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5 Best AI Training Software for AI Upskilling Programs (2025)

November 27, 2024
Discover top 5 AI training software to AI upskilling programs in 2025. Enhance skills and streamline training—read the article now!
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The future of training and development is set to be shaped by several emerging trends in AI and machine learning. AI training software is one of them. It personalized learning by using AI to tailor content to individual needs.

In this article, we’ll cover the top AI training software of 2025, emphasizing key features, benefits, and case studies to help you choose the right tool for your needs.

What we will explore together:

  • AI training software is revolutionizing education and corporate training by providing personalized learning paths, real-time feedback, and advanced analytics, leading to improved engagement and knowledge retention.
  • Successful implementation requires careful planning, including technology integration, data privacy considerations, and balancing AI solutions with human interaction to ensure a comprehensive learning experience.
  • Emerging AI trends, such as natural language processing and computer vision, will further enhance training programs by making learning experiences more intuitive and immersive, adapting to the evolving job market demands.

What is AI training software?

AI training software refers to technological tools utilizing artificial intelligence to deliver training content and enhance the learning process. These tools are designed to analyze vast data from training programs, helping identify patterns and trends that can improve educational outcomes.

What is AI training software?

One of the primary purposes of AI training software is to personalize the learning experience, making it more relevant and effective for individual learners.

Tailoring content to each learner’s unique needs and preferences, AI ensures the training is both engaging and highly effective. This personalized approach helps learners stay motivated and achieve their educational goals more efficiently.

Moreover, AI training software continuously evolves by analyzing learner data and feedback.

This adaptability allows it to refine and optimize the learning experience, ensuring it remains aligned with the learners’ progress and changing needs. As a result, AI training software is not just a tool for delivering content but a dynamic system that enhances learning outcomes through continuous improvement.

What should you consider in selecting the right AI training software?

When selecting AI training software, consider these key features that enhance learning and development:

AI-first and personalized learning paths

AI analyzes individual learner data to create customized learning paths, ensuring content is relevant and engaging, which boosts knowledge retention. Key features to consider when selecting AI training software include:

  • Trainable AI Model: Continuously learns and adapts to user interactions, ensuring content stays current and effective.
  • AI Community Assistant: Enhances collaboration and interaction among learners, fostering a supportive and engaging learning community.
  • Generative AI: As demonstrated by Disco AI, this feature allows for the creation of diverse content formats, including images, texts, quizzes, and video assets, tailored to various learning preferences.
  • Intelligent Content Recommendation: Provides tailored content suggestions based on learner data, improving engagement and knowledge retention.
  • AI Chatbot for Learners: Offers real-time assistance and personalized guidance, helping learners navigate through the content and resolve queries instantly, thereby enhancing the overall learning experience.

Deep customization and intuitive interface

Deep customization options empower businesses to align their training platforms with their unique brand identity. These options include white-labeling solutions, custom labels, and appearances that enhance the user interface to match company aesthetics.

Deep customization and intuitive interface

The significance of deep customization lies in its ability to offer a tailored experience without requiring advanced technical skills or the need to build a custom LMS from scratch.

Meanwhile, a user-friendly and intuitive interface allows learners to navigate content effortlessly.

A clean, modern look not only enhances the visual appeal but also facilitates better performance by minimizing distractions and focusing on essential learning materials.

A well-designed interface also supports seamless integration with other tools and platforms, providing a cohesive learning environment.

Real-time feedback and advanced analytics

These two are essential components of effective AI training software.

Real-time feedback provides immediate insights and recommendations on learner progress, allowing for timely adjustments and interventions to address challenges.

Meanwhile, advanced analytics offers robust tools to track learner progress and engagement, providing valuable insights into training effectiveness and highlighting areas for improvement.

Real-time feedback and advanced analytics

Together, these features enable a dynamic and responsive learning environment, ensuring that learners receive the support they need to succeed.

Automation and Integration

By automating routine tasks, the software efficiently groups members based on their responses, saving time and reducing manual effort. This automation ensures that learners receive personalized content and feedback promptly, improving engagement and knowledge retention.

Automation and Integration

Integration with third-party tools is another significant advantage, as it facilitates seamless data exchange and valuable data capture. This connectivity allows organizations to harness insights from various sources, providing a comprehensive view of learner progress and training effectiveness.

Overall, automation and integration empower organizations to deliver high-quality, scalable learning experiences while minimizing administrative burdens.

This approach not only enhances operational efficiency but also supports a more engaging and personalized learning environment.

