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.

Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions, Cloud Computing, Software Development
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsible AI, Containerization, Prompt Engineering, Scalability, Docker (Software), Application Deployment, Kubernetes, Azure Active Directory, Prompt Patterns, Generative AI Agents, LangChain, Microservices, Microsoft Azure, Microsoft Power Automate/Flow, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Distributed Computing, Serverless Computing, Natural Language Processing, Reinforcement Learning
Intermediate · Professional Certificate · 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, Data Ethics, GitHub, Software Development Tools, Software Configuration Management, Software Documentation, Application Lifecycle Management, Program Development, Integrated Development Environments, Maintainability, Computer Programming Tools, Artificial Intelligence, Project Management
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Regression Analysis, Large Language Modeling, No-Code Development, Predictive Modeling, Machine Learning Algorithms, Automation, Supervised Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Microsoft Copilot, Prompt Engineering, Microsoft 365, Microsoft Outlook, Productivity Software, Collaborative Software, Workflow Management, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Business Process Automation, Artificial Intelligence, Identity and Access Management, Data Security
Beginner · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Generative AI Agents, Microsoft Azure, Development Testing, Application Deployment, LLM Application, Multimodal Prompts, Artificial Intelligence, Test Case, Agentic systems, Application Programming Interface (API), Natural Language Processing, User Experience Design, Technical Documentation
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Storyboarding, User Research, Information Architecture, User Experience Design, Design Thinking, Prototyping, Usability Testing, User Experience, Persona (User Experience), Wireframing, User Interface and User Experience (UI/UX) Design, Interaction Design, Web Content Accessibility Guidelines, Human Centered Design, Figma (Design Software), Usability, User Interface (UI) Design, User Centered Design, Design, Artificial Intelligence
Beginner · Professional Certificate · 3 - 6 Months

Microsoft
Skills you'll gain: User Story, User Interface (UI), Usability, Design Thinking, User Interface (UI) Design, User Experience Design, Mockups, User Experience, Wireframing, Usability Testing, User Centered Design, Artificial Intelligence, Responsible AI, Prototyping, User Research
Beginner · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, Predictive Modeling, Artificial Intelligence, Responsible AI
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.‎