Explainable AI Courses
Artificial Intelligence (AI) courses can help you learn machine learning algorithms, natural language processing, computer vision, and neural networks. You can build skills in data analysis, model evaluation, and ethical considerations in AI applications. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI solutions and developing projects that harness the power of data-driven insights.
Popular Explainable AI Courses and Certifications
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning
Duke University
Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Machine Learning, Machine Learning Methods, Model Evaluation, Artificial Neural Networks, Information Privacy
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks
Google
Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking
Coursera
Skills you'll gain: Stakeholder Communications, Stakeholder Engagement, Data Storytelling, Stakeholder Management, Stakeholder Analysis, Data Presentation, Data-Driven Decision-Making, Business Communication, Model Evaluation, Responsible AI
Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Model Training, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Predictive Modeling, Spatial Data Analysis, Machine Learning, Data Preprocessing, Python Programming
What brings you to Coursera today?
University of Glasgow
Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning, Convolutional Neural Networks, Electocardiography, Artificial Neural Networks
IE Business School
Skills you'll gain: Critical Thinking, Critical Thinking and Problem Solving, Deductive Reasoning, Independent Thinking, AI literacy, Logical Reasoning, Analytical Skills, Generative AI, Empathy, Trend Analysis, Cognitive flexibility, Research, Lifelong Learning, Bayesian Statistics, Data Analysis, Decision Making
LearnQuest
Skills you'll gain: Agentic Workflows, Generative AI Agents, Agentic systems, AI Workflows, Responsible AI, Artificial Intelligence, LLM Application, AI Security, Technical Communication, Automation, AI Integrations, Risk Analysis, Feasibility Studies, Business Workflow Analysis, Process Mapping, Business Priorities, Governance, Performance Metric
Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation
Skills you'll gain: Adobe Express, Responsible AI, AI powered creativity, Generative AI, Data Ethics, AI literacy, Graphic Design, Image Quality, Prompt Engineering, Artificial Intelligence, AI Workflows, Creativity, AI Integrations, Verification And Validation
Board Infinity
Skills you'll gain: AI Orchestration, AI Workflows, Retrieval-Augmented Generation, Generative Model Architectures, LLM Application, Decision Intelligence, Solution Architecture, Generative AI, AI Product Strategy, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, Artificial Intelligence, Unstructured Data, Systems Architecture, Agentic systems, Software Architecture, Data Engineering, Feasibility Studies, Vector Databases
In summary, here are 10 of our most popular explainable ai courses
- Explainable AI (XAI):Â Duke University
- Developing Explainable AI (XAI):Â Duke University
- Explainable Machine Learning (XAI):Â Duke University
- Introduction to AI:Â Google
- Explain Black-Box Models:Â Coursera
- Explainable AI: Scene Classification and GradCam Visualization :Â Coursera
- Explainable deep learning models for healthcare - CDSS 3:Â University of Glasgow
- Beyond the Obvious: How to Think in the Age of Generative AI:Â IE Business School
- AI Agents 101: Foundations of AI Agents:Â LearnQuest
- Introduction to Artificial Intelligence (AI):Â IBM
