Explore Credly’s Top AI Badges Across Foundational to Advanced Levels

    Explore the top AI badges on Credly across Foundational, Intermediate, and Advanced levels. Discover key steps to bridge skill gaps and effectively prepare your workforce for the future of AI.

    user-circle Credly Team
    hourglass-01 26 min read
    Learners browsing different AI badges on Credly

    Due to the rapid growth of AI, an additional 2.04 million tech jobs will be needed to implement and maintain emerging technologies. In the UK alone, around one in six UK organisations, have embraced at least one AI technology – according to government research.

    AI upskilling and reskilling in the workplace is more essential than ever. However, with the vast range of AI topics, it can be challenging to know where to start. Some roles may have already touched on AI, and individuals may have different levels of understanding.

    That said, all workers should have a foundational grasp of AI, with opportunities to advance as needed.

    In this blog, we highlight the top AI courses available on Credly for various levels—Foundational, Intermediate, and Advanced and key takeaways to help you shape your AI learning strategy.

    Different Mastery Levels on Credly

    Before diving into the top badges, let's define the different badge levels available on Credly.

    Each digital badge on Credly contains rich metadata, providing details about the type of credential, mastery level, time commitment, and cost. This metadata helps contextualize the badge, offering insights into what the credential represents and how it compares to others.

    sample badge page showing attributes

     

    Our badges are categorized into three mastery levels:
    • Foundational (e.g., Beginner, Fundamentals, Level 1)
    • Intermediate (e.g., Professional, Intermediate, Level 2)
    • Advanced (e.g., Specialist, Expert, Level 3)

    In this blog, we'll explore the top 10 badges at each level and highlight some common themes we observed.

    Top 10 Foundational AI Badges

    Foundational AI skills focus on basic concepts, tools, and techniques that provide a solid understanding of AI. These skills and courses are designed for beginners or those looking to build a base in AI before advancing to more complex topics. 

    image (8)

    Generative AI Overview for Project Managers

    Issued by Project Management Institute

    image-1

    IBM watsonx Essentials

    Issued by IBM

    image (1)

     

    watsonx.ai Sales Foundation

    Issued by IBM

     

     

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    Prompt Design in Vertex AI Skill Badge

    Issued by Google Cloud

     

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    IBM watsonx.ai Technical Essentials

    Issued by IBM

    Trustworthy AI and AI Ethics

     

    Trustworthy AI and AI Ethics

    Issued by IBM

     

     

    image (3)

    AI for Product Management

    Issued by Pendo

     

     

     

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    Exploring the SAP Business AI Portfolio - Record of Achievement

    Issued by SAP

     

     

     

     

    Key takeaways

    1. Diverse Applications of AI

      The badges cover a wide range of applications, from ethical considerations and technical skills to project management and sales. This diversity highlights the broad applicability of foundational AI knowledge across different professional roles and industries.

    1. Cross-Platform and Role-Specific Focus

      The presence of badges that cater to specific roles (like project managers and product management) shows an effort to tailor foundational AI education to different job functions, suggesting that understanding AI is crucial for various aspects of business and technology management.

     

    Top 10 Intermediate AI Badges

    Intermediate AI skills dive deeper into practical applications, tools, and methodologies that allow learners to implement AI solutions in real-world scenarios. These courses are geared toward professionals who already have a basic understanding of AI and are looking to enhance their technical proficiency or apply AI in their specific industry.

    image (7)-1

    Artificial Intelligence Fundamentals

    Issued by IBM

     

     

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    Python Project for AI and Application Development

    Issued by IBM

     

     

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    Applied AI with DeepLearning

    Issued by IBM

     

     

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    Machine Learning for Data Science Projects

    Issued by IBM

    image (3)-1

    Build and Deploy Machine Learning Solutions on Vertex AI Skill Badge

    Issued by Google Cloud

    image (5)-3

    Azure Responsible AI Workshop - Completion

     

     

    b35d6328-90bb-44b7-a8dd-3d4712678108

    Generative AI for Developers

    Issued by O'Reilly Media

     

     

    Key takeaways

    • Increased Focus on Real-World Applications

      Intermediate badges are often designed to address real-world applications and project-based learning, moving beyond theoretical knowledge to practical implementation. This is evident in courses like Build and Deploy Machine Learning Solutions on Vertex AI and Applied AI with DeepLearning.

