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Upskilling Employees: Platforms, Programs, and Best Practices in 2026

Upskilling Employees: Platforms, Programs, and Best Practices in 2026

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Upskilling Employees: Platforms, Programs, and Best Practices in 2026

Upskilling moved from nice-to-have to urgent as AI and automation reshape every role. Here's how the leading programs work, which platforms fit which goals, and what actually produces measurable skill gains.

Why upskilling is urgent in 2026

The half-life of technical skills keeps shrinking. Roles that existed five years ago have evolved past recognition; roles that didn't exist are now core functions. AI, automation, and SaaS consolidation have accelerated the shift. Companies that upskill well retain talent, reduce hiring pressure, and move faster. Companies that don't hit skills gaps on every new initiative. What used to be a training program is now a strategic capability. Employees notice: the best talent gravitates to companies that invest in their growth, and the rest leave when their skills stagnate.

The tooling has matured too. AI-generated training videos, learning experience platforms, skills taxonomies, and in-app documentation hubs let companies build upskilling programs that would have cost millions a decade ago. Below is the practical guide: frameworks, platforms, and the patterns that produce real skill gains.

The 5 components of an effective upskilling program

1. Skills taxonomy

A skills taxonomy serves as the backbone of any upskilling initiative. It involves defining the skills your organization needs now and projecting those needs 18 months into the future. Without a comprehensive taxonomy, upskilling efforts risk becoming aimless and ineffective. Tools like Degreed can facilitate the creation of a skills taxonomy by working with HR business partners and functional leaders to identify and categorize essential skills. This structured approach ensures that every training initiative aligns with the strategic objectives of the organization, paving the way for targeted development efforts that prepare employees for evolving roles.

2. Skill assessment

Understanding the current skill level of your workforce is crucial for bridging the gap between present capabilities and future requirements. A solid skill assessment process combines self-assessment by employees, input from managers, and objective signals such as work output and certifications. This multifaceted approach provides a comprehensive view of each employee's strengths and areas for improvement, allowing organizations to tailor their upskilling efforts effectively. Regular assessments also help track progress over time, ensuring that skill development remains aligned with changing business needs.

3. Learning paths

Learning paths are the roadmaps that guide employees from their current skill levels to the target competencies needed for their roles. These paths should be customized to address the specific gaps identified in the skill assessment phase. Generic training programs often fall short of producing meaningful skill gains, but targeted learning paths provide a clear and structured approach to development. By incorporating a mix of learning content, hands-on projects, and experiential opportunities, organizations can create a dynamic learning environment that fosters continuous growth and adaptation.

4. Practice and application

Theoretical knowledge alone is insufficient for meaningful skill acquisition. True mastery comes from practice and application in real-world scenarios. Upskilling programs that integrate project work, stretch assignments, and apprenticeship models offer employees the chance to apply their new skills in practical settings. This experiential learning approach not only reinforces theoretical concepts but also builds confidence and competence in applying skills to actual work challenges. By embedding practice opportunities into learning paths, organizations can ensure that skills are internalized and retained long-term.

5. Measurement and iteration

Effective upskilling programs are built on a foundation of measurement and iteration. It's essential to track key metrics such as skill growth, internal mobility, and business impact to evaluate the success of the program. Organizations should use data-driven insights to refine and optimize their upskilling efforts continuously. By analyzing what works and what doesn't, businesses can make informed adjustments to their programs, ensuring they remain relevant and effective in addressing evolving skill needs. This iterative approach fosters a culture of continuous improvement and ensures sustained success.

Feature comparison: upskilling platforms

Tool

Best for

Content approach

Skill tracking

Trupeer

Internal content creation

AI-generated video + SOP

Via LMS integration

Degreed

Skills-first LXP

Curated external + internal

Yes (deep)

EdCast

AI-driven LXP

Curated + AI

Yes

Docebo

Enterprise LMS

Authored courses

Yes (LMS-style)

Cornerstone

Talent + learning

Authored courses

Yes

LinkedIn Learning

Professional skills

Curated video

Limited

Coursera for Business

Academic credentials

University-authored

Yes (certifications)

Pluralsight

Tech skills

Tech-specific content

Yes (skill IQ)

Tool breakdowns

1. Trupeer

Trupeer excels in transforming internal knowledge into structured training materials that external content can't cover. This platform allows organizations to record their internal systems, proprietary processes, or subject-matter-expert knowledge and convert it into AI-generated videos and SOPs. This capability is critical because the skills specific to your business rarely exist in curated libraries. Trupeer enables fast internal content creation, ensuring that employees can access company-specific knowledge that is tailored to their unique roles and responsibilities. While Trupeer is not a skills taxonomy tool, it pairs well with platforms like Degreed to provide a comprehensive upskilling solution.