5 Best AI training software for AI upskilling programs (2025)

SoftwareBest ForMain Features
DiscoComprehensive AI trainingAutomated Content Creation, Cohort-Based Social Learning, Social-First Features, AI-Powered Automation, Real-Time Analytics, Customizable Interface, Intuitive Design, Integrated Tools, Comprehensive Platform
DegreedEmployee upskilling and reskillingAI-Powered Personalization, Seamless Integration, Advanced Analytics, Intuitive User Interface, Comprehensive Content Library, Continuous Skill Assessment
PluralsightTechnology skill developmentAI-Powered Personalized Learning Paths, Comprehensive Course Library, Real-Time Skill Assessment, Hands-On Learning Experiences, Skill IQ and Role IQ
SC TrainingMicrolearning and on-the-go trainingAI-Driven Content Creation, Gamification Elements, AI Chatbots, Mobile-First Design, Seamless Integration
EdCastKnowledge management and continuous learningPersonalized Learning Experiences, AI-Driven Analytics, Continuous Learning Focus, Mobile Accessibility

#1. Disco - an exceptional AI training software (2025)

Disco has been recognized as the leading AI training software for 2025, offering a comprehensive suite of AI-driven features that provide a versatile and exceptional learning experience.

Disco - The most complete and #1 AI training software (2025)

Known for its modern interface and extensive customization options, Disco enables organizations to create personalized training environments that align with their brand identity, boosting engagement and learner satisfaction.

Supported by GSV Ventures, Disco is trusted by prominent organizations such as CourseHero, Kaplan, Toronto Board of Trade, and Mercury, and has been acclaimed by Fast Company and Edtech Breakthrough for its innovative learning approach.

Apart from this, Disco is an AI-powered social learning platform designed to help businesses create branded academies efficiently.

an employee chatting with an AI bot

It combines social learning with automation to offer personalized and scalable learning experiences.

Key features include AI-powered operations that automate tasks like reminders and curriculum generation, enhancing engagement and operational efficiency.

Lastly, Disco promotes community-based learning, making it ideal for mid-market companies and small teams within larger organizations.

Key Features:

  • Automated Content Creation: Streamlines course development by leveraging AI to generate comprehensive learning materials efficiently, saving time and resources.
  • Cohort-Based Social Learning: Encourages peer interaction and collaboration, fostering a community-driven learning environment that enhances knowledge sharing and retention.
  • Social-First Features: Includes interactive elements like channels, feeds, and polls to boost engagement and facilitate dynamic communication among learners.
  • AI-Powered Automation: Reduces manual tasks by automating routine processes, allowing trainers to focus on delivering high-quality content and personalized learning experiences.
  • Real-Time Analytics: Tracks learner progress and engagement, providing immediate insights that enable timely interventions and support for learners.
  • Customizable Interface: Allows full branding of academies, providing organizations with the flexibility to tailor the learning environment to reflect their unique brand identity and aesthetics.
  • Intuitive Design: Features easy drag-and-drop management, making it user-friendly and accessible for both trainers and learners, enhancing the overall learning experience.
  • Integrated Tools: Offers seamless integration with popular platforms like Slack and Zoom, ensuring a cohesive and connected learning experience across different tools and systems.
  • Comprehensive Platform: Consolidates learning tools and features into a single platform, simplifying the management of learning programs and providing a holistic solution for training needs.

Disco pricing details are available upon request.

Additionally, you can explore its features with a free 14-day trial. Additionally, you can schedule a demo with a customer representative to experience it firsthand and receive a personalized quote tailored to your needs.

#2. Degreed - comprehensive learning experience platform (LXP)

Degreed is a standout AI training software, renowned for its ability to provide a comprehensive learning experience that effectively upskills and reskills employees.

Degreed - comprehensive learning experience platform (LXP)

By leveraging AI-driven insights, Degreed personalizes learning paths, ensuring that each learner receives content that is both relevant and engaging.

This platform is particularly favored by organizations aiming to improve employee engagement and knowledge retention through its intuitive interface and advanced analytics tools.

Key features:

  • AI-Powered Personalization: Analyzes user data to recommend tailored courses and content, ensuring a personalized learning journey.
  • Seamless Integration: Supports multiple programming languages and integrates effortlessly with other learning management systems.
  • Advanced Analytics: Provides in-depth insights into learner progress and engagement, enabling data-driven decision-making.
  • Intuitive User Interface: Offers a user-friendly experience, making navigation and content access straightforward for learners.
  • Comprehensive Content Library: Access to a wide range of courses and resources, catering to diverse learning needs and preferences.
  • Continuous Skill Assessment: Regularly evaluates skill levels and identifies knowledge gaps, facilitating targeted learning interventions.

Degreed pricing is available upon request for enterprises.

