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Introduction to Test and Behavior Driven Development
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.
How to Build Watson AI and Swift APIs and Make Money
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.
Analyzing Big Data in R using Apache Spark
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.
Create your own 3D VR app with Three.js and WebXR
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.
Create NLP Cuisine Classifier
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.
LLM Foundations: Get started with tokenization
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.
Monitoring and Observability for Development and DevOps
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.
Performing CRUD Operations with Python
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.
Classification of Yelp Reviews using Sentiment Analysis
Discover how to classify Yelp reviews using sentiment analysis. Learn how to apply machine learning models to categorize reviews as positive, negative, or neutral, and gain insights into customer satisfaction and business reputation.
A/B testing: The art and science of data-driven choices
Master the art and science of A/B testing for data-driven decision making. Learn how to design, implement, and analyze A/B tests to optimize user experience, increase conversion rates, and make informed business decisions based on empirical data.
Build Swift Mobile Apps with Watson AI Services
Learn how to build mobile apps with Swift and Watson AI services. Combine the power of IBM’s AI capabilities with Swift to create intelligent mobile applications that can analyze data, provide insights, and offer real-time predictions to users.
Build a Brand Sentiment Analysis Extension for Twitter
Learn how to build a brand sentiment analysis extension for Twitter. Use natural language processing and machine learning to analyze Twitter data, gauge public sentiment around a brand, and create actionable insights for marketing and branding strategies.
Text Analytics 101
Discover the basics of text analytics in this introductory course. Learn how to extract meaningful information from text data, apply sentiment analysis, and preprocess text using natural language processing (NLP) techniques for data analysis and business insights.
Statistics 101
Master the fundamentals of statistics with Statistics 101. Learn key concepts like probability, hypothesis testing, and statistical inference, and apply them to real-world data analysis and decision-making scenarios in various industries.
Fundamentals of Encryption & Quantum-Safe Techniques
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.
Using R with Databases
Learn how to use R with databases to manage and analyze large datasets. Explore the power of R for database operations, from querying to visualization, and leverage SQL integration for efficient data handling and analysis.
Analyzing Big Data in R using Apache Spark
Dive into big data analysis with R and Apache Spark. Learn how to process large datasets, apply machine learning models, and analyze big data using R and Spark for efficient, scalable solutions in the world of big data analytics.
Legit Info – Call for Code for Racial Justice Open Source Project
Contribute to the "Legit Info" open-source project for racial justice. Learn how to use your technical skills to combat misinformation and promote equity, while working on projects that use data science, machine learning, and technology to address social issues.
R for Data Science
Master the essentials of R for Data Science. Learn how to manipulate data, visualize insights, and apply statistical methods to solve real-world problems. This course is perfect for those looking to advance their skills in data analysis and data science with R.
Build LLM & Challenge it to complete lyrics for 80’s songs
Discover how to build a Large Language Model (LLM) and challenge it to complete lyrics for 80’s songs. Dive into NLP and machine learning to train your model, and see how it performs in completing song lyrics based on patterns and context from the 80's music era.
Launch an AI Hotdog Detector as a Serverless Python App
Learn how to launch an AI-powered hotdog detector as a serverless Python application. Explore how to use machine learning models for image classification and deploy them in a serverless environment, allowing for scalable and cost-effective predictions.
Python Mini-Game Project
Learn how to build a Python mini-game project. Master the basics of game development by creating a fun and interactive game, and enhance your Python programming skills while exploring concepts like loops, conditionals, and user inputs.
Web Scraping for Python using Beautiful Soup
Learn web scraping with Python using Beautiful Soup. Understand how to extract and process data from websites, automate the collection of structured information, and store it for analysis using Python’s powerful scraping and parsing tools.
Real-Time Stock Price Dashboard with Jupyter Notebooks
Create a real-time stock price dashboard with Jupyter Notebooks. Learn how to visualize and analyze live stock market data using Python, and display interactive charts and updates in real-time, enabling informed trading decisions and financial analysis.
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.