Artificial intelligence courses can help you learn machine learning algorithms, natural language processing, computer vision, and neural networks. You can build skills in data analysis, predictive modeling, and automating tasks using AI techniques. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI solutions and developing applications that leverage these advanced technologies.

Saïd Business School, University of Oxford
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Responsible AI, OpenAI, Artificial Neural Networks, AI Security, Data Ethics, Governance, Artificial Intelligence, ChatGPT, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Compliance Management, AI Product Strategy, Business Ethics, Risk Management, Machine Learning, Project Management
Beginner · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Google Gemini, Project Management, LLM Application, AI Enablement, Project Management Life Cycle, Data Ethics, Case Studies, Real Time Data, Team Oriented, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Project Documentation, AI Workflows, AI Personalization, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Large Language Modeling, LLM Application, Productivity, Project Planning, OpenAI, AI Enablement, Generative AI, Risk Analysis, Timelines, Project Risk Management, Project Schedules, Project Management, Artificial Intelligence, Key Performance Indicators (KPIs), Smart Goals, Taking Meeting Minutes, Work Breakdown Structure
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Earned Value Management, Workflow Management, Business Process Automation, Change Management, Project Management, Project Controls, Performance Measurement, Automation, Predictive Modeling, AI Enablement, Strategic Communication, Data-Driven Decision-Making, Risk Analysis, Process Improvement and Optimization, Process Optimization, Analytics, Cloud-Based Integration, Generative AI, Systems Integration, Machine Learning
Advanced · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Generative AI, Microsoft Copilot, Prompt Engineering, Test Case, Responsible AI, Microsoft Visual Studio, Version Control, Code Review, GitHub, Integrated Development Environments, Software Configuration Management, Software Development Tools, Software Documentation, AI Workflows, AI Enablement, Program Development, Development Environment, Computer Programming Tools, Artificial Intelligence, Project Management
Intermediate · Specialization · 1 - 3 Months

Multiple educators
Skills you'll gain: Retrieval-Augmented Generation, AI Product Strategy, Independent Thinking, Productivity Software, Generative AI, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Business Communication, Emotional Intelligence, Productivity, Operational Efficiency, Administration, Business Operations, Planning, Project Planning, Business Planning, Project Management, Business Administration, Business
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Project Risk Management, Workflow Management, Business Workflow Analysis, Risk Management, Strategic Thinking, Team Leadership, Agile Project Management, Team Management, Leadership and Management, Collaborative Software, Project Management, Innovation, Agile Software Development, Process Improvement, Strategic Decision-Making, Change Management, Artificial Intelligence, Adaptability, Digital Transformation, Communication
Intermediate · Specialization · 1 - 3 Months

Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Agile Project Management, AI Enablement, Predictive Modeling, Agile Methodology, Innovation, Project Management Life Cycle, Project Management, Data-Driven Decision-Making, Automation, Artificial Intelligence, Digital Transformation, Risk Management, Change Management
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Responsible AI, Stakeholder Engagement, AI Enablement, Stakeholder Management, Team Performance Management, Project Management, Data Ethics, Workforce Management, Risk Mitigation, Project Management Life Cycle, Agile Methodology, Risk Analysis, Artificial Intelligence, Team Management, Team Building, Scalability, Budget Management
Intermediate · Course · 1 - 4 Weeks

Fred Hutchinson Cancer Center
Skills you'll gain: Responsible AI, AI Enablement, Technology Strategies, Artificial Intelligence, Business Ethics, Strategic Leadership, Artificial Intelligence and Machine Learning (AI/ML), Project Management, Legal Risk, Law, Regulation, and Compliance, Ethical Standards And Conduct, LLM Application, Decision Making, Generative AI, Needs Assessment, Mitigation
Beginner · Course · 1 - 3 Months
Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans. This technology is crucial because it has the potential to transform industries, enhance productivity, and improve decision-making processes. AI systems can analyze vast amounts of data quickly, identify patterns, and make predictions, which can lead to innovative solutions in various fields such as healthcare, finance, and education.‎
A variety of job opportunities exist in the field of artificial intelligence. Roles such as AI engineer, data scientist, machine learning engineer, and AI researcher are in high demand. Additionally, positions in AI ethics, data analysis, and AI project management are emerging as organizations increasingly integrate AI into their operations. These roles often require a blend of technical skills and domain knowledge, making them accessible to individuals from diverse backgrounds.‎
To pursue a career in artificial intelligence, you should focus on developing a strong foundation in programming languages such as Python and R, as well as understanding algorithms and data structures. Knowledge of machine learning, statistics, and data analysis is also essential. Familiarity with AI frameworks and tools, such as TensorFlow or PyTorch, can enhance your skill set. Additionally, soft skills like problem-solving, critical thinking, and effective communication are valuable in this field.‎
There are numerous online courses available for learning about artificial intelligence. Some notable options include the Artificial Intelligence: an Overview Specialization and the Artificial Intelligence with Python: Foundations to Projects Specialization. These courses cover fundamental concepts and practical applications, making them suitable for learners at various levels.‎
Yes. You can start learning artificial intelligence on Coursera for free in two ways:
If you want to keep learning, earn a certificate in artificial intelligence, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn artificial intelligence effectively, start by identifying your current skill level and goals. Begin with introductory courses to build foundational knowledge, then progress to more advanced topics. Engage in hands-on projects to apply what you've learned, and consider joining online communities or forums to connect with other learners. Consistent practice and exploration of real-world applications will reinforce your understanding and boost your confidence.‎
Typical topics covered in artificial intelligence courses include machine learning, natural language processing, computer vision, and robotics. Courses often explore the ethical implications of AI, data bias, and algorithm limitations. Additionally, learners may study specific applications of AI in various industries, such as finance, healthcare, and scientific research, providing a comprehensive understanding of the field.‎
For training and upskilling employees in artificial intelligence, courses like the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate are particularly beneficial. These programs are designed to equip professionals with the necessary skills to implement AI solutions effectively in their organizations, fostering a culture of innovation and adaptability in the workforce.‎