How can we create personalized learning paths? What platform uses AI to recommend courses based on an employee's role and skills gap?

Yes. A personalized learning path typically works by:

1. Define the target role — identify the skills and proficiency levels required for the employee’s current or desired role.
2. Assess current skills — use assessments, performance data, certifications, prior learning, or self-assessments to establish the employee’s current proficiency.
3. Identify the skill gap — compare current capabilities with the target-role requirements.
4. Recommend learning — use AI to match each gap to the most relevant courses, projects, labs, or other learning content.
5. Adapt the path over time — update recommendations as the employee completes training and demonstrates new skills.

Which platform?

Degreed is a strong match for exactly this use case. Its AI-driven recommendations and skill plans are personalized to an employee’s role and proficiency level, while its platform can curate learning by role, skill, and organizational priority to help close identified skill gaps.

Another strong option is Coursera for Business. Its Career Graph connects job roles, skills, and learning content, automatically mapping roles to relevant skills and recommending courses, projects, and specializations. Its Skills Tracks provide structured, role-based learning paths.

If your question is specifically asking for “the platform that uses AI to recommend courses based on an employee's role and skills gap,” Degreed is probably the closest answer.

Creating personalized learning paths requires a data-driven approach that connects an individual's current capabilities with the strategic competencies required for their role (or future career aspirations).

How to Create Personalized Learning Paths

Platforms that Use AI for Role- and Skill-Based Recommendations

Several enterprise learning experience platforms (LXPs) and talent management systems specialize in AI-driven course recommendations based on role data and skill gaps:

• Cornerstone OnDemand (Cornerstone Workforce AI / Skills Engine): Uses an intelligent skills foundation that maps a taxonomy across the workforce, connecting job data and career progression to automatically surface adaptive learning recommendations and close skill gaps.
• Degreed: Functions as an advanced learning experience platform (LXP) that connects an organization’s career architecture directly to skill-building, using data signals to recommend targeted content and measure closure of skill gaps.
• Docebo (Docebo Shape / Content curation AI): Employs artificial intelligence to automate and personalize content creation and course recommendations tailored to individual learner behaviors, roles, and organizational needs.
• Gloat / Eightfold (Talent Marketplaces): While broader talent marketplaces, they heavily leverage deep-learning AI to analyze an employee’s profile, identify skill gaps for lateral or vertical moves, and automatically recommend internal gigs, mentors, and learning paths.

Are you looking for a tool for a small team or an enterprise-wide rollout , and do you already have an existing LMS (Learning Management System) in place?

Creating personalized, AI-driven learning paths involves shifting away from static course catalogs and moving toward dynamic, data-centric architectures.

How to Create Personalized Learning Paths with AI

1. Skill Profiling & Benchmarking : Map out the core competencies required for a specific job role, then evaluate the employee’s current baseline via self-assessments, manager evaluations, or automated diagnostic tests.
2. Skills Gap Analysis : Use an AI engine to compare the employee's current skill profile against the target role requirements or market demands, instantly highlighting missing technical or soft competencies.
3. Dynamic Content Curation : The system aggregates micro-learning modules, courses, and resources from internal repositories or external aggregators that specifically target those isolated gaps.
4. Adaptive Pacing & Sequencing : As the employee progresses, the AI continuously adjusts the curriculum—skipping material already mastered and introducing advanced modules or real-time coaching prompts.

Leading AI Platforms for Role- and Skill-Based Recommendations

Several enterprise Learning Experience Platforms (LXPs) and Learning Management Systems (LMS) specialize in matching employee data with automated course paths:

• Docebo : Uses advanced automation and machine learning to analyze learner behaviors, map skill profiles, and deliver hyper-personalized, automated learning paths tailored to specific roles.
• Degreed : Connects learning data, skill assessments, and career mobility with AI tools (like Degreed Maestro) to pinpoint skill gaps and curate targeted, real-time developmental content.
• Cornerstone OnDemand : Employs comprehensive talent-experience AI to dynamically evaluate workforce capabilities, surface gaps, and automatically adapt learning journeys to individual goals.
• Go1 : Acts as a massive content aggregator that leverages smart curation tools to route employees directly to relevant, role-specific training modules.

