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Dive deeper, develop an effective strategy, and start leveraging the full power of machine learning technologies.

  • AWS E-books
  • MIT, IDC, IDG reports
  • Training & Certification E-books
  • AWS E-books
  • The Machine Learning Journey

    The machine learning journey

    Businesses have the opportunity to unlock significant value across the organization with
    the help of machine learning and AI. Follow the proven path to machine learning success. Read the e-book to discover: 

    • The full machine learning journey in 6 steps
    • How to transform investments into business-differentiating solutions
    • Inspiring stories of industry leaders who’ve successfully implemented machine learning
    • Insights from AWS machine learning experts

    7 leading machine learning use cases

    7 leading machine learning use cases

    Move beyond the hype and discover the tangible benefits of machine learning. In this e-book, we have outlined seven leading use cases where businesses have successfully applied machine learning to achieve fast, efficient, measurable results. Read the e-book to learn more about these use cases and the requirements you should look for when identifying a suitable application for machine learning, such as: 

    • Solves real business problems 
    • Leverages sources of untapped data 
    • Can be completed in a matter of months

    Machine learning enterprise guide

    Machine learning enterprise guide

    Enterprises feeling the pressing need to embrace machine learning face challenges unique to their organizations and industries. Successful adoption requires the foresight of executives who understand the scale of implementation and the relevant business objectives—all while strategically avoiding the typical pitfalls that can hinder rapid implementation. AWS created this guide to: 

    • Help executives tackle the implementation of machine learning in a manageable framework 
    • Demonstrate the deep insights and business gains achieved when this technology is efficiently deployed and effectively leveraged 
    • Share examples of enterprise customers that run on AWS tools and technologies and are seeing real business results

    Accelerating machine learning innovation through security

    Accelerating machine learning innovation through security

    To build successful machine learning models, you often need datasets unique to your business. These datasets are extremely valuable assets and need to be secured throughout every step of machine learning—including data preparation, training, validation, and inference. Amazon SageMaker, a fully managed machine learning service, provides comprehensive security features that can help your organization: 

    • Meet the strict security requirements of machine learning workloads 
    • Secure datasets through every step of the process 
    • Go from idea to production faster, more securely, and with a higher rate of success

    Accelerating machine learning innovation through security

    Tackling our world’s hardest problems with machine learning

    With the evolution of machine learning technologies, industries and categories are now using the power of machine learning for the benefit of society. Learn how innovators are tapping into the best practices, in-depth expertise, and powerful solutions of companies like AWS to launch new initiatives and solutions that are improving lives and protecting our planet right now, including: 

    • Advances in medicine 
    • Supporting our veterans 
    • Housing the homeless 
    • Reducing carbon emissions
  • MIT, IDC, IDG reports
  • A strategic playbook for data, analytics, and machine learning

    A strategic playbook for data, analytics, and machine learning

    If your organization is like most others, the pressure is on to use data, analytics, and machine learning to drive critical business decisions, including:

    • When to expand product offerings
    • How to introduce new revenue streams
    • Where to automate manual processes
    • How to optimize interactions with customers and business partners

    Download the IDG CIO Playbook for help refining your data-driven strategy so you can effectively scale analytics and machine learning across your enterprise. Get the guidance you need to accelerate innovation and drive your business forward with data. 


    The AI & machine learning imperative

    The AI & machine learning imperative

    Machine learning is transforming how businesses innovate with AI. Still, many leaders find it difficult to sift through the market hype in search of meaningful value. 

    This guide can help decision makers at every stage of the journey confront and resolve challenges across the three key levels of AI adoption: leadership, organization, and talent.


    What leaders must know about data for machine learning

    What leaders must know about data for machine learning

    To build successful machine learning models, you often need datasets unique to your business. These datasets are extremely valuable assets and need to be secured throughout every step of machine learning—including data preparation, training, validation, and inference. Amazon SageMaker, a fully managed machine learning service, provides comprehensive security features that can help your organization: 

    • Meet the strict security requirements of machine learning workloads 
    • Secure datasets through every step of the process 
    • Go from idea to production faster, more securely, and with a higher rate of success

    Transform your workforce with skills for machine learning

    Transform your workforce with skills for machine learning

    Upskilling is essential to preparing a workforce for machine learning’s continued march into the mainstream. This guide provides a framework for action on closing the machine learning skills gap by developing capabilities and aptitudes already present in an organizations workforce.Download the guide to discover how to:

    • Access and identify gaps in your workforce with skills for machine learning
    • Create a framework for getting it done
    • Launch and maintain a training program
  • Training & Certification E-books
  • Training and certification for your machine learning journey

    Training and certification for your machine learning journey

    Machine learning, a foundational mechanism enabling artificial intelligence (AI), is one of the most empowering fields within IT today. However, a lack of trained and certified machine learning talent has become a barrier to the widespread adoption of the technology. In this e-book, we’ll review the promise of machine learning and how innovations in training and certification give developers and data scientists an advantage by equipping them with the skills to help their organizations achieve success.


    How machine learning skills can advance careers

    How machine learning skills can advance careers

    By improving their machine learning skills, developers and data scientists can accelerate or expand their careers, provide more value to their organizations, and increase their teams’ standing. Much of this can be achieved by transforming the growing IT skills gap—the separation between the capabilities of advanced technologies and the abilities of internal teams to fully capitalize on them—into an opportunity.


    Machine learning path: Developer skills tracker

    Machine learning path: Developer skills tracker

    The AWS Training and Certification Machine Learning Path: Developer is a curated curriculum of self-paced digital, virtual classroom, and in-person classroom courses designed for developers, software engineers, and builders who want to become machine learning subject-matter experts. Most courses are free and available on demand—so you can study machine learning and real-world applications however, whenever, and wherever you want.


    Machine learning path: Data scientist skills tracker

    Machine learning path: Data scientist skills tracker

    The AWS Training and Certification Machine Learning Path: Data Scientist is a curated curriculum of self-paced digital, virtual classroom, and in-person classroom courses designed for data scientists—and all those skilled in mathematics, statistics, and analysis—who want to become machine learning subject-matter experts. Most courses are free and available on demand—so you can study machine learning theory and real-world applications however, whenever, and wherever you want.

Learn more about Machine Learning on AWS    

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