Detroit, MI - Renaissance Center

400 Renaissance Center, Detroit, United States, 48243

The GM Renaissance Center is conveniently located in downtown Detroit and easily accessed by car via Interstates 75 or 94, with secure underground parking available on site. Travelers flying into Detroit Metropolitan Airport (DTW) can expect a 25–30 minute trip by taxi or rideshare via I‑94. Public transit is efficient: the Detroit People Mover stops directly at the Renaissance Center station, and DDOT routes 3 and 9 serve nearby Jefferson Avenue. Pedestrian skywalks provide safe indoor access from downtown hotels, parking garages, and the riverwalk.

Ann Arbor, MI – Regus - South State Commons I

2723 S State St, Ann Arbor, United States, 48104

Regus South State Commons I is conveniently located off I‑94 via Exit 177 (State Street), with easy access to downtown Ann Arbor and surrounding suburbs. The building offers free on-site surface parking for guests. From Detroit Metropolitan Airport (DTW), the venue can be reached in approximately 20–25 minutes by taxi or rideshare via I‑94 West. Local public transit service (TheRide) operates Route 24 along South State Street, with a stop within a short 2-minute walk of the building.
NobleProg Training Place, City Grand Rapids, MI - Regus – Calder Plaza

Grand Rapids, MI - Regus – Calder Plaza

250 Monroe Ave NW, Grand Rapids, United States, 49503

The venue sits centrally at 250 Monroe Avenue NW in downtown Grand Rapids, easily accessed by car via US‑131 or I‑196—with connections via Monroe or Ottawa exits—and offers shared underground and surface parking. From Gerald R. Ford International Airport, take I‑96 East then I‑196 West into the city; the drive is about 20 minutes. Public transit through Rapid bus routes stops near Monroe or Ottawa Avenue, just a short walk from the Regus entrance; the downtown area is pedestrian-friendly.
NobleProg Training Place, City Lansing, MI - Regus - One Michigan Avenue

Lansing, MI - Regus - One Michigan Avenue

120 North Washington Square, Lansing, United States, 48933

The venue is located in the heart of Lansing’s central business district at 120 North Washington Square, easily accessible by car via I‑496 or US‑127 with convenient street parking and a nearby parking ramp. From Capital Region International Airport (LAN), the location is approximately a 12‑minute drive west via I‑96 and US‑127, with taxis and rideshares readily available. Public transit users can take CATA bus routes that stop just a block away on Washington or Grand Avenue, offering seamless access to the venue.

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Generative AI and Agentic AI

 14 Hours

Generative AI and Agentic AI are two powerful paradigms driving the next wave of automation and intelligence — one focused on content generation and the other on goal-driven, autonomous behavior.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI and technical professionals who wish to understand how to build, evaluate, and integrate generative and agentic AI into real-world applications.

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

  • Understand the architecture and capabilities of generative AI systems.
  • Explore the rise of autonomous AI agents and how they extend LLMs.
  • Use prompt engineering and tool integrations for practical deployments.
  • Compare models, tools, and techniques for responsible deployment.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of generative and agentic AI tools in real-world scenarios.
  • Guided exercises focused on content generation and autonomous workflows.

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Enhancing AI Agents with Agentic Capabilities

 14 Hours

This instructor-led, live training in Michigan (online or onsite) is aimed at intermediate-level AI developers and automation specialists who wish to integrate agentic capabilities into AI-powered applications.

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

  • Understand the principles of agentic AI and autonomous decision-making.
  • Implement goal-driven AI agents with self-optimization techniques.
  • Integrate multi-agent collaboration for complex problem-solving.
  • Enhance AI-human interaction through adaptive user experiences.
  • Deploy agentic AI models in real-world applications.
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Agentic AI in Multi-Agent Systems

 14 Hours

This instructor-led, live training in Michigan (online or onsite) is aimed at advanced-level professionals who wish to develop and optimize multi-agent systems using Agentic AI frameworks.

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

  • Understand the principles of Agentic AI in multi-agent environments.
  • Develop AI-driven agents that interact autonomously.
  • Implement reinforcement learning for adaptive AI behavior.
  • Optimize multi-agent collaboration and competition.
  • Apply Agentic AI in robotics, gaming, and enterprise automation.
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Agentic AI for Enterprise Applications

 14 Hours

This instructor-led, live training in Michigan (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

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

  • Understand the role of Agentic AI in enterprise applications.
  • Integrate autonomous AI agents with enterprise systems.
  • Optimize AI-driven workflows for scalability and efficiency.
  • Ensure compliance, security, and governance in AI automation.
  • Develop AI-driven business strategies for digital transformation.
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Autonomous Decision-Making with Agentic AI

 14 Hours

This instructor-led, live training in Michigan (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

  • Understand the principles of autonomous decision-making in AI.
  • Design and implement AI agents that operate with minimal human intervention.
  • Integrate Agentic AI into automation workflows and business systems.
  • Optimize AI-driven decision processes for efficiency and scalability.
  • Ensure compliance, security, and ethical considerations in AI autonomy.
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Building Agentic AI Systems: From Theory to Practice

 14 Hours

This instructor-led, live training in Michigan (online or onsite) is aimed at intermediate-level AI engineers, ML researchers, and developers who wish to build and implement Agentic AI systems in real-world applications.

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

  • Understand the core principles of Agentic AI systems.
  • Implement AI agents capable of autonomous reasoning and action.
  • Integrate Agentic AI with APIs and third-party services.
  • Optimize multi-agent interactions for complex tasks.
  • Address ethical, security, and scalability challenges in Agentic AI.
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Understanding Agentic AI: Concepts and Capabilities

 7 Hours

This instructor-led, live training in Michigan (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

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

  • Understand the core principles of Agentic AI.
  • Differentiate between traditional AI and autonomous AI agents.
  • Explore real-world applications of Agentic AI in various industries.
  • Assess the benefits and challenges of deploying autonomous AI systems.
  • Analyze the ethical and security considerations of Agentic AI.
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Upcoming Courses

Agentic AI in Multi-Agent Systems

2025-08-11 9:30 am
14 hours
Ann Arbor, MI – Regus - South State Commons I
$ 2703 (Online)
$ 3703 (Classroom)

Enhancing AI Agents with Agentic Capabilities

2025-08-25 9:30 am
14 hours
Ann Arbor, MI – Regus - South State Commons I
$ 2703 (Online)
$ 3703 (Classroom)

Autonomous Decision-Making with Agentic AI

2025-09-08 9:30 am
14 hours
Ann Arbor, MI – Regus - South State Commons I
$ 2703 (Online)
$ 3703 (Classroom)

Agentic AI in Multi-Agent Systems

2025-09-22 9:30 am
14 hours
Ann Arbor, MI – Regus - South State Commons I
$ 2703 (Online)
$ 3703 (Classroom)

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