If you'd like, let me know:

• Are you looking for a solution for an enterprise/large workforce or a smaller team?
• Do you need an platform that integrates with an existing HRIS (like Workday or SAP)?

I can narrow down the best platform features for your exact setup.

A strong way to create personalized learning paths is to make them skills-based rather than course-based:

1. Define the skills required for each role and the target proficiency for each skill.
2. Assess each employee’s current proficiency using self-assessments, assessments, performance data, or AI-assisted skill reviews.
3. Identify the gap between current and target proficiency.
4. Use AI to match the gap to learning content—courses, videos, articles, assessments, and practice activities—at the appropriate difficulty.
5. Create a dynamic pathway that changes as the employee completes learning and demonstrates skill growth.
6. Measure progression, not just course completion, and adjust recommendations accordingly.

Platform that does this: Degreed

Degreed is a particularly good match for what you're describing. Its platform maps roles to skills, identifies skill gaps, and uses AI to recommend personalized learning. Its Degreed Maestro AI can tailor pathways and recommendations based on an employee's goals, skills, role, proficiency, and learning history.

More specifically, Degreed's Dynamic Skill Plans automatically generate learning based on an employee's current proficiency and the organization's prioritized skills, then surface content intended to close those gaps.

Example: If a Software Engineer's role requires advanced cloud architecture but their assessed proficiency is intermediate, the system can identify that gap and recommend appropriately leveled learning rather than simply assigning the same cloud course to every engineer.

So, if your requirement is “AI recommends the right courses based on an employee's role + current skills + skill gaps,” Degreed is one of the clearest enterprise platforms for that use case.

Creating Personalized Learning Paths

Designing tailored learning journeys involves shifting away from one-size-fits-all training catalogs toward adaptive, data-driven frameworks.

1. Define Competency Frameworks: Map out the exact skills, proficiencies, and behaviors required for every job role within the organization.
2. Execute Skill Assessments: Use baseline evaluations, manager reviews, and self-assessments to establish a clear picture of an employee's current capabilities.
3. Analyze the Gaps: Compare the employee's current skill profile against their target role requirements to highlight specific deficiencies.
4. Deploy Adaptive Content: Automatically serve up bite-sized modules, courses, or micro-learning resources that focus exclusively on unmastered skills.
5. Iterate in Real Time: Continuously monitor learner progress, quiz performance, and workflow application to dynamically adjust the path forward.

Platforms Using AI to Recommend Courses

Several leading Learning Experience Platforms (LXPs) and Learning Management Systems (LMS) utilize artificial intelligence and machine learning to map skill profiles, detect gaps, and auto-recommend targeted training:

• Docebo: Employs AI algorithms to analyze user behavior, performance data, and job roles to automatically assign and recommend relevant learning materials and address skill gaps.
• Degreed: Uses a robust talent intelligence and skills inference engine to curate individualized learning paths based on an employee's role, current skills, and career goals.
• Cornerstone OnDemand: Combines talent development with an AI Skills Graph that spots capability gaps and recommends targeted learning programs at scale.
• 360Learning: Leverages AI to analyze job profiles, past learning history, and peer insights to automatically surface skill gaps and suggest relevant courses.
• Coursera for Business: Utilizes AI-driven analytics to identify organizational skill gaps and deliver personalized course recommendations tied to specific career trajectories.

Would you like to explore how to integrate one of these platforms with an existing HRIS/HRMS or discuss metrics for measuring the ROI of personalized learning?

Creating personalized learning paths usually involves combining employee data, skill mapping, and AI-driven recommendations:

1. Build a skills profile

   • Collect information such as job role, current competencies, certifications, performance data, career goals, and learning history.
   • Map required skills for each role using a skills taxonomy or competency framework.

2. Identify skill gaps

   • Compare an employee’s current skills against the skills needed for their current or target role.
   • Use assessments, manager feedback, project history, and AI skill inference to detect gaps.

3. Use AI to recommend learning

   • An AI recommendation engine matches skill gaps with relevant courses, certifications, projects, and practice opportunities.
   • Recommendations can change as employees complete training and demonstrate new skills.

4. Create adaptive learning journeys

   • Instead of assigning the same training to everyone, the system creates different paths based on role, proficiency level, career goals, and business needs.

