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Explore Linux administration on IBM Power servers, covering virtualization, installation, command-line operations, and device management with hands-on exercises in an IBM data center.
Learn COBOL programming fundamentals, including program structure, data types, arithmetic, and I/O statements. Gain hands-on experience coding and compiling simple programs in this mature, scalable language.
Explore advanced fine-tuning techniques for LLMs, including instruction-tuning, reward modeling, and direct preference optimization. Gain hands-on experience with cutting-edge tools to enhance AI performance and alignment.
Gain insights into strategic GenAI integration from IBM leaders, covering ROI, data leverage, use cases, model selection, and governance across marketing, HR, IT, and finance functions.
Exploratory data analysis, visualization, and hypothesis testing for a streaming media company. Learn estimation techniques, probability distributions, and null hypothesis significance tests through hands-on case studies.
Learn COBOL testing and debugging techniques, including error identification, file status codes, compile options, unit testing, TDD methodology, and using IBM z/OS Debugger for efficient code troubleshooting.
Develop essential program management skills, explore lifecycle phases, and learn about PMOs, stakeholder management, and certifications. Prepare for a rewarding career with hands-on practice and job market insights.
Learn about the ggplot2 data visualization package for R, creating map plots with geolocation data using Leaflet, and interactive dashboards to display your work on the web using the R Shiny package!
Comprehensive guide for cybersecurity job seekers, covering resume writing, interview preparation, and career strategies. Includes expert insights, practical exercises, and industry-specific advice for landing entry-level positions.
Dive into building AI agents that go beyond language generation to interact with tools, run code, and solve real problems using LangChain, function calling, and tool orchestration techniques.
Gain hands-on experience managing a project from start to finish, creating artifacts for both predictive and adaptive methodologies to showcase your skills to potential employers.
Unlock Apache Spark's potential for machine learning, covering fundamentals, supervised and unsupervised techniques, and Generative AI. Gain hands-on experience with Spark streaming, ML pipelines, and model evaluation.
Explore transformers, fine-tuning, and PEFT techniques for LLMs. Gain hands-on experience with Hugging Face and PyTorch to develop job-ready generative AI engineering skills.
Apply data science skills in a real-world project: collect and analyze data, conduct hypothesis testing, create visualizations, and build models. Present findings through an interactive dashboard and executive summary.
Prepare for a project management career with job search strategies, resume writing, interview techniques, and expert insights. Gain practical skills to stand out in the competitive job market.
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