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Learn the essentials of monitoring and observability in development and DevOps. Explore tools and techniques for tracking system performance, identifying bottlenecks, and ensuring the reliability and scalability of software in production environments.
Understand the fundamentals of encryption and quantum-safe techniques. Learn how to secure data using encryption, and explore emerging quantum technologies to ensure your security protocols are future-proof in the evolving landscape of cybersecurity.
Learn the essentials of application security for developers and DevOps professionals. Understand how to identify, prevent, and mitigate security vulnerabilities throughout the software development life cycle.
The ability to analyze malware has become a necessary skill for anyone performing incident response. This course will teach the skills required to properly, quickly, and safely analyze malware by examining both its characteristics and behavior.
Master the principles of Test-Driven Development (TDD) and Behavior-Driven Development (BDD). Learn how to write effective unit tests and behavior tests to ensure software quality, and explore tools like JUnit, Cucumber, and Gherkin to automate testing in your development process.
Dive into big data analysis with R and Apache Spark. Learn how to process and analyze massive datasets using R and Spark, apply machine learning models, and gain hands-on experience in the efficient handling of big data for insightful decision-making and scalable analytics.
Learn how to build Watson AI and Swift APIs and monetize your creations. This course covers the essentials of integrating IBM Watson AI services with Swift to build intelligent applications, and explores strategies to generate income by leveraging your technical skills in the app development market.
Learn how to create a 3D VR app using Three.js and WebXR. Explore the basics of VR development and learn how to build immersive 3D environments and applications that can be experienced with virtual reality devices directly in the browser.
Build your own Natural Language Processing (NLP) cuisine classifier. Learn how to use NLP techniques to classify different types of cuisines based on recipe descriptions or ingredients, and apply machine learning to automate the categorization process.
Get started with Large Language Model (LLM) foundations and tokenization. Learn how tokenization is a critical step in NLP and machine learning, and explore techniques for breaking down text data into meaningful components for model training.
Master the basics of performing CRUD (Create, Read, Update, Delete) operations with Python. Learn how to interact with databases and manage data efficiently using Python and popular libraries such as SQLite and SQLAlchemy.
Learn the essentials of monitoring and observability in development and DevOps. Explore tools and techniques for tracking system performance, identifying bottlenecks, and ensuring the reliability and scalability of software in production environments.
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