Pros: Fast internal content creation, company-specific, per-user pricing.

Cons: Not a skills taxonomy tool; pair with Degreed or similar.

2. Degreed

Degreed stands out as a leading Learning Experience Platform (LXP) with a strong emphasis on skills-first learning. It curates content from various providers, offering a diverse range of learning resources. Degreed's solid skills taxonomy and career pathing capabilities make it an excellent choice for organizations looking to align their upskilling efforts with strategic goals. However, it's worth noting that Degreed's compliance tracking features are less comprehensive than those offered by traditional LMS platforms, which may be a consideration for organizations with stringent compliance requirements.

Pros: Strong taxonomy, career pathing.

Cons: Compliance tracking is weaker than an LMS.

3. EdCast

EdCast is an AI-heavy LXP that has gained attention for its advanced AI-driven recommendations. Acquired by Cornerstone, EdCast is evolving in its product direction. The platform offers curated content and uses AI to personalize learning experiences, making it a compelling option for organizations seeking innovative solutions. However, the acquisition has introduced some uncertainty regarding the platform's future direction, which may be a consideration for potential users.

Pros: AI recommendations.

Cons: Acquisition uncertainty.

4. Docebo

Docebo is a modern enterprise LMS known for its user-friendly interface and solid content marketplace integrations. It caters to organizations seeking a scalable learning management solution that can accommodate large enterprises. While Docebo excels in delivering authored courses, it may be less suitable for organizations prioritizing skills-first learning, as its focus leans more toward traditional LMS features.

Pros: Modern UX, enterprise scale.

Cons: LMS shape; less skill-first than LXPs.

5. Cornerstone

Cornerstone offers a comprehensive talent management suite that integrates learning, recruiting, performance, and succession planning. The platform's integrated approach makes it a valuable asset for organizations seeking a holistic solution for talent development. However, the platform's extensive features can make deployment a complex undertaking, and it may be more suitable for larger enterprises with dedicated resources for implementation.

Pros: Integrated suite.

Cons: Heavy to deploy.

6. LinkedIn Learning

LinkedIn Learning is widely recognized for its extensive library of professional and soft skills content. It is a popular choice among enterprises due to its brand recognition and comprehensive content offerings. However, the quality of content can vary, and organizations should carefully evaluate the courses to ensure they meet specific learning objectives. LinkedIn Learning is best suited for organizations seeking to enhance general skills and provide broad learning opportunities to their workforce.

Pros: Strong content library, brand recognition.

Cons: Content quality varies.

7. Coursera for Business

Coursera for Business specializes in academic-style courses and credentials, partnering with reputable universities to deliver high-quality learning experiences. The platform is ideal for organizations seeking to provide employees with recognized credentials and academic-level education. However, the pace of content updates may be slower compared to other platforms, and organizations should consider this when evaluating Coursera for Business as a potential upskilling solution.

Pros: Credentialing, university partnerships.

Cons: Slower pace of updates.

8. Pluralsight

Pluralsight is renowned for its deep technology skills content and skill IQ assessments, making it a top choice for organizations focused on technical skill development. The platform's strong tech depth and comprehensive assessment tools enable organizations to enhance their workforce's technical capabilities. However, Pluralsight's focus on technology skills may limit its effectiveness for broader professional skills development, and organizations should consider this when selecting a platform.

Pros: Strong tech depth, assessment tools.

Cons: Narrow to tech; weaker for broader professional skills.

In-depth analysis: what actually produces skill gains

The practice gap

Most upskilling programs fall short because they focus solely on content consumption without providing opportunities for practical application. Employees may watch hours of content, check the completion box, and retain only a fraction of the knowledge. To produce real skill gains, programs must pair content with hands-on experiences, such as project work, apprenticeships, or stretch assignments, where employees can apply what they've learned. Think of the content as scaffolding and the practice as the actual construction of skills. By integrating these practical experiences into learning paths, organizations can ensure that employees not only absorb information but also internalize it through real-world application.