#3. Pluralsight - premier technology skill development platform

Pluralsight is a top-tier AI training platform that specializes in advancing technology skills across various domains.

It offers an extensive library of courses in software development, machine learning, deep learning training, and data science programs for aspiring data scientists, catering to learners from beginners to seasoned professionals.

Pluralsight - premier technology skill development platform

Pluralsight harnesses the power of artificial intelligence to tailor learning paths and deliver real-time feedback, ensuring that users receive content that is both relevant and impactful.

Through its immersive hands-on projects and learning assessments, Pluralsight enables learners to apply their skills in practical, real-world scenarios, making it an excellent choice for those looking to elevate their technical expertise.

Key features:

  • AI-Powered Personalized Learning Paths: Customizes learning journeys based on individual skill levels and goals, enhancing engagement and effectiveness.
  • Comprehensive Course Library: Offers a vast array of courses covering the latest technology trends and practices.
  • Real-Time Skill Assessment: Provides instant feedback and insights on learner progress, allowing for timely interventions and adjustments.
  • Hands-On Learning Experiences: Includes projects and exercises that simulate real-world challenges, fostering practical skill application.
  • Skill IQ and Role IQ: Measures proficiency and readiness for specific roles, guiding learners on their development journey.

Pricing starts at $399/user/year for 2-250 users. If you have a larger team, you can ask for a personalized quotation.

#4. SC Training (formerly EdApp) - microlearning platform for online training

SC Training is a cutting-edge AI-powered microlearning platform that revolutionizes training by delivering engaging courses through concise, bite-sized lessons.

SC training enables organizations through their AI tools for content creation. Its dynamic gamification features and responsive AI chatbots significantly boost learner engagement, offering instant feedback and support.

With a user-friendly interface and seamless integration capabilities, EdApp is ideal for organizations aiming to provide effective training programs on the go.

Key features:

  • AI-Driven Content Creation: Facilitates the rapid development of interactive and personalized courses.
  • Gamification Elements: Incorporates engaging game-like features to enhance learner motivation and participation.
  • AI Chatbots: Provides real-time assistance and feedback, enhancing the overall learning experience.
  • Mobile-First Design: Optimized for mobile devices, ensuring accessibility and convenience for learners.
  • Seamless Integration: Easily integrates with existing systems to provide a cohesive learning environment.

SC Training pricing starts at $5 per learner per month. If you are a larger enterprise, they offer personalized quotations.

#5. EdCast - AI-powered knowledge cloud

EdCast is a leading AI-powered knowledge cloud platform designed to transform learning and knowledge management within organizations.

By leveraging advanced machine learning algorithms and machine learning models, EdCast curates a wide range of content from diverse sources, offering learners personalized recommendations and insights that cater to their unique learning needs.

EdCast - AI-powered knowledge cloud

Its robust AI-driven analytics tools enable organizations to effectively track learner progress, optimize training programs, and achieve better outcomes.

With seamless integration into existing enterprise systems and a strong emphasis on continuous learning, EdCast empowers organizations to enhance their training initiatives and drive workforce development.

Key features:

  • Personalized Learning Experiences: Utilizes AI to deliver tailored content recommendations based on individual learner profiles and preferences.
  • AI-Driven Analytics: Provides detailed insights into learner engagement and progress, facilitating data-driven optimization of training programs.
  • Continuous Learning Focus: Encourages ongoing skill development and knowledge retention through adaptive learning paths and resources.
  • Mobile Accessibility: Offers a mobile-friendly platform, allowing learners to access content anytime, anywhere, enhancing flexibility and convenience.

Pricing for EdCast is available upon request.

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What makes a great AI training software?

One of the most significant advantages is the ability to align training outcomes with business needs by identifying future skill demands.

AI-driven analytics measure the effectiveness of training programs by tracking engagement and linking learning outcomes to business performance, providing valuable insights that inform strategic decisions.

Personalized learning paths are another key benefit of AI-powered platforms. Evaluating employees’ current skill levels, AI identifies knowledge gaps and recommends courses tailored to individual learning preferences.

This tailored approach ensures that learners receive the most pertinent and impactful training, resulting in heightened engagement and improved knowledge retention.

AI provides real-time feedback, allowing learners to adjust their approaches and stay on track.

Furthermore, AI-powered training software leads to faster learning, reduced training costs, and efficient customer onboarding.

Automating content creation and administrative tasks, AI saves time and resources, making training programs cost-effective.

These platforms also facilitate on-the-job learning and provide accessible training opportunities, ensuring that employees can continuously develop their skills and stay competitive in the evolving job market.

How AI enhances employee learning experiences

AI is revolutionizing employee learning experiences by making them more engaging, personalized, and efficient.

