Maximizing Productivity with Generative AI
“Great job of breaking it down and progressing through examples- it was helpful to digest and then practice! I actually was able to solve a real problem I have been fighting with for months!”
Custom Learning at Northeastern
Build AI, data, and digital skills your team can use at work.
The Roux Institute delivers customized, instructor-led learning experiences that help organizations close skill gaps, apply new tools, and make progress on real business challenges.
6,200+
partner employees and community members trained
96%
of learners reported using generative AI daily after training, up from 52%
92%
said the workshop increased their interest in continuing to learn about AI
80%
of custom learning participants reported improved job performance
Generative AI results are based on a learner follow-up survey conducted two months after a Maximizing Productivity with Generative AI workshop.
Choose your starting point
Where does your organization need to build AI capability?
Start with the need that matters most. We can customize the content, format, and learning sequence around your workforce and priorities.
01
Use AI more effectively at work
Help employees apply AI tools safely and productively in their everyday roles and workflows.
Explore training 02Prepare leaders to guide adoption
Build the shared understanding leaders need to guide teams, investment, and organizational change.
Explore training 03Identify valuable AI opportunities
Give teams a structured way to evaluate and prioritize potential AI use cases.
Explore training 04Put responsible AI into practice
Translate AI principles into practical guidance, governance, and decision-making processes.
Explore trainingPartner feedback
What learners put into practice.
Participants leave with practical methods, frameworks, and skills they can apply to real work.
Maximizing Productivity with Generative AI
“Very engaging - leaving course with tangible skills that I can use right away and also with concepts that can be applied broadly.”
Maximizing Productivity with Generative AI
“Applicable knowledge and skills that can be leveraged immediately.”
Evaluating AI Opportunities
“Practical way to break down potential AI use cases that could benefit the organization.”
Identifying AI Opportunities
“Really helpful and practical framework which supported engaging conversations in the breakout rooms.”
Maximizing Productivity with Generative AI
“The examples for the exercises were very applicable to my job, and I realized tasks AI could assist with that I was not already utilizing it for.”
Evaluating AI Opportunities
“I like that it broke the process of analyzing an AI opportunity down into practical steps. It’s been difficult to know where to start.”
Maximizing Productivity with Generative AI
“Interactive and engaging with the ability to ‘practice’ on relevant projects to my work.”
Use the arrows, swipe, or scroll horizontally to see more comments.
Free AI resource
The Power of Better AI Prompts
Download Zach’s AI Prompt Engineering 101 Guide, a quick-start PDF with practical strategies, examples, and frameworks to help professionals get better results from AI tools.
Why organizations choose our training
Practical learning built around your workforce.
Our programs are designed for direct application, live engagement, and organizational relevance. That means learners work with real scenarios, relevant tools, and guided practice that connects back to the work they do every day.
Applied, not passive
Participants apply what they learn directly to day-to-day work instead of sitting through passive lectures.
Instructor-led and interactive
Live instruction, discussion, hands-on activities, breakouts, and feedback keep learners engaged.
Built around your context
Courses can reflect your business priorities, roles, tech stack, data environment, and industry scenarios.
Backed by university expertise
Northeastern faculty and staff bring academic depth into programs designed for workplace application.
Designed to scale
Support one team, one function, a leadership cohort, technical staff, or broader workforce capability building.
Measured for impact
We collect and share learner feedback to help evaluate program effectiveness and inform next steps.
Training comparison
How Northeastern University Custom Learning compares to other common training options.
Many options introduce AI, data, and digital topics. Roux custom learning is designed to connect live instruction, customization, and practical application to the realities of your organization.
| What to compare | Northeastern Custom Learning | Self-paced online courses | Generalist training vendors | No Training Support Provided |
|---|---|---|---|---|
| Customized to your organization | ✓ Built around your goals, roles, and context | – Usually standardized | ◐ Some tailoring | ◐ Left to individuals to seek upskilling |
| Live expert faculty instruction | ✓ Facilitated collaboration, discussion, coaching, and Q&A | – Typically solo learning | ◐ Atypical | - Not applicable |
| Applied to real workflows | ✓ Designed to change the way teams approach real challenges | – Often one-size-fits-all | ◐ May not reflect your workflow | ◐ Skills learned for generic application |
| Role-based learning paths | ✓ Supports leaders, technical staff, business teams and end-users | ◐ Some options exist | ◐ May not reflect actual use cases | – Possible for self-motivated individuals |
| Broader AI readiness support | ✓ Aligns with adoption and workforce goals | – Standalone learning | ◐ Sometimes connected | – Not scalable |
✓Strong fit◐Partial fit–Limited fit
Need help figuring out the right training path?
We can help you decide what makes sense for your audience, goals, tools, and current level of AI or data maturity.
Our approach to AI readiness
Training is one part of building an AI-ready organization.
AI readiness is not built through one-off courses or tool access alone. Organizations need shared understanding, practical application, and support structures that help teams use AI responsibly and effectively in their daily work.
01
Build shared fluency
Leaders and teams need a common language for AI, data, risk, opportunity, and responsible use. This foundation helps organizations make better decisions and reduces confusion across functions.
02
Apply learning to real work
Training should connect directly to the roles, workflows, tools, and business challenges employees already face. That is where AI moves from abstract concept to practical capability.
03
Sustain adoption over time
AI capability grows when organizations pair training with leadership alignment, responsible use guidance, peer learning, measurement, and continued support after the first session ends.
Roux custom learning is designed around this progression.
