in Cambridge, Explainable Artificial Intelligence instructor-led in Cambridge, Evening XAI (Explainable AI) courses in Cambridge, XAI (Explainable AI) classes in Cambridge, Explainable AI (XAI) coaching in Cambridge, XAI (Explainable AI) boot camp in Cambridge, Explainable AI (XAI) on-site in Cambridge, Explainable Artificial Intelligence one on one training in Cambridge, Online Explainable Artificial Intelligence training in Cambridge, Explainable AI (XAI) private courses in Cambridge, Weekend Explainable AI training in Cambridge