Implementing practical applications can be achieved through capstone projects that challenge employees to use their new skills on real work tasks. Managers can assign stretch assignments aligned with skill development goals, encouraging employees to step outside their comfort zones and tackle new challenges. Additionally, cohort-based learning, where peers collaborate and teach one another, can foster a supportive and interactive learning environment. Without these mechanisms, content libraries risk becoming the world's most polite form of shelfware, with little impact on actual skill development.

Skills taxonomies beat course catalogs

Legacy learning programs often relied on course catalogs to guide training efforts. However, modern upskilling initiatives have shifted towards skills taxonomies as the foundation for development programs. This shift is significant because skills are what businesses truly need to thrive; courses are merely one method of achieving skill acquisition. A well-constructed skills taxonomy connects upskilling efforts to critical business functions such as hiring, internal mobility, compensation, and performance reviews. Employees gain a clear map from their current skill levels to potential career paths within the organization.

Organizations with mature skills taxonomies experience internal mobility rates that are two to three times higher than those without such frameworks. A skills-first approach not only aligns training initiatives with strategic goals but also fosters a culture of continuous development and advancement. By maintaining and updating skills taxonomies to reflect evolving business needs, organizations can ensure that their upskilling efforts remain relevant and impactful. This proactive approach enables employees to take ownership of their development and provides them with the tools to achieve their career aspirations.

Internal content beats external content for role-specific skills

Curated libraries, such as those offered by LinkedIn Learning and Coursera, are excellent resources for general skills, including management, communication, and generic programming. However, they often fall short when it comes to addressing role-specific skills that are unique to an organization. These unique skills may encompass internal systems, proprietary methodologies, or the tribal knowledge possessed by subject matter experts. To effectively upskill employees in these areas, organizations need tools that enable subject matter experts to record and share their expertise, scaling institutional knowledge faster than hiring or external training can.

The most successful upskilling programs strike a balance between external content for breadth and internal content for depth. While external libraries provide a wide range of learning opportunities, internal content ensures that employees gain the specialized skills needed to excel in their specific roles. By enabling subject matter experts to document and share their knowledge, organizations can create a dynamic repository of role-specific skills that enhances the overall effectiveness of their upskilling initiatives.

Challenges upskilling programs hit

No manager support. One of the most common challenges faced by upskilling programs is the lack of support from managers. When managers don't prioritize learning and fail to allocate dedicated time for employees to engage in training, upskilling efforts suffer. Employees may feel pressured to complete training on their own time, leading to uneven adoption and limited skill development. To overcome this challenge, organizations must emphasize the importance of learning as a strategic priority and enable managers to protect dedicated learning time for their teams.

No practice structure. Another challenge arises when upskilling programs focus solely on content consumption without providing structured practice opportunities. Without practical application, employees struggle to retain and internalize new skills. To address this issue, organizations should incorporate practice mechanisms such as projects, apprenticeships, and stretch assignments into learning paths. By doing so, employees can apply what they've learned in real-world scenarios, reinforcing their skills and building confidence in their abilities.

Skills taxonomies left unmaintained. A common pitfall in upskilling programs is building skills taxonomies that are left unmaintained. As businesses evolve and new skills become essential, outdated taxonomies become irrelevant and ineffective. To ensure that upskilling efforts remain aligned with business needs, organizations must regularly review and update their skills taxonomies. By keeping taxonomies current, organizations can provide employees with clear development pathways and ensure that training initiatives address the most critical skill gaps.

Platform proliferation. The proliferation of learning platforms can lead to overwhelming complexity and increased costs. Organizations may find themselves juggling multiple platforms, including LXP, LMS, content libraries, and coaching platforms, resulting in ballooning expenses. To mitigate this challenge, organizations should simplify their learning technology stack and prioritize platforms that align with their strategic objectives. By consolidating platforms and selecting those that offer comprehensive solutions, organizations can achieve cost-effective and efficient upskilling programs.

Measurement gap. Many upskilling programs fall short in measuring the impact of training initiatives. While completion rates may be tracked, they don't necessarily correlate with actual skill growth. Organizations must establish solid measurement frameworks that assess skill development, internal mobility, and business impact. By tying measurements to specific outcomes, organizations can gauge the effectiveness of their upskilling efforts and make data-driven decisions to optimize their programs.