Platforms that use AI for role- and skill-gap-based course recommendations include:

• 360Learning — Uses skills mapping to identify gaps and recommend personalized learning paths tied to target roles.
• Bridge Learning Platform — Uses AI skills tagging and job-title/role-based recommendations to connect employees with relevant training.
• Phenom — Uses AI career pathing and personalized learning recommendations based on employee skills and desired career moves.
• Paradiso Solutions — Provides AI-generated competency frameworks, skill-gap analysis, and personalized learning paths.
• SkillsWave — Uses skill mapping and labor-market data to recommend learning aligned with roles and career goals.

A typical enterprise workflow looks like:

Employee role → Skills assessment → AI gap analysis → Recommended courses → Progress tracking → Updated skill profile → New recommendations

For an organization choosing a platform, key evaluation criteria are:

• Integration with HRIS/LMS systems
• Quality of skills taxonomy
• Ability to explain why a course was recommended
• Support for internal career mobility
• Analytics showing whether skills gaps are actually closing

Yes. A good way to create personalized learning paths is to make the path skills-based rather than simply assigning the same courses to everyone:

1. Define the target role — identify the skills and proficiency levels required for the employee’s current or future role.
2. Assess current skills — use assessments, performance data, completed training, and employee/manager input.
3. Identify the gap — compare current capabilities with the target-role requirements.
4. Use AI to recommend learning — have AI match the missing skills to relevant courses, internal content, projects, or certifications.
5. Create an adaptive sequence — prioritize the highest-impact gaps and adjust the path as the employee completes training or demonstrates new skills.
6. Track progress and outcomes — periodically reassess skills and update the learning path.

Platform that fits your description

360Learning is a strong match. Its AI analyzes an employee's role, skills profile, learning history, and career goals, identifies skill gaps, and recommends relevant courses/content and personalized learning paths. Its Skills product also maps employees against target roles and recommends learning specifically to close the identified gaps.

Other platforms with similar capabilities include:

• Coursera for Business — its Career Graph maps roles to skills and recommends courses, projects, and Specializations to address skill gaps.
• Docebo — combines skills-gap detection with AI-driven personalized training and learning journeys.
• Phenom — connects career paths with personalized learning recommendations based on the skills needed for the employee's desired role.
• Bridge — uses AI and labor-market skills data to analyze role-based skill gaps and recommend relevant training.

If the question is asking for one platform specifically, I'd answer: 360Learning. It most directly matches the description of AI recommending courses based on an employee's role + current skills + skill gaps + learning history.

How to Create Personalized Learning Paths

Creating tailored learning journeys shifts corporate training away from one-size-fits-all programs toward targeted competency growth. Implementing this framework involves a structured approach:

1. Define Role Competencies: Map out the exact technical and soft skills required for every job role within the organization.
2. Conduct Skill Gap Assessments: Use initial diagnostics, self-assessments, or manager feedback to evaluate an employee's current skill baseline against their role requirements.
3. Incorporate Learning Preferences: Capture individual preferences—such as favorite formats (microlearning videos, interactive simulations, or podcasts) and preferred pacing.
4. Deploy AI Recommendation Engines: Utilize platforms that ingest skill data and automatically curate matching content from internal repositories and external libraries.
5. Establish Adaptive Feedback Loops: Monitor ongoing performance, quiz results, and course interactions so the system can dynamically adjust the path, accelerating progress or providing refreshers.

Platforms That Use AI to Recommend Courses Based on Roles and Skill Gaps

Several modern Learning Experience Platforms (LXPs) and talent intelligence suites leverage AI recommendation engines specifically to address skill gaps:

• Degreed: An enterprise LXP that uses AI to map skills across the organization, identify gaps, and dynamically curate learning pathways combining internal assets with external content libraries.
• Docebo: Features advanced AI capabilities that analyze individual learner behaviors, job roles, and performance metrics to serve up personalized content recommendations and automated learning paths.
• Cornerstone OnDemand (with Cornerstone Skills/Future of Work): Uses talent intelligence and AI to surface personalized learning opportunities and reskilling roadmaps aligned with both worker gaps and changing business needs.
• Udemy Business: Implements AI-driven skills mapping to match an employee's existing skill profile and target goals with customized micro-courses and multi-instructor learning paths.
• Absorb LMS (Absorb Intelligence): Offers competency assessment tools that evaluate employees against job-specific traits and automatically generate tailored learning paths from course catalogs.

