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.

DeepLearning.AI
Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: AI Personalization, Fraud detection, Generative AI, Responsible AI, Data Ethics, Data Management, People Analytics, HR Tech, AI Product Strategy, Data Governance, Big Data, Machine Learning Algorithms, Governance, Business Strategy, Human Resources, Credit Risk, Business Transformation, Artificial Intelligence, Machine Learning, Analytics
Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Generative AI, Deep Learning, Responsible AI, Artificial Intelligence, Machine Learning, Unsupervised Learning, Artificial Neural Networks, AI Product Strategy, Regression Analysis, Business Ethics, Computer Vision, Governance
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence, Financial Forecasting, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Business Ethics, Digital Transformation, Data-Driven Decision-Making, Innovation, Content Creation
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Data Ethics, Responsible AI, Wealth Management, Supervised Learning, Machine Learning, Financial Services, Applied Machine Learning, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, FinTech, Data Mining, Regulatory Compliance, Financial Planning, Relationship Building, Risk Modeling, Legal Risk, Mobile Development, Human Computer Interaction
Intermediate · Specialization · 1 - 3 Months

University of Virginia
Skills you'll gain: AI Personalization, Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Digital Marketing, Business Strategy, Case Studies, Competitive Analysis, Network Analysis, Customer experience improvement, Customer Engagement
Beginner · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Workflow Management, Agentic systems, LLM Application, Productivity, OpenAI, Artificial Intelligence, AI Personalization, Business Process Automation, AI Product Strategy, Personalized Service, Large Language Modeling, Automation, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Expense Management
Beginner · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Investment Management, Wealth Management, Asset Management, Investments, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics
Beginner · Course · 1 - 4 Weeks

Lund University
Skills you'll gain: Organizational Strategy, Artificial Intelligence, Responsible AI, Strategic Thinking, Business Transformation, Business Risk Management, Business Intelligence, Business Ethics, Automation, Thought Leadership, Interviewing Skills, Human Machine Interfaces
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Google Ads, Keyword Research, Target Audience, Pay Per Click Advertising, Search Engine Marketing, Advertising Campaigns, Campaign Management, Online Advertising, Digital Advertising, Marketing, Digital Marketing, Return On Investment
Beginner · Guided Project · Less Than 2 Hours

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Workflow Management, LLM Application, Productivity, OpenAI, Agentic systems, Strategic Decision-Making, Business Intelligence, Business Leadership, Data-Driven Decision-Making, Organizational Leadership, Automation, Strategic Planning, Talent Acquisition, Procurement, Planning
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Responsible AI, Generative AI, Data Ethics, Artificial Intelligence, Governance, Business Leadership, Business Transformation, Data-Driven Decision-Making, Competitive Intelligence, Digital Transformation, Customer Service, Operational Efficiency
Beginner · Course · 1 - 4 Weeks
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.‎