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 strong way to create personalized learning paths is to combine an employee’s:

• Current role and level
• Existing skills/proficiency
• Skills required for their current or target role
• Skill gaps
• Career goals
• Learning history and preferences
• Business-priority skills

Then use AI to map those gaps to relevant courses, projects, assessments, and practice, and continuously adjust the path as the employee progresses.

Platforms that do this

LinkedIn Learning Career Hub is a particularly direct match for your description. Its AI-powered Learning Plans personalize development based on an employee's goals, title, and skills, while its Talent Architecture connects organizational roles to required skills and career paths.

Degreed is another strong option. It uses skill intelligence to identify workforce strengths and weaknesses and provides AI-driven recommendations, skill plans, and pathways personalized to an employee's role, skills, and proficiency level.

Cornerstone OnDemand LXP also offers AI-driven personalized learning paths and training aligned with employee and organizational goals, including identifying skill gaps.

If your question is specifically “which platform uses AI to recommend courses based on an employee's role and skills gap?”, I'd point to LinkedIn Learning Career Hub or Degreed as the clearest examples. LinkedIn is especially explicit about using role data, skills, and AI to generate personalized learning plans.

A simple implementation model is:

Role → Required skills → Current skills → Gap analysis → AI-recommended courses → Personalized learning path → Assessment → Updated skill profile

For example, an employee moving from Financial Analyst → Senior Data Analyst could be assessed as having gaps in SQL, Python, data visualization, and advanced statistics. The platform would then assemble a sequence of courses and practice activities specifically around those gaps rather than assigning the same generic curriculum to everyone.

How to Create Personalized Learning Paths

Creating scalable, personalized learning paths requires bridging the gap between what an employee's role demands and their current capabilities.

1. Define a Skills Taxonomy : Map out the core technical and soft skills required for every job role, both for current demands and future growth.
2. Assess Current Competencies : Use baseline diagnostics, self-assessments, or AI-driven proficiency checks to map what each employee already knows.
3. Identify the Skills Gap : Compare the employee’s existing skill profile against the benchmarks of their current role or an aspirational career path to pinpoint exact gaps.
4. Deploy AI Curation and Recommendation : Feed the gap data into an intelligent system that automatically indexes and matches relevant internal or external learning materials to the individual.
5. Incorporate Continuous Feedback : Adapt the learning journeys dynamically based on ongoing quiz performance, project milestones, and changing business objectives.

Platforms That Use AI to Recommend Courses Based on Role and Skills Gaps

Several modern Learning Experience Platforms (LXPs) and talent development systems specialize in AI-driven path personalization:

• Degreed : Uses a sophisticated skills engine to map workforce capabilities, automatically identify individual skill gaps, and curate hyper-personalized learning pathways and content from multiple integrated sources.
• Pluralsight : Features AI engines (like Iris) alongside data-driven diagnostics (Skill IQ and Role IQ) to measure a user's technical proficiency and instantly recommend role-based learning paths to bridge specific gaps.
• 360Learning : Combines collaborative learning with AI-powered analytics to pinpoint team skill gaps, adapting variable or linear learning paths to target missing competencies.
• HowNow : Employs an AI pathway builder and dynamic skills graph to turn role context and performance metrics into automated, customized learning journeys.

If you're looking to implement one of these for your team, tell me:

• What type of skills (technical/IT, compliance, soft skills) you need to train
• Roughly how many employees will use the platform

I can help you narrow down which tool fits your budget and tech stack.

Creating personalized learning paths involves mapping individual or organizational needs against an existing curriculum or external catalogs.

How to Create Personalized Learning Paths

1. Define Role Profiles and Competencies: Outline the exact technical and soft skills required for every specific job role within the organization.
2. Conduct Skill Assessments: Evaluate an employee’s current proficiency through self-assessments, manager reviews, or practical AI-driven skill tests.
3. Perform a Gaps Analysis: Compare current skill inventory data against the requirements of the employee's current role or an aspirational future role.
4. Map Content via AI Optimization: Feed the skill gaps, role data, and learning preferences into an intelligent recommendation engine that dynamically curates a tailored sequence of courses, micro-learning modules, or projects.
5. Iterate and Adjust Continuously: Update the path dynamically as the employee completes milestones, masters prerequisites, or as business priorities shift.

