AI Training

Is your workforce ready for AI transformation?

Demystify AI, ML, and Generative AI for your workforce with hands-on training for organizations seeking to build AI literacy and accelerate AI transformation.

Accelerate AI/ML adoption

Recent 2024 research finds that 49% of all professionals say their organization has not provided any training on AI and half fear being “left behind” without opportunities to leverage AI in the workplace. The federal government has mandated training for the federal workforce – both AI practitioners and non-practitioners – in AI literacy.

To meet the challenge, Acceleras.AI offers a set of custom training courses in AI literacy to demystify AI, ML, and Generative AI for your workforce and accelerate your AI transformation. Led by instructors that have managed AI/ML projects and trained 4,000+ executives on five continents on technologies from DevOps to Cloud Native to AI/ML.

Key skills participants gain:

  • AI ecosystem and solutions knowledge – Understand how AI/ML models are built, managed, and used to solve business problems;
  • Computational AI skills with metrics and thresholds – Learn to work with AI/ML model metrics and interpret what they really mean;
  • Model bias awareness and diagnosis skills – Explore Responsible AI and dive into model bias, explainability, and compliance;
  • Evaluating AI use cases for business outcomes – Frameworks and approaches to evaluate AI models for solving business challenges; and
  • Experience with real AI tools – Hands-on experience with AI platforms such as Amazon SageMaker and Azure Machine Learning Studio.

Our Value Proposition:

  • Experienced practitioners:   Instructors with AI/ML project experience + AI training experience (4,000 execs trained; hundreds of classes delivered globally).
  • Scalable:  This is what we do and we can ramp and run as many classes as you need.   
  • Experiential Learning format:  We go beyond slideware with hands-on labs and real case studies for discussion.
  • Customizable:  We can work with you to develop organization specific content to meet your needs (conditions apply). 

Course 1: Managing AI/ML for Executives and Professionals

Course Description

Created for executives and professionals across the workforce seeking to lead or work more effectively with AI/ML initiatives, programs, and teams. You will:

  • Review AI/ML concepts, processes, measures, and issues.
  • Gain insights on AI/ML use cases, value, and ROI.
  • Identify bias in an ML model, review Responsible AI frameworks.
  • Explore MLOps and managing models from prototype to production.
  • Review common security threats and defenses for AI/ML solutions.
  • Investigate Gen AI use cases, architectures, and challenges.
  • Discuss governance, evaluation, and budgeting for AI/ML solutions.
  • Gain hands-on experience with Machine Learning using two clouds (Amazon Web Services, Microsoft Azure); no coding required.

Course Details

  • Duration: 1-day, 8 hours.
  • Format:  Instructor led, labs, case studies, discussion.
  • Location:  Customer site or virtual.
  • Regions:  Offered Worldwide (conditions apply).
  • Cost:  $750/person
  • Class size:  Minimum 10, Maximum 20
  • Prerequisites:  None.  No technical experience required.
  • Faculty: Our expert instructors have trained 4K+ executives in a Fortune 500 IT consulting firm, managed Cloud + AI/ML innovation teams, and accelerated adoption of new technologies.
  • Customization: Based on client needs (conditions apply).
  • References available upon request.

Course 2: Responsible AI Workshop

Course Description

Created to provide a workshop format of 4-5 hours to explore Responsible AI’s core frameworks and concepts for evaluating an AI solution. Useful for all professionals accountable for AI solution risk, compliance, and public or customer impacts. Topics include:

  • Overview of Responsible AI frameworks, concepts, and methods.
  • Real-time exploration of Supervised Learning and Explainability in practice.
  • Identify gender bias in a machine learning model’s outputs using key metrics.
  • Explore model probabilities and thresholds and how they can lead to errors.
  • Review case studies and contemporary issues in Responsible AI.
  • Use AI platforms on two clouds for simple hands-on learning.

Course Details

  • Duration: Half-day, 4-5 hours.
  • Format: Instructor led, labs, case studies, discussion.
  • Location: Customer site or virtual.
  • Regions: Offered Worldwide (conditions apply).
  • Cost: $545/person.
  • Class size: Minimum 10, Maximum 20.
  • Prerequisites: None. No technical experience required.
  • Faculty: Expert instructors with AI/ML training and solution experience.
  • Customization: Based on client needs (conditions apply).

Course 3: Reinforcement Learning Workshop

Course Description

Created to provide a workshop format of 3-4 hours to explore Reinforcement Learning (AI used in solutions like autonomous cars, games/complex systems, etc.) and how it works through discussion, simulation, and case studies. Useful for team building exercises to increase AI knowledge while having fun.

  • Overview of AI/ML concepts, processes, measures, and issues.
  • Explore how Reinforcement Learning models are built and trained.
  • Run a simulation in real-time to explore Reinforcement Learning in action.
  • Review case studies and contemporary issues with RL.
  • Finish with a return to simulation exercise.

Course Details

  • Duration: Half-day, 3-4 hours.
  • Format: Instructor led, labs, case studies, discussion.
  • Location: Customer site or virtual.
  • Regions: Offered Worldwide (conditions apply).
  • Cost: $395/person.
  • Class size: Minimum 10, Maximum 20.
  • Prerequisites: None. No technical experience required.
  • Faculty: Expert instructors with AI/ML training and solution experience.
  • Customization: Based on client needs (conditions apply).

Course 4: Supervised Learning Workshop

Course Description

Created to provide a workshop format to explore and explain Supervised Learning, a Machine Learning model created with historical, labelled data used to make real-world predictions. Most organizations will use Supervised Learning as part of their AI/ML portfolio. We offer an engaging 3-4 hour workshop for your team to explore Supervised Learning in practice.

  • Review AI/ML definitions, metrics, and concepts to understand how Supervised Learning fits into the portfolio of AI/ML solutions.
  • Get hands-on with a cloud-based lab to explore creating a machine learning model in real-life and generating predictions.
  • Explore the basics of Responsible AI by diagnosing bias in model outputs.

Course Details

  • Duration: Half-day, 3-4 hours.
  • Format: Instructor led, labs, case studies, discussion.
  • Location: Customer site or virtual.
  • Regions: Offered Worldwide (conditions apply).
  • Cost: $395/person.
  • Class size: Minimum 10, Maximum 20.
  • Prerequisites: None. No technical experience required.
  • Faculty: Expert instructors with AI/ML training and solution experience.
  • Customization: Based on client needs (conditions apply).

For more information:

Contact:
[email protected]