Through gamification and adaptive technologies, AI transforms the learning process into an interactive and enjoyable journey, keeping learners motivated and invested in their progress.

AI-powered training software enhances engagement with interactive tools like chatbots that offer real-time assistance and tailored recommendations, ensuring learners receive immediate support.

A visual representation of personalized learning experiences enhanced by AI.

Moreover, the integration of virtual and augmented reality in training programs elevates learner engagement by providing immersive simulations that prepare employees for real-world scenarios. These technologies allow learners to practice skills in a safe and controlled environment, significantly boosting their confidence and competence.

AI's ability to adapt content based on individual learner needs ensures that each training session is relevant and effective, catering to diverse learning styles.

AI also facilitates personalized learning by analyzing learner data to pinpoint areas needing improvement.

This data-driven approach allows AI to customize learning experiences to fit each employee’s unique needs and preferences, offering contextual learning opportunities that are both engaging and effective.

As human-computer interaction continues to evolve, AI will play an increasingly pivotal role in creating intuitive and immersive learning experiences that empower employees to excel in their roles.

Deep learning frameworks in AI training software

Deep learning frameworks are the backbone of advanced AI training software, providing the foundation for creating sophisticated training deep learning models and solutions.

One of the key techniques gaining traction is transfer learning, which allows knowledge from one task to enhance learning in another, thereby reducing training time and improving efficiency.

This approach is particularly valuable in environments with limited labeled datasets, as it leverages pre-trained models to jump-start the learning process and supports various deep learning applications.

Additionally, a robust deep learning framework can significantly streamline the development of these models, including deep neural networks.

Data augmentation techniques are also crucial in AI training software, as they generate synthetic data to address challenges related to limited labeled datasets.

By expanding the training data, these techniques help improve the robustness and accuracy of AI models.

Additionally, the integration of advanced statistical models with machine learning algorithms enhances anomaly detection capabilities, making AI training software more effective in identifying and addressing potential issues.

Edge computing is another emerging trend that is becoming more prevalent in AI training software. Processing data closer to the source, edge computing enhances performance and minimizes latency, making AI-driven training solutions efficient and responsive.

These advanced techniques collectively contribute to the development of more powerful and effective software development AI training software, enabling organizations to deliver high-quality training experiences.

How to implement AI in corporate training programs?

Implementing AI solutions in corporate training requires careful planning and strategic collaboration.

Organizations must invest in suitable technology and ensure the compatibility of AI systems with existing learning management systems (LMS) for successful integration. This involves working closely with IT and learning departments to address technical challenges and ensure a smooth implementation process.

Data privacy and security are critical considerations when implementing AI in corporate training.

As AI systems rely on extensive datasets, organizations must ensure that data is collected, stored, and processed securely. Transparency about data collection and usage is essential to alleviate employee concerns about monitoring and data processing.

Clear communication and ethical practices can help build trust and support for AI initiatives.

AI analytics play a crucial role in evaluating employee performance and identifying skill gaps.

Providing real-time insights, AI enables organizations to proactively adjust training programs and address areas needing improvement.

However, it is important to remember that AI cannot replace human interaction or the educational value of live training sessions and peer discussions. Balancing AI-driven solutions with human elements ensures a comprehensive and effective training experience.

The future in AI for training and development: What is coming next?

“In 2025, 85 million jobs may be displaced by a shift in the division of labor between humans and machines, while 97 million new roles may emerge that are more adapted to the new division of labor between humans, machines and algorithms." - WEF Future of Jobs 2020 report.

The future of training and development is set to be shaped by several emerging trends in AI and machine learning.

This shift underscores the importance of continuous learning and adaptation to stay competitive in the evolving job market.

A futuristic depiction of AI and machine learning trends.

Advancements in natural language processing and computer vision are poised to play a significant role in the future of training. These technologies will enhance human-computer interactions, making learning experiences more intuitive and immersive.

Additionally, the integration of deep learning frameworks and machine learning technology will enable the development of more sophisticated AI models that can deliver highly personalized and effective training solutions.

Start upskilling your employees before it's too late. Start with Disco! 🪩

Among the list of the best AI training software, Disco stands out in 2025.

It allows organizations to create engaging and personalized training environments. Its advanced analytics and automation streamline tasks, providing real-time insights and ensuring efficient training programs.

Disco excels in content creation, offering a trainable AI model that enhances learning experiences with its AI curriculum generator that can generate training in a day or less.

See how it works:

🪩 If you're committed to elevating your team's performance in 2025, take advantage of Disco's 14-day free trial and begin upskilling your employees with cutting-edge AI features and LMS functionalities. Ready to see it in action? Schedule a demo with our customer representative today!

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