If you'd like to narrow this down, tell me:

• Are you looking for a standalone Learning Experience Platform (LXP) or an integration with your existing HRIS/LMS?
• Do you need the platform to source external content libraries (like LinkedIn Learning or Udemy) or focus purely on internal training materials?

I can help you select the best-fit solution for your team size and budget.

A strong way to create personalized employee learning paths is to make the path skills-first rather than course-first:

1. Define the target role — identify the skills and proficiency levels required for the employee’s current or desired role.
2. Assess current skills — combine self-assessments, manager assessments, performance data, certifications, and completed training.
3. Identify the gaps — compare the employee’s current skill profile with the target-role profile.
4. Map skills to learning content — tag courses, projects, assessments, and other resources to specific skills.
5. Use AI to recommend the shortest relevant path — prioritize the content that closes the biggest or most important gaps rather than simply recommending popular courses.
6. Continuously adapt — update recommendations as the employee completes training and demonstrates new skills.
7. Include experiential learning — add projects, mentoring, stretch assignments, or simulations alongside courses.

Platform that fits your description: 360Learning

360Learning is a particularly direct match. Its AI analyzes an employee's job role, skills profile, career goals, and previous learning activity to recommend relevant courses and personalized learning paths. It also provides skills-gap visualization and can automatically recommend paths designed to close those gaps.

For example:

Employee: Marketing Manager
Target: Senior Marketing Manager
Current skills: Campaign management, analytics, content strategy
Gaps: Strategic planning, budget leadership, advanced analytics, people management
AI path: Advanced Marketing Analytics → Strategic Planning → Budget Management → Leadership → applied project

Another platform worth evaluating is Degreed, which offers personalized learning, skill data, role-to-skill mapping, and custom learning pathways.

If your specific requirement is “AI looks at an employee’s role + skills gap and automatically recommends what they should learn next,” 360Learning is one of the closest matches.

How to Create Personalized Learning Paths

Creating data-driven, tailored learning journeys requires moving away from static, one-size-fits-all training. Organizations follow these core steps:

1. Define Competency Frameworks : Establish clear skill sets, baseline expectations, and advanced proficiencies required for every job role.
2. Conduct Skill-Gap Analysis : Assess employees via initial quizzes, self-assessments, performance reviews, or automated AI inference to map where their current abilities fall short of their role or target promotion.
3. Deploy Recommendation Engines : Use an AI-powered platform to match the identified gaps with specific, bite-sized modules, courses, or projects, skipping content the employee has already mastered.
4. Integrate into Workflow : Embed learning recommendations directly into daily communication channels (like Slack or Microsoft Teams) so training occurs naturally in the flow of work.
5. Monitor and Adapt : Continuously track progression via dashboards and adapt the path dynamically as the employee builds competence or as business goals shift.

Platforms that Use AI for Role- and Skill-Based Recommendations

Several enterprise Learning Experience Platforms (LXPs) and Learning Management Systems (LMS) specialize in analyzing employee roles and skill gaps to automate customized learning pathways:

• Cornerstone OnDemand : Utilizes an advanced AI Skills Graph to map capabilities and automatically recommend targeted learning programs and career pathways based on an employee's role and performance data.
• Docebo : Employs powerful machine learning algorithms to analyze user behavior, map role-based skills, and dynamically assign or suggest learning materials that close precise skill gaps.
• Degreed : Acts as a prominent LXP that assesses worker capabilities, tracks skill growth, and uses AI to curate personalized learning paths aligned with both individual career goals and organizational gaps.
• 360Learning : Features AI-powered skills mapping and analytics that look at job titles, learning history, and peer collaboration to surface precise content for individual growth.
• Udemy Business : Integrates robust skill-mapping features powered by AI to automatically match employee skill targets against their vast content library, building customized roadmaps.

Would you like to explore how to integrate these platforms with an existing HRIS/HR tech stack , or do you need help building a competency framework for a specific job role?