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.

Politecnico di Milano
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Dimensionality Reduction, Cloud Platforms, Deep Learning, Hardware Architecture, Law, Regulation, and Compliance, Regulation and Legal Compliance, Information Privacy, Information Technology, Social Studies, Artificial Neural Networks
Beginner · Specialization · 3 - 6 Months

Politecnico di Milano
Skills you'll gain: Artificial Intelligence, Cloud Platforms, Deep Learning, Hardware Architecture, Information Technology, Internet Of Things, Cloud Computing, Embedded Systems, Emerging Technologies, Data Centers
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Skills you'll gain: Generative AI, Responsible AI, Ethical Standards And Conduct, Healthcare Ethics, Workforce Planning, Information Privacy, Information Technology, Robotic Process Automation, Large Language Modeling, Energy and Utilities
Beginner · Course · 1 - 3 Months

Skills you'll gain: Remote Access Systems, Desktop Support, Technical Support, Telecommuting, Information Technology, Collaborative Software, Issue Tracking, Information Privacy, Data Security, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Cybersecurity, Cyber Security Strategy, Data Security, Cyber Threat Intelligence, Computer Security Awareness Training, Zero Trust Network Access, Information Systems Security, Security Awareness, Security Engineering, Threat Detection, Human Factors (Security), Cultural Sensitivity, Security Controls, Incident Response, Proactivity, Fraud detection, Information Technology
Beginner · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Machine Learning Algorithms, Data Governance, Health Systems, Health Informatics, Artificial Intelligence, Analytics, Digital Transformation, Healthcare Industry Knowledge, Healthcare Ethics, Artificial Intelligence and Machine Learning (AI/ML), Human Factors (Security), Generative AI Agents, Machine Learning, Health Technology, Health Information Management, Information Technology, Information Systems
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: MITRE ATT&CK Framework, Cyber Threat Hunting, Incident Response, Cyber Threat Intelligence, Threat Modeling, Threat Detection, Endpoint Detection and Response, Computer Security Incident Management, Microsoft Windows, Exploitation techniques, Data Loss Prevention, Cyber Security Strategy, Event Monitoring, Cyber Attacks, Cybersecurity, Cyber Security Policies, Network Security, Anomaly Detection, Cyber Risk, Information Technology
Beginner · Course · 3 - 6 Months

Skills you'll gain: Cyber Security Assessment, Endpoint Security, IT Security Architecture, Information Technology, Data Security, Network Security, Cloud Security, Information Privacy, Firewall, Cybersecurity, Linux, System Configuration, Security Controls, Cyber Threat Intelligence, Cyber Security Strategy, Microsoft Windows, Identity and Access Management, Risk Management Framework, Encryption, Good Clinical Practices (GCP)
Beginner · Course · 3 - 6 Months

Skills you'll gain: IT Service Management, Governance Risk Management and Compliance, Information Technology Infrastructure Library, Data Ethics, NIST 800-53, Information Technology, Regulatory Compliance, Auditing, Cybersecurity, Compliance Management, ISO/IEC 27001, Control Objectives for Information and Related Technology (COBIT), Security Controls, Artificial Intelligence, Open Web Application Security Project (OWASP), Risk Management, Payment Card Industry (PCI) Data Security Standards, General Data Protection Regulation (GDPR)
Intermediate · Course · 1 - 3 Months

University of Glasgow
Skills you'll gain: Wireless Networks, Emerging Technologies, Digital Communications, Blockchain, Internet Of Things, Generative AI, Communication Systems, Network Security, Telecommunications, Network Performance Management, Network Planning And Design, Zero Trust Network Access, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Network Analysis, Information Technology, Electronics Engineering, Machine Learning, Trustworthiness
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Stakeholder Management, IT Management, Project Management, Project Coordination, Information Technology, Project Risk Management, Agile Project Management, Project Implementation, Project Management Life Cycle, Relationship Management, Agile Methodology, Project Planning, Communication
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Ethics, Healthcare Ethics, Responsible AI, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Medical Privacy, Information Privacy, Machine Learning, Media and Communications, Automation, Cultural Diversity, Personally Identifiable Information, Workplace inclusivity, Law, Regulation, and Compliance, Emerging Technologies
Build toward a degree
Beginner · Specialization · 3 - 6 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.‎