When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
AI Project Management
This AI Project Management training course teaches professionals how to expertly manage the unique challenges and opportunities of AI projects. Participants gain a deep understanding of the AI...
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$2,000 USD
Duration
2 days
Course Code
WA3571
Available Formats
Classroom
Overview
This AI Project Management training course teaches professionals how to expertly manage the unique challenges and opportunities of AI projects. Participants gain a deep understanding of the AI project lifecycle and learn to define clear roles and responsibilities, effectively mitigate AI-specific risks, engage stakeholders throughout the project, and implement strategies for continuous improvement. By the end of this course, attendees are prepared to successfully lead AI projects.
Skills Gained
- Master the AI project lifecycle, from conception to deployment, enabling successful project planning, execution, and oversight
- Develop robust risk management strategies and stakeholder engagement plans to address challenges and ensure project success
- Optimize resource allocation, manage technical and human resources effectively, and foster seamless collaboration across project roles
- Implement effective change management practices, including communication strategies, to overcome resistance and cultivate a culture of continuous learning
Prerequisites
This course is designed for project managers specializing in AI projects, data scientists and AI engineers transitioning into project management roles, and business leaders overseeing AI initiatives. Attendees must have:
- Experience with technology project management and delivery
- Experience in project management or leadership roles
- Familiarity with AI and machine learning pipelines is recommended but not required
Course Details
Outline
The AI Project Lifecycle
- Understand AI project phases
- Identify AI business opportunities
- Ideation: Identifying business problems
- Data Collection & Preparation: Data requirements and quality
- Model Selection & Training: Choosing and training AI models
- Evaluation & Refinement: Model performance and bias detection
- Deployment & Maintenance: Integrating AI models into production
Project Scoping and Management
- Develop comprehensive AI project plans
- Align AI projects with business objectives
- Defining Project Goals: Setting SMART goals
- Identifying Resources: Estimating technical and human resources
- Developing a Project Plan: Timelines and management
- Project Management Tools & Techniques: Agile, Waterfall methodologies
AI Project Roles and Responsibilities
- Define roles within an AI project team
- Understand the responsibilities of each role
- Executive Sponsor: Project champion and leader role
- Project Manager: Team leadership and resource management
- Data Scientist: Data preparation and model development
- AI Engineer: Model deployment and scalability
- Domain Expert: Business context and solution evaluation
Risk Management in AI Projects
- Identify potential risks in AI projects
- Develop risk mitigation strategies
- Risk Identification: Common AI project risks
- Mitigation Strategies: Techniques to address risks
- Contingency Planning: Preparing for unforeseen issues
Stakeholder Engagement and Change Management
- Engage and manage project stakeholders
- Develop effective communication strategies
- Identifying Stakeholders: Mapping stakeholders and their interests
- Communication Strategy: Plans for stakeholder engagement
- Managing Expectations: Techniques for effective communication
- Change Management: Addressing resistance and fostering learning
AI Solution Delivery and Continuous Improvement
- Deploy AI models effectively
- Establish robust monitoring and governance frameworks
- Model Deployment Strategies: On-premise, cloud, hybrid
- Monitoring and Logging: Tracking performance and security
- Governance and Explainability: Responsible AI practices
- Continuous Improvement: Feedback loops for refinement
Conclusion
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.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
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
The format of the class was concise. I learned new skills to use at my workplace.
Very good material, the instructor was clear explaining the topics, and the labs were easy to follow it.
ExitCertified gave me some good trainings and I got to learn through doing labs.
Although there seemed to be too many links for the course, everything worked smoothly.
Class was very informative, although one lab didnt but will try again later
