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Apply deep learning to real-world challenges: load data, build and validate models, and present results. Gain hands-on experience with image classification using pre-trained networks like ResNet and VGG16.
Learn R programming essentials for data science: data types, manipulation techniques, and fundamental tasks. Gain practical skills through hands-on exercises using RStudio and Jupyter notebooks for data analysis.
Learn to efficiently research and deliver high-quality work using a five-step process. Develop essential skills for professional success and client satisfaction in any workspace.
Enhance essential IT skills in networking, storage, and system administration. Learn network fundamentals, configuration, troubleshooting, and storage types. Develop practical skills through hands-on labs and activities.
Master prompt engineering strategies and build complete GenAI applications with LangChain, creating responsive AI solutions using Python, Flask, and Gradio while comparing different language models.
Gain insights into generative AI's business impact, from foundation models to ethical implementation, while learning practical applications for customer service and modernization strategies.
Learn big data processing with Hadoop and Spark. Gain hands-on experience in distributed computing, data analysis, and SQL querying. Explore real-world applications and industry tools.
Explore software basics, cloud computing, web browsers, programming concepts, and database fundamentals. Gain practical skills through hands-on labs and a final project to boost your IT expertise.
Learn to train and evaluate classification models, including logistic regression, decision trees, and ensembles. Gain hands-on experience with best practices like handling unbalanced classes and using various error metrics.
Comprehensive introduction to statistical methods for data analysis using Python, covering descriptive statistics, data visualization, probability, hypothesis testing, and regression analysis with hands-on practice.
Learn to build data pipelines using Shell, Airflow, and Kafka. Master ETL and ELT processes, explore tools for data extraction, transformation, and loading, and gain hands-on experience with Apache Airflow and Kafka.
Master the fundamentals of business analysis, from stakeholder engagement to digital transformation. Learn essential tools, techniques, and real-world applications while preparing for a career as a Business Analyst.
Explora la IA desde cero: conceptos, aplicaciones y herramientas de IBM Watson. Crea chatbots sin programar y aprende Python para ciencia de datos. Ideal para principiantes en tecnologÃa.
Explore generative AI architectures, LLMs, and data preparation techniques. Learn tokenization, data loading, and practical implementation using popular libraries for NLP and AI applications.
Hands-on training for navigating IBM Mainframe z/OS environments, covering ISPF/PDF dialogs and TSO/E commands through seven practical labs with live access to an IBM Z server.
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