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Learn test-driven and behavior-driven development techniques to build robust software. Practice creating, running, and analyzing tests using popular tools like Nose and Behave for more reliable code.
Master Java programming fundamentals through hands-on labs covering OOP, file handling, collections, and exception management, culminating in a real-world console application project.
Explore mobile app development fundamentals, ecosystems, and career paths. Learn about app types, platforms, languages, tools, and industry insights to kickstart your journey in this growing field.
Explore RAG, prompt engineering, and LangChain to build AI agents. Gain hands-on experience with LLMs, develop applications, and complete a real-world project to boost your AI career.
Develop machine learning skills through hands-on projects, including building recommender systems using various techniques like KNN, PCA, and collaborative filtering. Apply knowledge to real-world datasets.
Gain essential IT skills in hardware and network troubleshooting, covering laptops, mobile devices, storage, printers, and internal components. Master configuration, maintenance, and problem-solving techniques for various devices and systems.
Learn cybersecurity fundamentals, including security principles, CIA triad, IAM, endpoint security, and detection/response concepts. Gain practical skills through activities and labs for a comprehensive understanding.
Learn to implement, train, and evaluate generative AI models for NLP using PyTorch. Covers document classification, language modeling, translation, and building language models. Includes hands-on labs for practical application.
Demonstrate your proficiency in applying various Cloud Native tools and technologies to develop, deploy, run, and continuously enhance full stack applications on a cloud platform.
Learn SQL and R for data science, including database concepts, querying, and data manipulation. Practice with real datasets and tools to extract insights from relational databases.
Explore AI workflow in enterprise settings, covering design thinking, scientific approach, and data ingestion. Learn to prioritize business opportunities and build data pipelines using Python.
Master cross-platform mobile app development with Flutter and Dart, building intuitive interfaces, implementing databases and APIs, and publishing apps to iOS and Android platforms.
Aplica conocimientos del Certificado Profesional de Soporte IT de IBM en casos prácticos. Mejora habilidades de resolución de problemas, comunicación y atención al cliente en entornos profesionales.
Unlock generative AI's potential in data analytics, mastering tools and techniques for insights, visualization, and ethical applications across industries. Hands-on labs provide practical experience with cutting-edge models.
Master JavaScript essentials for web development. Learn fundamentals, data structures, DOM manipulation, error handling, and AJAX. Build dynamic websites through hands-on practice and a final project.
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