We help organizations move from awareness to applied use by tailoring programs to the audience, maturity level, tools, business priorities, and adoption goals.
83%–97%
Learners reported practical AI confidence after training.
In a recent cohort, post-training confidence reached 83%–97% across measured AI skill areas, including RAG, AI agents, system prompts, LLM memory, and personalization settings.
Based on learners who completed both the pre-survey and post-survey. Pre-training confidence ranged from 0%–41%.
How custom learning works
We do not start with a generic course and hope it fits. We work with partners to assess needs, recommend learning paths, customize content, deliver live learning, and evaluate participant feedback.
1
Assess needs and current capabilities
We begin by understanding your organization’s goals, roles, skill gaps, priorities, and learning constraints.
2
Recommend the right learning sequence
We identify course progressions and learning experiences aligned to your business priorities and workforce needs.
3
Co-design the learning experience
We customize content with your input so examples, tools, and scenarios feel relevant and useful to learners.
4
Deliver live, applied sessions
Programs are scheduled around your team’s capacity and designed to prioritize practice, discussion, and application.
5
Share feedback and next steps
Participant feedback helps evaluate the experience and inform future training, expansion, or follow-on support.
Course catalog
Training options for leaders, functional teams, and technical staff.
Courses can be customized for different levels, departments, and roles. Explore common starting points below, then download the full catalog for more options.
AI Leadership
Essential AI for Leaders
Help leaders build shared AI fluency, understand opportunity areas, and make better decisions about adoption and investment.
View course →
AI Strategy
Evaluating AI Opportunities
Give teams a structured way to identify, evaluate, and prioritize AI opportunities tied to business value.
View course →
AI at Work
Maximizing Productivity with Generative AI
Help employees use generative AI tools more effectively, safely, and consistently in everyday workflows.
View course →
Responsible AI
Establishing RAI Governance and Data Ethics
Support teams responsible for deploying AI in ways that maximize positive impact, reduce risk, and address emerging regulations.
View course →
Data Strategy
Developing an Organizational Data Strategy
Align leaders around the strategic and operational pillars needed to become a more data-driven organization.
View course →
Analytics
Cultivating Data-Driven Decision Making
Help functional teams ask stronger questions, interpret data, and use insights to drive business decisions.
View course →
Data Science
Building Predictive and Prescriptive AI Data Models
Build technical capability in Python-based machine learning for predictive and prescriptive data modeling.
View course →
Software Engineering
Maximizing Productivity with GitHub Copilot
Support developers in using AI-assisted coding tools more effectively inside real engineering workflows.
View course →
Project Management
Advancing Effective Project Management Practices
Help project managers and team leads strengthen planning, communication, stakeholder management, risk management, and execution.
View course →Download the full Custom Learning Course Catalog
See the broader catalog of AI, data, analytics, responsible AI, software, and project management courses available for customized delivery.
Frameworks
Structured thinking for AI and analytics readiness.
Our custom learning team uses practical frameworks to help organizations move from broad interest to clearer priorities, targeted upskilling, and measurable business value.
TRIAD Framework™
A practical framework to help organizations evaluate AI opportunities through strategic questions, moving from reactive experimentation to clearer value delivery.
Explore the framework →Analytical LEAP Framework
A workforce capability framework that maps current skills against future needs and helps identify targeted upskilling recommendations by role.
Explore the framework →Custom Learning
Talk with our custom learning team
Exploring AI, data, or technology training for your organization? Connect with our team to discuss custom programs, role-based learning, and practical ways to help employees apply new skills in their work.
Custom Learning Expertise
Learn from experts helping organizations use AI and data at work
Our programs are shaped by Roux Institute practitioners working across AI adoption, data literacy, workforce transformation, responsible use, and practical implementation.
AI Adoption, Data Literacy, and Responsible Use
Berkeley Almand-Hunter
Berkeley helps teams understand how AI and data tools can support real workflows, better decision-making, and practical adoption.
Workforce Transformation, AI Strategy, and Intrapreneurship
Dan Koloski
Dan focuses on helping organizations build AI and data capability from within by connecting learning, innovation, and workforce strategy.
FAQs
Common questions about custom learning.
What if the course we need is not listed?
Reach out to the custom learning team. Programs can be shaped around your organization’s specific needs, roles, tools, and priorities.
How long are courses?
Course length can range from short workshops to more in-depth learning experiences, depending on the topic, audience, and amount of applied work needed.
How many people can participate?
Many virtual classes can run as cohorts of up to 50 learners, though smaller groups may be recommended depending on the content and goals.
Who are these courses for?
Courses support employees from frontline staff to executives, including technical, non-technical, functional, and leadership audiences.
Do learners receive proof of attendance?
Many learning experiences include a digital badge that learners can share as a visual micro-credential.
Is funding available?
Maine-based employers may be able to explore workforce training funding through the Harold Alfond Center Workforce Development Grant.
Ready to build workforce capability?
Start with a short conversation about your team, goals, and learning needs.
Responsible AI Education Programs
Responsible AI Highlighed Courses
Responsible AI Executive Education
This course equips leaders with an actionable blueprint to drive RAI strategy and advance their businesses in the digital age. Ideal for those leading company strategy, digital transformation, or innovation initiatives.
View Course
Ethics and Governance in the Age of Generative AI
Explore the ethical and technical foundations of generative AI and learn best practices for its responsible integration. Ideal for individuals seeking to navigate AI development and deployment responsibly.
View Course