Platforms Using AI to Recommend Courses Based on Role & Skills Gap

Several major Learning Experience Platforms (LXPs) and Human Capital Management (HCM) suites utilize advanced AI engines to automate this process:

• Degreed: An industry-leading upskilling platform that analyzes an employee's current role, tracked skills, and career goals to automatically recommend customized learning paths and content pulled from thousands of external and internal providers.
• Cornerstone OnDemand: Features robust AI-driven intelligence (such as its skills and talent mobility frameworks) that assesses workforce gaps in real time, automates personalized role-based paths, and aligns development directly with internal career mobility.
• Disprz: An enterprise-focused, AI-powered skilling platform that excels at skill intelligence, mapping out precise role-based learning journeys to bridge immediate performance or competency gaps.
• Docebo: Utilizes powerful artificial intelligence (Docebo Shape and Virtual Coach) to analyze user data, job roles, and content interactions to auto-tag materials and suggest personalized content paths to individual learners.

Would you like to explore how to audit your company's current skill gaps first, or are you looking to compare specific pricing and features for one of these platforms?

Yes. A strong approach is to build each employee’s learning path around skills rather than a generic course catalog:

1. Define the target role — map each role to required skills and proficiency levels.
2. Assess the employee — use assessments, performance data, experience, and existing skills.
3. Identify the gap — compare current proficiency with what the target role requires.
4. Recommend learning — have AI select courses, practice, projects, or mentoring that address the highest-priority gaps.
5. Adapt continuously — update the path as the employee completes learning, demonstrates new skills, changes roles, or sets new career goals.
6. Measure outcomes — track skill growth and readiness, not just course completion.

Platforms that do this

A particularly close match to your description is 360Learning. Its skills platform compares an employee's current skills with the requirements of a target role, identifies gaps, and uses AI to recommend relevant learning paths and content.

Other strong matches include:

• Paradiso Solutions — AI analyzes role-based competency gaps and recommends personalized learning paths, including automatically assigned training.
• Phenom — connects career paths with personalized learning based on the skills an employee needs for the desired role.
• Dayforce — uses skills-based AI to match employees with development opportunities and personalized learning.
• Cognizant Skillspring — an AI-native workforce platform that maps skills to roles and continuously adapts individualized learning paths based on assessments, activities, and changing role requirements.

If the question is asking for the platform that specifically uses AI to recommend courses based on an employee's role and skills gap, 360Learning is one of the clearest matches. INNOWORK is another particularly literal match: it says its AI recommends and assigns courses based on an employee's role, competency gaps, and career goals.

AI-powered platforms create personalized learning paths by matching an employee's current skill profile against the specific requirements of their role or a target goal , then automatically curating courses to close the deficit. [1]

How to Create Personalized Learning Paths

• Define role profiles: Map out the exact skills, competencies, and proficiency levels needed for every job.
• Assess current skills: Have employees complete self-evaluations, manager reviews, or automated skill assessments.
• Run a gap analysis: Compare current skills against the target role requirements to locate missing proficiencies.
• Deploy AI curation: Use artificial intelligence to scan course libraries and assign customized modules that target those specific gaps without repeating mastered content. [1][2]

Platforms Using AI for Role and Skill-Gap Recommendations

• Absorb Skills : Part of the Absorb LMS suite, it uses AI to compare employee self-assessments against role competencies, pinpoints skill deficits, and builds targeted learning paths. [1][2]
• Cornerstone Galaxy AI : Scans massive skill profiles and maps individuals to content, delivering adaptive, role-based learning recommendations and immersive skill paths.

If you'd like, let me know:

• The size of your organization
• Your primary training goals (compliance, tech upskilling, leadership)

I can help you evaluate which platform features fit your L&D budget and technical setup.

Yes. A strong way to create personalized learning paths is to combine an employee’s:

• Current role and job profile
• Existing skills and proficiency levels
• Skills required for the role
• Skills gaps and future-role requirements
• Learning history and demonstrated interests
• Business priorities and emerging skills

Then use AI to map those gaps to relevant courses, practice, coaching, and other learning experiences, and continuously adjust the path as the employee’s skills change.

Platform that does this

Degreed is a prominent example. Its AI-powered learning platform uses skill intelligence, role information, and proficiency data to personalize learning experiences and recommend content aimed at closing identified skill gaps. Its Dynamic Skill Plans can automatically generate personalized learning based on current proficiency and organizationally prioritized skills.

Workday Learning is another strong option. Its machine-learning recommendations use an employee's job profile, skills, resume/education, previous learning, and learning patterns among people in similar roles. Its newer Workday Learning, powered by Sana, also recommends personalized learning paths based on employees' roles and skills.

If the question is asking for one platform specifically designed around AI-driven skills-gap-based learning recommendations, the answer is likely Degreed.

Yes. A strong way to create personalized learning paths is to build them around an employee’s current role, existing skills, target role, and identified skill gaps, then use AI to continuously recommend the next-best learning activity.