Must-have features in an upskilling program

  • Skills taxonomy aligned to business needs: A well-defined skills taxonomy ensures that upskilling efforts are directly aligned with the organization's strategic goals. By identifying the skills needed to achieve business objectives, organizations can tailor their training programs to address critical skill gaps effectively.

  • Gap assessment per employee: Conducting regular skill assessments for each employee provides valuable insights into individual strengths and areas for improvement. This personalized approach enables organizations to create targeted learning paths that address specific skill gaps and foster continuous development.

  • Role-based learning paths: Customized learning paths that align with specific roles ensure that employees acquire the skills needed to excel in their current positions and prepare for future responsibilities. Role-based learning paths provide a clear roadmap for development and enable employees to progress along defined career trajectories.

  • Practice mechanisms (projects, apprenticeships, stretch assignments): Incorporating practical application opportunities into learning paths enhances skill acquisition and retention. By assigning projects, apprenticeships, and stretch assignments, organizations provide employees with hands-on experiences that reinforce their learning and build confidence in their abilities.

  • Internal content creation for role-specific skills: Internal content creation allows organizations to document and share proprietary knowledge and role-specific skills that aren't available in external libraries. enabling subject matter experts to create and share content ensures that employees have access to the specialized knowledge needed to excel in their roles.

  • External content curation for general skills: Curated external content libraries provide a diverse range of learning opportunities for general skills development. By integrating external content, organizations can offer employees access to a broad spectrum of learning resources that enhance their overall skill set.

  • Manager enablement to protect learning time: Managers play a crucial role in fostering a culture of continuous learning. By enabling managers to prioritize learning and protect dedicated training time, organizations ensure that upskilling efforts are supported at all levels and that employees have the opportunity to engage in meaningful development activities.

  • Measurement tied to skill growth and internal mobility: Establishing solid measurement frameworks that assess skill growth and internal mobility provides valuable insights into the effectiveness of upskilling programs. By measuring specific outcomes, organizations can make data-driven decisions to optimize their training efforts and drive continuous improvement.

Use cases and personas

Tech company reskilling: Margaret, CLO, 12,000-employee enterprise software company

Margaret, the Chief Learning Officer of a 12,000-employee enterprise software company, spearheaded an AI-skills reskilling program for 2,000 engineers. She used Pluralsight and Coursera to provide foundational AI knowledge, while using Trupeer to create internal content focused on the company's proprietary AI platform and frameworks. To ensure practical application, Margaret integrated project-based apprenticeships into the program, allowing engineers to apply their new skills in real-world scenarios. As a result, 78% of participants successfully shipped production AI features within six months, demonstrating the program's effectiveness in driving tangible outcomes.

Sales upskilling: Gabriel, VP of Sales Enablement, 450-rep SaaS company

Gabriel, the Vice President of Sales Enablement at a 450-rep SaaS company, implemented an upskilling path to transition Account Executives (AEs) into enterprise sales roles. He used LinkedIn Learning for foundational sales skills and relied on internal SOPs and videos to provide company-specific knowledge related to the enterprise sales playbook. To facilitate practical learning, Gabriel incorporated cohort-based project work, enabling AEs to collaborate and apply their skills in real-world sales scenarios. Within 18 months, 34 AEs successfully transitioned into enterprise sales roles, compared to only 9 in previous periods, highlighting the program's impact on career advancement.

HR internal mobility: Priscilla, Head of Talent Development, 6,000-employee financial services firm

Priscilla, the Head of Talent Development at a 6,000-employee financial services firm, embarked on a journey to enhance internal mobility within the organization. By using Degreed as the backbone of the upskilling program, Priscilla built a comprehensive skills taxonomy that aligned with business needs. She integrated this taxonomy into internal job postings, providing employees with clear career pathways and opportunities for advancement. As a result, internal mobility within the organization increased from 11% to 21% over two years, showcasing the program's success in facilitating career growth and talent development. For a broader tool fit, refer to the corporate learning software guide.

Best practices

Skills taxonomy first. The foundation of a successful upskilling program begins with building a comprehensive skills taxonomy. Before investing in learning platforms, organizations should focus on identifying the key skills needed to achieve their strategic objectives. By aligning the skills taxonomy with business goals, organizations can ensure that their training efforts are targeted and impactful, providing employees with clear pathways for development and advancement.

