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Explore key cloud security concepts, from confidential computing to DDoS attacks, and learn about IBM's solutions for data protection, DevSecOps, and emerging technologies.
Gain practical experience in data pipelines, experiments, recommendation systems, and more. Develop essential skills in software engineering, data engineering, and experimental design for a successful data science career.
Learn SQL basics, relational databases, and advanced concepts through hands-on exercises. Master essential SQL statements, join operations, and data manipulation techniques for effective database management.
Dive into Machine Learning with Python, covering supervised and unsupervised learning, regression, classification, and clustering. Gain hands-on experience using SciPy and scikit-learn libraries.
Want to take the first steps to become a Cloud Application Developer? This course will lead you through the languages and tools you will need to develop your own Cloud Apps.
Explore data science fundamentals, applications, and career paths. Learn about big data, machine learning, and how organizations leverage data-driven insights for business success and societal impact.
Comprehensive program covering essential data science skills, tools, and methodologies. Develop expertise in Python, SQL, machine learning, and data visualization. Build a portfolio and prepare for a career in this high-demand field.
Explore cybersecurity fundamentals, threats, and defenses. Learn critical thinking, malware protection, IAM, and physical security. Gain practical skills through labs and expert insights for a career in cybersecurity.
Explore computer vision fundamentals, image processing, machine learning classification, neural networks, and object detection. Build and deploy a custom traffic sign classifier using Python, OpenCV, and cloud technologies.
Master financial planning and analysis with IBM tools and AI, covering budgeting, forecasting, variance analysis, and executive storytelling to become job-ready for FP&A roles.
Explore essential data science tools, languages, and platforms. Gain hands-on experience with Jupyter, RStudio, Git, and more. Develop practical skills for data analysis, visualization, and collaboration.
Learn Python for data science, AI, and development. Master basics, data structures, programming fundamentals, data manipulation, and APIs. Gain practical skills through hands-on labs using Jupyter Notebooks.
Master generative AI tools and techniques to revolutionize your UI/UX design workflow, from ideation to prototyping, using ChatGPT, Gemini, and specialized design platforms.
Master advanced generative AI skills including RAG pipelines, multimodal AI integration, and autonomous agent systems using tools like LangChain, LangGraph, CrewAI, and BeeAI to create sophisticated AI applications.
Master SEO and content marketing strategies to boost search rankings, drive engagement, and grow your business. Learn keyword research, on-page optimization, link building, and analytics for effective digital marketing.
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