Burlington, VT – Regus at Williston

300 Interstate Corporate Center, Suite 200, Burlington, United States, 05495

The venue is located in suburban Williston’s Interstate Corporate Center, accessible by car via US 2 or I‑89 with free on-site parking available. From Burlington International Airport (BTV), only about 5 miles away, taxis or rideshares take approximately 10 minutes via Williston Road. Public transit is served by Green Mountain Transit Route 2A, with a stop right outside the corporate center, offering convenient access for attendees traveling without a car.

Montpelier, VT – Local 64

43 State Street, 2ndFloor, Montpelier, United States, 05602

The venue is located at 43 State Street, on the second floor west side, right in downtown Montpelier near the Vermont State House. Easily reached by car via I‑89 or US 2, there is nearby metered street parking and municipal lots. From Burlington International Airport (BTV), about 36 miles northwest, taxis or rideshares typically take around 45 minutes south via I‑89. Public transit is available via Green Mountain Transit buses stopping on State or Main Street, placing the center within a short walk for those arriving without a car.

Winooski, VT – MyCube at Champlain Mill

20 Winooski Falls Wy, Suite 302, Winooski, United States, 05404

The venue is located in the historic Champlain Mill on Winooski Falls Way, perched above scenic Winooski Falls, easily accessed by car via I‑89 or US 2, with free on-site parking available. From Burlington International Airport (BTV), around 3 miles east, taxis or rideshares take about 10–15 minutes via Williston Road. Public transit is facilitated by Green Mountain Transit routes 2 and 4, which stop nearby on Riverside Avenue and Church Street—only a short walk to the site.

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Explainable AI (XAI) for Ethical AI Development

 14 Hours

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

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

  • Understand the role of XAI in ethical AI systems.
  • Implement XAI techniques to detect and mitigate bias in AI models.
  • Ensure transparency in AI model decision-making processes.
  • Align AI development with ethical and regulatory standards.
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Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours

This instructor-led, live training in Vermont (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.

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

  • Understand the challenges of explainability in deep learning.
  • Implement advanced XAI techniques for neural networks.
  • Interpret decisions made by deep learning models.
  • Evaluate the trade-offs between performance and transparency.
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Advanced Techniques in Explainable AI (XAI)

 21 Hours

This instructor-led, live training in Vermont (online or onsite) is aimed at advanced-level professionals who wish to enhance their understanding of 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 deep learning models and their decisions.
  • Apply advanced model-agnostic and model-specific explainability methods.
  • Address challenges related to AI transparency in complex systems.
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Explainable AI (XAI) for Transparency in AI Models

 21 Hours

This instructor-led, live training in Vermont (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to implement transparent AI systems in real-world applications.

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

  • Understand the importance of transparency in AI models.
  • Implement advanced XAI techniques to interpret complex models.
  • Enhance model transparency using SHAP, LIME, and other tools.
  • Address ethical concerns and fairness in AI models.
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Introduction to Explainable AI (XAI) for Beginners

 14 Hours

This instructor-led, live training in Vermont (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.

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.
  • Learn basic techniques for making AI models explainable.
  • Apply XAI techniques to simple machine learning models.
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Upcoming Courses

Explainable AI (XAI) for Ethical AI Development

2025-08-07 9:30 am
14 hours
Winooski, VT – MyCube at Champlain Mill
$ 2703 (Online)
$ 2703 (Classroom)

Explainability in Deep Learning: Demystifying Black-Box Models

2025-08-25 9:30 am
21 hours
Winooski, VT – MyCube at Champlain Mill
$ 4054 (Online)
$ 4054 (Classroom)

Advanced Techniques in Explainable AI (XAI)

2025-09-08 9:30 am
21 hours
Winooski, VT – MyCube at Champlain Mill
$ 4054 (Online)
$ 4054 (Classroom)

Introduction to Explainable AI (XAI) for Beginners

2025-09-18 9:30 am
14 hours
Winooski, VT – MyCube at Champlain Mill
$ 2703 (Online)
$ 2703 (Classroom)

Introduction to Explainable AI (XAI) for Beginners

2025-10-02 9:30 am
14 hours
Winooski, VT – MyCube at Champlain Mill
$ 2703 (Online)
$ 2703 (Classroom)

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