25 Courses on Artificial Intelligence by IBM
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Generative AI: Introduction and Applications
Explore common generative AI models and tools for text, code, image, audio, and video generation.
Generative AI: Enhance your Data Analytics Career
Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights
Generative AI: Elevate your Software Development Career
Develop innovative solutions using Gen AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant.
Generative AI: Elevate Your Data Science Career
Leverage generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai, available to Data Scientists for querying and preparing data.
Generative AI: Elevate your Data Engineering Career
Evaluate real-world case studies showcasing the successful application of Generative AI for ETL and data repositories
Generative AI: Business Transformation and Career Growth
Explain the transformative impact of generative AI on the business and industry landscape.
Generative AI: Boost Your Cybersecurity Career
Assess the use of generative AI in cybersecurity against threats, like phishing and malware, and understand potential NLP-based attack techniques.
Generative AI for Executives and Business Leaders
Apply generative AI to key use cases like customer service and application modernization.
Generative AI and LLMs: Architecture and Data Preparation
Differentiate between generative AI architectures and models, such as RNNs, Transformers, VAEs, GANs, and Diffusion Models.
Building Generative AI-Powered Applications with Python
Integrate and enhance large language models (LLMs) using RAG technology to infuse intelligence into apps and chatbots.