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Date: Sep 16, 2026 – Sep 17, 2026   Location:
 

Managing Generative AI Projects

Plan and lead generative AI initiatives that differ fundamentally from traditional software projects. GenAI project foundations cover fuzzy objectives, exploratory scoping, data as both dependency...

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$2,000USD
Duration 2 days
Course Code GAI-2301
Available Formats Classroom, Virtual
Next Class: Sep 16, 2026

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Overview

Course Description

Plan and lead generative AI initiatives that differ fundamentally from traditional software projects. GenAI project foundations cover fuzzy objectives, exploratory scoping, data as both dependency and deliverable, the AI system development lifecycle, common AI actors, and ROI quantification. Project planning, scoping, and team leadership cover data cards, iterative development planning, communication strategies, model selection as a planning concern, AI lifecycle actors, project-management challenges, R&D cadence, cost-effectiveness ratios, and Communities of Innovation. Communicating AI work covers translating technical concepts for non-technical audiences, reporting performance metrics with uncertainty and risk, visualizing progress, managing R&D expectations, preparing project reports, and using AI tools to accelerate communication. Risk management and the legal and organizational implications cover the NIST RMF foundations and AI-specific extensions, data-privacy regulations, liability, responsible-AI policies, and case studies. Hands-on labs produce a GenAI project plan, a stakeholder communication plan, a Responsible-AI maturity assessment, and a project-management case-study analysis. The course is designed for project and program managers, senior managers, and product leads owning GenAI initiatives.

Skills Gained

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

  • Apply project management techniques tailored to generative AI’s exploratory nature
  • Scope GenAI projects to align with measurable business goals
  • Lead and coordinate AI project teams across data science, engineering, and product
  • Address ethical considerations and legal implications throughout the project lifecycle
  • Communicate AI progress and outcomes to non-technical stakeholders

Who Can Benefit

This course is designed for:

  • Project or Program Managers
  • Senior Managers

Prerequisites

Participants should enter this course with:

  • Practical project management experience
  • GAI-1001 or equivalent

Organizational Objectives

This course assists organizations to:

  • Reduce pilot-purgatory risk through scoping practices that anticipate fuzzy AI objectives
  • Lower governance risk through trained recognition of AI-specific legal and ethical issues
  • Build a working GenAI project-management vocabulary across PM/PgM functions
  • Establish a shared communication discipline for stakeholder updates on AI progress

Software

All attendees must have a modern web browser and an Internet connection.

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Course Details

Course Details

Introduction to Generative AI Project Management

By the end of this module, you will be able to identify the key differences between generative AI and traditional AI projects, walk the AI system development lifecycle, recognize common AI actors, and apply ROI quantification to GenAI work.

  • Key Differences Between Generative AI and Traditional AI Projects
  • The AI System Development Lifecycle
  • Common AI Actors
  • Challenges of AI Project Management
  • Quantifying ROI for Generative AI Projects
  • Hands-on Lab: Identify actors on a GenAI project and evaluate trade-offs through ROI calculations.

Project Planning and Scoping for Generative AI

By the end of this module, you will be able to scope GenAI projects with fuzzy objectives, plan for data as both dependency and deliverable, select an appropriate model, and structure the project for iterative development.

  • Understanding the Requirements of Generative AI Projects
  • Scoping for Exploration and Fuzzy Objectives
  • Data as a Project Dependency and Deliverable
  • Selecting a Model
  • Planning for Iterative Development
  • Hands-on Lab: Author data cards and a communication strategy for one GenAI project.

Building and Leading Effective Generative AI Teams

By the end of this module, you will be able to map the AI system lifecycle and common AI actors, recognize the challenges of AI project management, set the cadence of AI projects, quantify ROI, and establish communities of innovation.

  • The AI System Lifecycle & Common AI Actors
  • Challenges of AI Project Management
  • Understanding Research and Development in AI Projects
  • Setting a Cadence for AI Projects
  • Quantifying ROI for AI Projects
  • Establishing Communities of Innovation and Collaboration
  • Hands-on Lab: Discuss GenAI project-management case studies and estimate ROI through cost-effectiveness ratios.

Communicating Generative AI Project Progress and Outcomes

By the end of this module, you will be able to communicate technical AI concepts to non-technical audiences, report on AI performance metrics, address uncertainty and risk, manage stakeholder expectations during R&D, and use AI tools to accelerate communication.

  • Communicating Technical Concepts to Non-Technical Audiences
  • Reporting on AI Performance Metrics, Uncertainty, and Risk
  • Visualizing AI Progress and Outcomes
  • Managing Stakeholder Expectations during Research and Development
  • Preparing Comprehensive Project Reports
  • Utilizing AI Tools for Effective Communication
  • Hands-on Lab: Build a stakeholder communication plan and visualize AI progress and outcomes for a sample project.

Introduction to Risk Management & the NIST Risk Management Framework

By the end of this module, you will be able to define risk, risk management, and the NIST RMF; walk the Frame/Assess/Respond/Monitor cycle; apply the Prepare/Categorize/Select/Implement/Assess/Authorize/Monitor process; and recognize the legacy of the framework.

  • What is Risk, Risk Management, and a Risk Management Framework?
  • Frame, Assess, Respond, and Monitor
  • Prepare, Categorize, Select & Implement
  • Assess, Authorize, and Monitor
  • Legacy of the NIST RMF
  • Hands-on Lab: Walk through how the NIST RMF works on a Risky Business case study end-to-end.

Legal and Organizational Implications of Generative AI

By the end of this module, you will be able to apply data-privacy regulations to AI systems, reason about liability and accountability for AI-generated content, develop responsible-AI policies, and recognize the role of AI ethics boards in organizational governance.

  • Data Privacy Regulations (e.g., GDPR, CCPA)
  • Liability and Accountability for AI-Generated Content
  • Developing Responsible AI Policies and Guidelines
  • Building a Culture of Ethical AI Development
  • Case Studies of Legal Challenges in Generative AI
  • The Role of AI Ethics Boards and Committees
  • Hands-on Lab: Develop a Responsible AI policy for an organization, grounded in a real legal case study.

Schedule

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

Labs and the study materials provided for Architecting on AWS course are very easy to understand and explains all the topics required to pass the Associate certification.

Exit certified was great as it is very in depth and hands on learning which made it very easy to learn this type of work.

This course gave me a clearer understanding of the AWS cloud architecture.

Class was easy to sign up for and ExitCertified provided very good communication

As long as you keep Holly as an instructor, I will always come back to learn.