Build job-ready business intelligence (BI) professional skills in four months with valuable credentials. No prior experience is required.

Prepare for a career as a front-end developer. Gain the in-demand skills and hands-on experience to get job-ready in less than 4 months.

Build job-ready data science skills in just 4-6 months, plus get valuable practical experience and an IBM credential.

Build job-ready, in-demand AI product management skills in six months, plus get valuable practical experience and a credential. No experience in AI or product management required.

Harness the power of advanced language models. This learning path is crafted to empower you with the skills to leverage cutting-edge technology in your applications, unleashing the potential of large language models to enhance user experiences and innovate in diverse domains.

Gain practical knowledge in statistics, Python, data manipulation, and machine learning through courses and hands-on projects, laying a solid Data Science foundation.

Explore the science of personalized suggestions, from basic algorithms to advanced machine learning techniques and generative AI. Build tools that shape user experiences and redefine decision-making.

Learn and implement Retrieval-Augmented Generation (RAG), a revolutionary framework that combines the capabilities of large language models (LLMs) with efficient data retrieval techniques. RAG enables AI systems to interact with and process vast amounts of data dynamically, offering precise and context-aware responses. This learning path takes you step-by-step through the foundational principles and advanced applications of RAG systems, empowering you to develop intelligent solutions for document summarization, question answering, web data analysis, and more.

Machine Learning and Deep Learning made easy.

Understand the power of AI and how it can be integrated into everyday tasks, leveraging the latest AI tools to make your work more efficient and productive.

Learn how to code in Python for data science, then analyze and visualize data with Python with packages like scikit-learn, matplotlib and bokeh. This is an action-packed learning path for data science enthusiasts and aspiring data scientists who want to learn data science hands-on with Python.

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Start your journey into AI

Are you interested in understanding 'Big Data' beyond the terms used in headlines? Then select this learning path as an introduction to tools like Apache Hadoop and Apache Spark Frameworks, which enable data to be analyzed on mass, and start the journey towards your headline discovery.