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Create a Cryptocurrency Trading Algorithm in Python
Master the process of creating a cryptocurrency trading algorithm in Python. Learn how to access live market data, analyze trends, and implement trading strategies using machine learning and data analysis to automate cryptocurrency trading.
Python for Data Science, AI & Development
Master Python for Data Science, AI, and Development. Explore key Python libraries and techniques for data analysis, machine learning, and AI development, enabling you to work on real-world projects like predictive modeling, automation, and more.
Developing AI Applications with Python and Flask
Learn how to develop AI applications using Python and Flask. Master the integration of AI models with Flask to create web applications that utilize machine learning algorithms and provide real-time insights and predictions.
Building true-to-production IT by using Testcontainers
Master the use of Testcontainers for building true-to-production IT environments. Learn how to automate container-based testing in Java, ensuring that your microservices and applications function as expected in a production-like environment before deployment.
Python for Data Science
Dive into Python for Data Science. Learn how to analyze and manipulate data, visualize insights, and build models using Python libraries like pandas, numpy, and matplotlib, providing you with the tools to solve real-world data problems in various domains.
Running GraphQL queries and mutations using a GraphQL client
Learn how to run GraphQL queries and mutations with a GraphQL client. Master the art of querying and modifying data in your applications with GraphQL, leveraging its flexibility and efficiency for modern API integrations in web and mobile applications.
Consuming RESTful services using the reactive JAX-RS client
Explore how to consume RESTful services using the reactive JAX-RS client. Understand how to perform asynchronous, non-blocking HTTP calls in a reactive system, ensuring responsiveness and scalability in Java applications.
Deploying microservices to OpenShift 4 by using Open Liberty Operator
Learn how to deploy microservices to OpenShift 4 using the Open Liberty Operator. Understand how to manage, scale, and monitor microservices in OpenShift environments, leveraging Kubernetes and container orchestration for efficient microservice deployment.
Acknowledging messages using MicroProfile Reactive Messaging
Discover how to acknowledge messages in microservices using MicroProfile Reactive Messaging. Learn how to process and consume messages asynchronously, ensuring that your microservices communicate effectively while maintaining data integrity and system performance.
Testing a MicroProfile or Jakarta EE application using Micro
Learn how to effectively test MicroProfile and Jakarta EE applications using Micro. Explore strategies for unit testing and integration testing in Java microservices, ensuring robust and error-free applications by applying testing best practices and frameworks.
Streaming updates to a client using Server-Sent Events
Master the use of Server-Sent Events (SSE) for streaming real-time updates to clients. Learn how to push updates efficiently from the server to the client over a single, long-lived HTTP connection, ensuring seamless communication in modern web applications.
Securing Java microservices with Eclipse MicroProfile JSON Web Token (MicroProfile JWT)
Learn how to secure Java microservices using Eclipse MicroProfile JWT. Master the implementation of authentication and authorization protocols with JSON Web Tokens, ensuring secure access to your microservices and protecting sensitive data in cloud environments.
Consuming RESTful services async-ly with template interfaces
Master the art of consuming RESTful services asynchronously with template interfaces. Learn how to handle non-blocking HTTP requests and responses, ensuring that your Java applications remain scalable and performant in modern cloud environments.
Enabling distributed tracing in Java microservices using Eclipse MicroProfile OpenTracing and the Jaeger tracing system.
Discover how to enable distributed tracing in Java microservices with Eclipse MicroProfile OpenTracing and Jaeger. Learn to track and monitor microservice interactions across distributed systems, providing insights into performance bottlenecks and optimizing service reliability.
Testing reactive Java microservices
Learn how to test reactive Java microservices effectively. Discover tools and strategies for testing non-blocking, event-driven services, ensuring that they handle high loads and deliver reliable results in production environments while maintaining performance and scalability.
Consuming RESTful Java microservices with template interfaces using Eclipse MicroProfile Rest Client
Learn how to consume RESTful Java microservices with template interfaces using Eclipse MicroProfile Rest Client. Understand how to streamline the process of making HTTP requests, handling responses, and interacting with microservices in a clean and efficient manner.
Checking the health of Java microservices by using Kubernetes readiness and liveness probes
Understand how to check the health of Java microservices using Kubernetes readiness and liveness probes. Learn how to configure Kubernetes probes to monitor microservice health, ensuring that services are running smoothly and can automatically recover from failures.
Monitoring the metrics of Java microservices using Eclipse MicroProfile Metrics
Learn how to monitor the performance of Java microservices using Eclipse MicroProfile Metrics. Gain insights into service health and performance with custom metrics, and leverage tools like Prometheus and Grafana to track and visualize important metrics for scaling and optimization.
Securing a Java web application using the Jakarta EE Security API
Explore how to secure Java web applications using the Jakarta EE Security API. Learn how to implement authentication, authorization, and security mechanisms in Java-based web applications, ensuring data protection and compliance with security standards.
Externalizing configuration for Java microservices using Eclipse MicroProfile Config
Learn how to externalize configuration in Java microservices using Eclipse MicroProfile Config. Discover how to manage configuration properties dynamically, making your microservices flexible and adaptable to different environments without changing the code.
Building fault-tolerant microservices with the @Fallback annotation
Discover how to build fault-tolerant microservices in Java using the @Fallback annotation. Learn to create resilient services that handle failures gracefully, using fallback methods to ensure high availability and minimize service disruption in case of errors.
