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.

★ 4.7 (23K) · Beginner · Course
Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking
★ 4.8 (14K) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI literacy, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks
★ 4.8 (53K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, IBM Cloud, ChatGPT, AI literacy, Retrieval-Augmented Generation, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Workflow Management, Machine Learning, No-Code Development, Artificial Intelligence, Natural Language Processing, Deep Learning, Customer Service, AI Integrations, Customer experience improvement, Data Science
★ 4.7 (37K) · Beginner · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Artificial Intelligence, Algorithms, Python Programming
★ 4.3 (44) · Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning
★ 4.6 (4.1K) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Artificial Intelligence, Generative AI, AI Orchestration, Cloud Deployment, Cloud Infrastructure, Cloud Computing, Deep Learning, Information Technology Operations, Machine Learning, Network Infrastructure, Data Centers
★ 4.6 (511) · Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Prompt Engineering, New Product Development, Sustainability Reporting, Model Based Systems Engineering, Model Evaluation, Generative AI, Agile Project Management, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Failure Analysis, Data Ethics, Goal Setting, Database Design, Data Visualization
Degree · 1 - 4 Years

Skills you'll gain: Artificial Intelligence, Jupyter, Healthcare Industry Knowledge, Model Training, Health Informatics, LLM Application, Machine Learning, Deep Learning, Statistical Machine Learning, AI Security, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Recurrent Neural Networks (RNNs), AI Integrations, Model Evaluation, Healthcare Ethics, Data-Driven Decision-Making, Data Processing, Data Analysis
★ 4.5 (11) · Intermediate · Specialization · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Agentic systems, Generative AI Agents, Agentic Workflows, AI Workflows, Tool Calling, Prompt Engineering, Software Documentation
★ 4.6 (487) · Beginner · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, ChatGPT, Agentic Workflows, Prompt Patterns, Generative AI Agents, Generative AI, AI Workflows, LLM Application, Agentic systems, Strategic Decision-Making, Business Intelligence, Business Leadership, Data-Driven Decision-Making, Automation, Organizational Leadership, Strategic Planning, Planning, Talent Acquisition, Procurement
★ 4.8 (11K) · Beginner · Specialization · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Key Performance Indicators (KPIs)
★ 4.5 (358) · Beginner · Course · 1 - 4 Weeks
High-quality free Artificial Intelligence courses you can start today.
Top-rated Artificial Intelligence courses offered by IBM on Coursera.
Earn a certificate in Artificial Intelligence from top universities and companies.
Top-rated beginner-friendly Artificial Intelligence courses with no prerequisites.
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.‎