    • Integration of Deep Learning and Advanced AI Techniques

      The inclusion of badges focused on deep learning and advanced AI techniques (e.g., Applied AI with DeepLearning, Classify Images with TensorFlow on Google Cloud) highlights a trend towards more specialized and complex skill sets.

     

    Top 10 Advanced AI Badges

    Advanced AI skills focus on specialized and cutting-edge AI technologies, including areas like machine learning engineering, generative AI, and enterprise-level AI deployment. These courses are designed for experts seeking to master the complexities of AI and lead innovation in their fields, requiring significant experience and technical knowledge.

    image (6)-3

    Professional Machine Learning Engineer Certification

    Issued by Google Cloud

    Professional_Certificate_-_AI_Engineering

    IBM AI Engineering Professional Certificate (V2)

    Issued by IBM

    image-Sep-17-2024-12-46-44-6608-PM

    Use Machine Learning APIs on Google Cloud Skill Badge

    Issued by Google Cloud

    image (1)-2

    Freshdesk Expert Certification

    Issued by Freshworks

    image (2)-3

    Develop Advanced Enterprise Search and Conversation Applications Skill Badge

    Issued by Google Cloud

    BADGE_DESIGN-05__1_

    Freshsales Suite Expert Certification

    Issued by Freshworks

     

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    SAS Certified Professional: AI & Machine Learning

    Issued by SAS

    new_certification_badge_image (1)

    SAS Certified Data Scientist

    Issued by SAS

    image (5)-4

    AI in the Cloud

    Issued by Intel

     

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    Certified AI Security Specialist

    Issued by Ampcus Cyber

     

     

    Key takeaways

    • Emphasis on Professional Recognition

      Many advanced badges are designed for professionals looking to validate their high-level expertise, such as the SAS Certified Professional: AI & Machine Learning and Certified AI Security Specialist. This shows a focus on industry-recognized credentials that signify a high degree of specialization and experience.

    • Focus on Real-World Applications

      Advanced badges often emphasize practical, real-world applications of AI, such as enterprise search, generative AI solutions, and security. This indicates that advanced training is not just theoretical but also deeply tied to solving complex problems and deploying sophisticated AI solutions.

     

    Actionable Steps to Bridge AI Skill Gaps in Your Workforce

    With the growing need for AI expertise, taking a proactive approach to upskilling your workforce is essential. By leveraging AI badges across foundational, intermediate, and advanced levels, organizations can create clear pathways for skill development. These steps will guide you in building a robust AI learning strategy, ensuring your team is prepared for the evolving demands of AI technologies.

    1. Pictogram-RGB-Bright Orange_ContactsConduct a Skills Audit: Evaluate your organization’s AI skills to identify gaps and areas for improvement. Use tools like Strategic Workforce Planning by Pearson to address these gaps and forecast future AI needs. [Discover more on how to identify & address AI skills gap in our blog]

    2. Viral marketingDesign Role-Specific Training: Create targeted training programs based on the different badge levels and the specific needs of various roles (e.g., technical professionals, managers, sales teams). Ensure the programs cover both technical skills and practical applications.

    3. Pictogram-RGB-Bright Orange_Grup securityIncorporate Training on Responsible AI: Ensure employees understand the ethical and societal implications of AI by including modules on responsible practices. This helps organizations reduce risks of bias or unintended consequences.

    4. Pictogram-RGB-Bright Orange_Trophy medalsAward Digital Badges: Invest in a digital credentialing platform to award digital badges upon completion of training modules and certifications. This recognition can motivate employees and provide clear evidence of their achievements.

    5. Pictogram-RGB-Bright Orange_PerformanceMap Out Progression: Use Credly's new Pathways feature to automate badge issuing based on pre-set criteria. By defining a learning journey where earning multiple badges leads to an automatic Completion badge, Pathways motivates employees to advance their skills with clear, achievable milestones.

    6. Pictogram-RGB-Bright Orange_TargetMeasure Impact: Evaluate the impact of upskilling efforts on organizational performance, innovation, and competitive advantage. [See our metrics your C-suite will care about]

    By taking these steps, organizations can effectively prepare their workforce for the challenges and opportunities presented by AI, ensuring they remain competitive, innovative, and ethically responsible in their AI endeavors.

    Credly is the leading digital credential network, with 93 million badges issued to over 46 million earners. In the AI field, Credly offers over 2 million AI-related badges, helping professionals stay competitive and address the global skills gap. 

    Access our latest Top 10 In-Demand AI Skills report, powered by Pearson's data, to discover the key skills to focus on for the future.

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