Integrating RESTful services with a reactive system
Discover how to integrate RESTful services with a reactive system. Learn how to combine the scalability and non-blocking nature of reactive programming with the simplicity of REST APIs, ensuring responsive and efficient communication between services.
Managing and injecting dependencies into Java microservices using Contexts and Dependency Injection (CDI)
Master dependency injection in Java microservices using CDI (Contexts and Dependency Injection). Learn to inject services, resources, and configurations, improving code modularity, testability, and maintainability in microservice architectures.
Documenting RESTful APIs using MicroProfile OpenAPI
Learn how to document RESTful APIs with MicroProfile OpenAPI. Understand how to automate API documentation for Java microservices, enabling developers and stakeholders to easily access and understand API specifications, improving collaboration and productivity.
Comprehensive Guide to Cognitive Class
Overview of Cognitive Class: Cognitive Class, originally known as Big Data University, is an online platform renowned for delivering high-quality education in data science, AI, and other technology fields. This guide explores the key features, benefits, and impact of Cognitive Class, emphasizing how it empowers learners to gain valuable skills and advance their careers.Introduction to Cognitive Class
- What is a Cognitive Class? Cognitive Class is an educational platform offering a wide array of courses in data science, artificial intelligence (AI), and technology-related topics. Developed by IBM, it provides free access to resources aimed at helping individuals gain expertise in areas such as data analytics, machine learning, and cloud computing.
- Mission and Vision: Cognitive Class is dedicated to democratizing education by making advanced technological training accessible to everyone. The platform’s mission is to equip learners with the necessary skills and knowledge to thrive in the tech industry, thereby fostering a community of professionals capable of driving innovation and solving complex problems using data and AI.
Key Features of Cognitive Class
- Extensive Course Catalog: Cognitive Class offers a broad range of courses covering topics like data science, machine learning, AI, and cloud computing. These courses are designed to impart in-depth knowledge and practical skills, catering to learners at all levels, from beginners to advanced users.
- IBM-Developed Content: All courses on Cognitive Class are developed by IBM, leveraging the company's extensive industry expertise. This ensures that the content is not only relevant but also aligned with current industry standards, providing learners with high-quality instruction and practical insights.
- Free Access and Certification: Cognitive Class stands out by offering free access to its courses, making it an excellent option for individuals looking to enhance their skills without financial constraints. Additionally, learners can earn certifications upon completing courses, which can help validate their skills and improve career prospects.
Benefits of Using Cognitive Class
- High-Quality, Expert-Led Training: Courses on Cognitive Class are led by industry experts from IBM, ensuring that learners receive high-quality instruction grounded in extensive real-world experience. This expert-led approach equips learners with both theoretical knowledge and practical skills necessary for tackling real-world challenges.
- Accessible Education for All: By offering free access to its courses, Cognitive Class makes advanced technological education accessible to a global audience. This inclusivity helps bridge the gap in tech education and supports the development of a diverse and skilled talent pool.
- Career Enhancement and Development: Cognitive Class’s certification programs offer a significant boost to learners' resumes. By earning certifications, learners can validate their expertise, making them more attractive to employers and opening doors to new career opportunities in data science, machine learning, and AI.
Cognitive Class for Individuals and Organizations
- Skill Development and Mastery for Individuals: For individual learners, Cognitive Class provides an opportunity to develop and refine skills in data science, AI, and related technologies. The platform's courses are designed to offer practical knowledge and hands-on experience, enabling learners to apply their skills in real-world scenarios.
- Career Advancement: Cognitive Class certifications can enhance career prospects by providing recognized credentials that validate a learner’s expertise. These certifications can significantly improve job marketability and open up new career opportunities.
- Employee Training and Upskilling for Organizations: Organizations can utilize Cognitive Class to train and upskill their employees in areas such as data science, AI, and technology. The platform’s courses equip employees with valuable skills that can enhance performance and contribute to the organization’s success.
- Optimizing Data-Driven Strategies: By integrating Cognitive Class’s training into their development programs, organizations can enhance their data-driven strategies and technological capabilities, driving growth and improving overall effectiveness.
Success Stories and User Feedback
- Impact on Learners and Professionals: Cognitive Class has significantly impacted many learners and professionals by providing the skills and knowledge needed to succeed in the tech industry. Success stories highlight how individuals have leveraged the platform to advance their careers and achieve outstanding results.
- User Testimonials and Feedback: Feedback from users of Cognitive Class underscores the platform’s value and effectiveness. Testimonials frequently commend the quality of the courses, the expertise of the instructors, and the practical insights gained, reinforcing the platform’s role in delivering high-quality education.
Getting Started with Cognitive Class
- Creating an Account and Exploring Courses: Getting started with Cognitive Class is simple. Users can create a free account and explore the extensive course catalog, selecting courses that align with their learning goals. The platform’s user-friendly interface makes it easy to navigate and access educational resources.
- Choosing the Right Courses: To get the most out of Cognitive Class, learners should choose courses that match their skill level and career objectives. With topics ranging from introductory to advanced levels, users can tailor their learning experience to meet their specific needs.
- Utilizing Support and Resources: Cognitive Class offers additional support and resources to help learners succeed, including course materials, community forums, and expert guidance. Leveraging these resources can enhance the learning experience and maximize the benefits of the training.