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IBM Watson Application Development Certification Bootcamp Course Overview

IBM Watson Application Development Certification Bootcamp Course Overview

The IBM Watson Application Development Certification Bootcamp is an intensive course designed to equip learners with the skills to develop applications using IBM Watson AI services. Through a comprehensive curriculum, participants will gain a deep understanding of cognitive computing fundamentals, various machine learning technologies, and how to apply these in practical scenarios using IBM Cloud (formerly Bluemix).

Starting with the basics, learners will dive into AI system characteristics, neural networks, and different machine learning approaches. They will learn about precision, recall, and accuracy in AI models, and the importance of data separation for training and validation.

The bootcamp also covers a wide range of IBM Watson services, including Speech to Text, Visual Recognition, and Assistant, among others. Participants will learn to call Watson APIs, choreograph multiple services, and deploy cognitive applications on IBM Cloud.

With hands-on lessons and practical use cases, this certification bootcamp prepares developers to create sophisticated AI-driven applications, ensuring they understand AI technologies, Watson services, and application development within the IBM ecosystem. Moreover, it addresses administrative and DevOps aspects to manage and monitor applications effectively. This comprehensive training is a stepping-stone for developers looking to excel in the era of cognitive computing and AI.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 24 Hours)
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Course Prerequisites

To ensure a successful learning experience in the IBM Watson Application Development Certification Bootcamp course, participants should possess the following minimum prerequisites:


  • Basic understanding of computer programming concepts, including familiarity with a programming language such as Python, Java, or Node.js.
  • Fundamental knowledge of artificial intelligence (AI) concepts and terminology, including machine learning, neural networks, and cognitive computing.
  • Awareness of data handling and processing techniques, such as data formats (JSON, XML), data storage, and data manipulation.
  • Basic proficiency in web development fundamentals, including HTML, CSS, and JavaScript, for the deployment of web applications.
  • Familiarity with cloud computing concepts and experience with cloud platforms, ideally IBM Cloud (formerly Bluemix), including the ability to navigate and use the cloud interface.
  • Understanding of RESTful APIs and how to integrate external services into applications.
  • Basic knowledge of command-line tools and version control systems, such as Git, for software development and deployment processes.
  • Willingness to engage with complex technical concepts and apply them to real-world scenarios.

These prerequisites are designed to establish a foundational skill set that will enable participants to fully engage with the course material and practical exercises. No prior experience with IBM Watson services is required, as the course is structured to guide learners through the essentials of developing cognitive applications using the Watson Developer Cloud.


Target Audience for IBM Watson Application Development Certification Bootcamp

The IBM Watson Application Development Certification Bootcamp by Koenig Solutions equips participants with skills to build AI-driven applications on IBM Cloud.


  • Software Developers and Engineers interested in AI technologies
  • AI and Machine Learning Enthusiasts
  • Data Scientists who want to integrate cognitive computing into their analysis
  • IT Professionals aiming to specialize in AI services and solutions
  • Cloud Application Developers seeking to utilize IBM Watson services
  • Cognitive Developers working on AI-based projects
  • DevOps Engineers focusing on cloud-based AI applications
  • Technical Project Managers overseeing AI and machine learning projects
  • Technology Consultants advising on AI adoption and integration
  • Computer Science Students and Graduates looking to enhance their AI skills
  • Technical Architects designing AI-infused systems and solutions
  • Entrepreneurs aiming to incorporate AI into their business solutions
  • Professionals working on AI implementations in customer service, such as building chatbots
  • Researchers in AI, cognitive science, or related fields seeking practical application knowledge
  • Application Developers looking to expand their expertise into AI and cognitive services


Learning Objectives - What you will Learn in this IBM Watson Application Development Certification Bootcamp?

Introduction to Learning Outcomes

The IBM Watson Application Development Certification Bootcamp equips learners with the skills to create AI-powered applications using IBM Watson services on the IBM Cloud, focusing on cognitive computing fundamentals and practical AI integration.

Learning Objectives and Outcomes

  • Understand the defining characteristics of AI systems and the basics of cognitive computing.
  • Gain knowledge of neural networks, machine learning technologies, and their learning approaches: supervised, unsupervised, and reinforcement.
  • Identify common use cases for cognitive systems and measure the performance of AI services using precision, recall, and accuracy metrics.
  • Learn the importance of data separation into training, validation, and test datasets for model accuracy.
  • Utilize Watson Knowledge Studio for domain adaptation and understand intents, classes, ground truth, and corpus in AI development.
  • Select appropriate AI technologies and Watson services based on use cases and data formats, integrating with external systems when necessary.
  • Acquire proficiency in using IBM Watson Developer Cloud services, including text classification, SDKs, REST APIs, and configuring core Watson services.
  • Develop cognitive applications by calling Watson APIs, implementing digital assistants, and understanding service choreography.
  • Deploy and manage web applications on IBM Cloud, ensuring efficient resource utilization and performance monitoring.
  • Obtain and manage credentials for Watson services, ensuring secure and optimized application operations.