Pair content with practice. To maximize the effectiveness of upskilling initiatives, it's essential to pair content with practical application opportunities. Learning should go beyond content consumption and involve hands-on experiences that reinforce skill acquisition. By integrating projects, apprenticeships, and stretch assignments into learning paths, organizations can create dynamic learning environments that foster skill retention and mastery. Practical application ensures that employees internalize their learning and gain confidence in applying their skills to real-world challenges.

Internal content for role-specific skills. Internal content creation plays a critical role in addressing role-specific skills that aren't covered by external libraries. Each organization possesses unique knowledge and expertise that is vital to employee success. By enabling subject matter experts to create and share internal content, organizations can document and disseminate proprietary knowledge, enabling employees to acquire the specialized skills needed to excel in their roles. Internal content complements external resources, providing depth and specificity to upskilling efforts.

Manager enablement. Managers are key enablers of successful upskilling programs. It's crucial to engage and educate managers on the importance of learning as a strategic priority. By enabling managers to protect dedicated learning time for their teams, organizations create a supportive learning culture that encourages skill development. Manager enablement ensures that upskilling efforts are embraced at all levels of the organization and that employees have the opportunity to engage in meaningful development activities without competing priorities.

Measure skill growth and mobility. Establishing solid measurement frameworks is essential for evaluating the success of upskilling initiatives. Organizations should track skill growth, internal mobility, and business impact to assess the effectiveness of their programs. By tying measurements to specific outcomes, organizations can gain valuable insights into the impact of training efforts and make data-driven decisions to optimize their programs. Regular measurement and analysis enable organizations to continuously improve their upskilling initiatives and ensure sustained success.

Frequently asked questions

LXP or LMS for upskilling?

Choosing between a Learning Experience Platform (LXP) and a Learning Management System (LMS) for upskilling depends on your organization's priorities. If the focus is on skills development and career progression, an LXP is the better choice. LXPs offer personalized learning experiences, skills taxonomies, and career pathing features that align with strategic upskilling goals. On the other hand, if compliance tracking and standardized training are more critical, an LMS may be the preferred option. Many enterprises find value in using both platforms, using the strengths of each to address diverse learning needs.

How much should I budget for upskilling?

Budgeting for upskilling programs varies based on the maturity of the program and the organization's goals. For mature programs, organizations typically allocate 1-3% of employee compensation towards upskilling initiatives. This investment supports the development of comprehensive training programs that address critical skill gaps and drive meaningful business outcomes. Starter programs may require a smaller budget, while reskilling initiatives focused on significant skill shifts may necessitate a larger investment. By aligning budgets with strategic objectives, organizations can ensure that their upskilling efforts are adequately funded and impactful.

What's the fastest-growing upskilling area?

AI literacy and AI-assisted workflows are among the fastest-growing areas for upskilling. With AI technologies increasingly integrated into various roles and industries, organizations recognize the importance of equipping employees with the knowledge and skills to work effectively with AI. From understanding AI fundamentals to using AI tools for enhanced productivity, employees across all functions benefit from AI-related upskilling. Organizations that prioritize AI literacy and integration into workflows position themselves for success in an increasingly AI-driven landscape.

How do I measure ROI?

Measuring the return on investment (ROI) of upskilling programs involves assessing various metrics that demonstrate the impact of training efforts. Key indicators include internal mobility rates, time-to-productivity for employees transitioning into new roles, retention rates among program participants, and business outcomes tied to specific skills. By tracking these metrics, organizations can evaluate the effectiveness of their upskilling initiatives and make data-driven decisions to optimize their programs. Additionally, qualitative feedback from employees and managers provides valuable insights into the overall impact and value of upskilling efforts.

Do I need both external content and internal content?

Yes, successful upskilling programs benefit from a combination of external and internal content. External content provides a broad range of learning opportunities for general skills development, while internal content addresses role-specific skills that are unique to the organization. Programs that rely solely on one type of content often underperform, as they lack either the breadth or depth needed to address diverse skill needs. By integrating both external and internal content, organizations can create comprehensive upskilling initiatives that equip employees with the skills needed to excel in their roles and contribute to business success.

Final word

Upskilling is strategic capability, not a training program. Build a skills taxonomy, match content to gaps, pair with practice, and measure outcomes. The companies that invest in this now will outperform the ones still treating learning as compliance through the next decade.

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