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IBM AI Courses

IBM AI courses can help you learn how artificial intelligence (AI) models are designed, trained, and applied across different use cases. You can build skills in machine learning workflows, data preparation, model evaluation, and working with AI services offered through IBM’s platforms. Many courses introduce tools such as Python libraries, cloud-based environments, and interfaces that support experimenting with AI techniques and building practical solutions.

Popular IBM AI Courses and Certifications


  • I

    IBM

    Generative AI for Project Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Generative Model Architectures, Google Gemini, AI literacy, Project Management, LLM Application, AI Enablement, Project Management Life Cycle, Data Ethics, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Project Documentation, Augmented and Virtual Reality (AR/VR), Automation, Machine Learning

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression

    ★ 4.5 (4.2K) · Intermediate · Professional Certificate · 3 - 6 Months

  • I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    ★ 4.6 (3.6K) · Intermediate · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Deep Learning

    ★ 4.7 (331) · Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    RAG and Agentic AI Capstone Project

    Skills you'll gain: Model Context Protocol, Retrieval-Augmented Generation, Generative AI, AI Workflows, LLM Application, Generative AI Agents, AI Orchestration, Multimodal Prompts, Agentic Workflows, Embeddings, JSON, Tool Calling, Large Language Modeling, Agentic systems, Vector Databases, Unstructured Data, System Testing

    ★ 4.3 (12) · Advanced · Course · 1 - 3 Months

  • I

    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Application Programming Interface (API), Unit Testing, Cloud Applications, AI Integrations, Python Programming, Web Applications, Software Development Life Cycle, IBM Cloud, Web Development, Development Testing, Artificial Intelligence, Code Review, Integrated Development Environments, AI literacy, Server Side, Programming Principles

    ★ 4.4 (1.4K) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)

    ★ 4.7 (423) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Generative AI for Cybersecurity Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, AI literacy, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Exploitation techniques, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Large Language Modeling, Vulnerability Management, Incident Management

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, Software Design Documents, Software Design, AI literacy, AI Integrations, Software Architecture, Agentic Workflows, Continuous Integration, Software Development, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Security, Software Engineering, Code Review

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Generative Model Architectures, OpenAI, Data Storytelling, Analytics, Prompt Engineering Tools, AI literacy, Dashboard Creation, Data Analysis, Interactive Data Visualization, Data Ethics, Responsible AI, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Augmented and Virtual Reality (AR/VR), Data Processing

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

  • I

    Intel

    Intel® AI Fundamentals

    Skills you'll gain: AI Enablement, AI Product Strategy, Business Technologies, Complex Problem Solving, Competitive Intelligence, Artificial Intelligence, Digital Transformation, Artificial Intelligence and Machine Learning (AI/ML), Case Studies, AI literacy, AI Integrations, Technology Strategies, Emerging Technologies, Automation, Responsible AI, B2B Sales, Computer Hardware

    ★ 4.4 (809) · Beginner · Specialization · 1 - 4 Weeks

  • I

    IBM

    Generative AI for IT Systems Analysts and Architects

    Skills you'll gain: Prompt Engineering, Process Modeling, Prompt Patterns, Generative AI, Generative Model Architectures, Business Workflow Analysis, Systems Analysis, AI Workflows, AI literacy, Process Optimization, Miro AI, Systems Architecture, Solution Architecture, Software Architecture, Systems Thinking, Responsible AI, Machine Learning, Project Documentation, Stakeholder Communications, Technical Consulting

    ★ 4.7 (12K) · Beginner · Specialization · 1 - 3 Months

1234…406

In summary, here are 10 of our most popular ibm ai courses

  • Generative AI for Project Managers: IBM
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • IBM Machine Learning: IBM
  • Generative AI: Foundation Models and Platforms: IBM
  • RAG and Agentic AI Capstone Project: IBM
  • Developing AI Applications with Python and Flask: IBM
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • IBM Generative AI for Cybersecurity Professionals: IBM
  • Generative AI for Software Developers: IBM
  • Generative AI for Data Analysts: IBM

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