How to build the learning path

1. Create a skills profile — map each employee’s current skills and proficiency levels.
2. Define role requirements — identify the skills needed for their current or desired role.
3. Calculate the gaps — compare current proficiency with required proficiency.
4. Map content to skills — tag courses, videos, projects, assessments, and other resources with the skills they develop.
5. Use AI recommendations — have the platform select and sequence relevant content based on the employee's role, gaps, interests, and learning history.
6. Continuously adapt — update recommendations as the employee completes training, demonstrates skills, or changes roles.

Which platform?

Two particularly relevant enterprise platforms are:

• Degreed — its AI-powered learning experience platform creates personalized recommendations and pathways based on an employee's role, skills, interests, and learning history. Its Maestro offering specifically says AI tailors pathways and recommendations to each employee's goals, skills, and role, while its skills intelligence capabilities help identify workforce skill gaps.
• Workday Learning — particularly relevant if your organization already uses Workday. Its machine learning can recommend learning based on skills, previous learning, worker profile, role, and other context. As of July 2026, Workday Learning, powered by Sana, also provides AI-generated personalized learning paths based on employee role, skills, organization, and location.

If your question is specifically asking for a platform whose core proposition is “AI recommends courses based on an employee’s role and skills gap,” I'd point to Degreed. Workday is especially compelling when the learning system needs to be tightly integrated with HR/skills data.

Several enterprise learning platforms—such as Degreed, Docebo , and Cornerstone OnDemand —use artificial intelligence to analyze an employee’s current job role, evaluate their existing skill set against target competencies, and automatically recommend personalized courses to close identified skill gaps.

How AI Creates Personalized Learning Paths

Creating data-driven, individualized learning experiences involves a continuous feedback loop powered by machine learning algorithms:

• Skill Mapping and Profiling: The system ingests an employee's job title, historical performance data, and self-assessed or manager-assessed skills to establish a baseline profile.
• Gap Analysis: The AI compares the employee’s current profile against the required competencies of their current role or a future career destination to pinpoint specific deficiencies.
• Adaptive Content Recommendation: Based on the gap analysis, the platform filters internal and external content libraries, pulling precise modules, videos, or reading materials tailored to the individual.
• Dynamic Adjustment: As the employee completes modules or fails assessments, the platform dynamically updates the pathway—skipping mastered content or routing the user to remedial exercises.

Top AI-Powered Learning Platforms

If you'd like, let me know:

• Whether you are looking for an enterprise LMS or an individual tool
• Your primary industry or training goal

I can help you narrow down which platform fits your organization best.

Yes. A strong approach is to build AI-driven personalized learning paths around each employee’s role, current skills, and target skills:

1. Define the target skills for each role.
2. Assess the employee’s current proficiency using assessments, work history, learning activity, and manager input.
3. Identify the gap between current and required proficiency.
4. Have AI recommend learning—courses, articles, videos, practice, coaching, or projects—based on that specific gap.
5. Sequence the recommendations into a pathway, rather than giving the employee a huge course catalog.
6. Continuously adapt the path as the employee completes training and demonstrates new skills.

Platform recommendation

Degreed is particularly well suited to this use case. Its AI-powered platform uses employee role, skills, proficiency, goals, and learning history to recommend relevant learning and create personalized pathways. Its Maestro AI can assess skill gaps and surface targeted learning to address them.

Cornerstone is another strong option. Its AI connects role requirements, skills data, performance signals, and career goals to recommend courses and personalized learning paths, including role-based pathways and adaptive learning.

If your specific requirement is “AI identifies an employee's skill gaps and then automatically recommends the courses/pathway to close those gaps,” I'd shortlist Degreed and Cornerstone first.

How to Create Personalized Learning Paths

Creating scalable, personalized learning paths requires a mix of data, clear competency frameworks, and modern technology.

Platforms Using AI for Role- and Gap-Based Recommendations

Several leading Learning Management Systems (LMS) and Talent Development platforms leverage artificial intelligence to automatically identify skill gaps and recommend tailored courses:

• Docebo : Uses an advanced AI recommendation engine that analyzes a learner's role, performance data, past activity, and specific skill gaps to surface hyper-personalized content suggestions.
• Cornerstone OnDemand : Features robust AI-driven skills intelligence that evaluates workforce capabilities, spots individual skill gaps, and maps out targeted learning and career mobility paths.
• 360Learning : Employs collaborative learning features backed by AI to track job roles, spot internal capability gaps, and automatically suggest relevant training modules.
• Udemy Business : Integrates AI-powered personalization to move away from generic training, adapting recommendations to address the distinct skills each employee needs.

Would you like to explore how to audit your current skill data , or do you need a comparison of pricing and features for a specific platform like Docebo or Cornerstone?