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: Restful API, Flask (Web Framework), Application Deployment, Web Applications, Python Programming, AI Enablement, Server Side, Artificial Intelligence, Code Review, Debugging, Integrated Development Environments, Programming Principles, Unit Testing
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Agentic systems, Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Liberal Arts
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Computer Vision, Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

IBM
Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, LangChain, ChatGPT, Responsive Web Design, Restful API, LLM Application, Computer Vision, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Autoencoders, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Deep Learning, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

IBM
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Threat Modeling, Network Security, Threat Management, Vulnerability Management, Intrusion Detection and Prevention, Hardening, Computer Security Incident Management, Security Management, Cyber Threat Intelligence, Cyber Attacks, Incident Response, Cybersecurity, Network Protocols, Threat Detection, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Intermediate · Specialization · 3 - 6 Months

LearnQuest
Skills you'll gain: AI Workflows, Technical Communication, AI Enablement, Model Deployment, Generative AI Agents, Data Integration, AI Orchestration, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Responsible AI, Artificial Intelligence, Cloud Computing, Deep Learning, Data Visualization, Python Programming, Machine Learning, Data Engineering, Anomaly Detection, Statistical Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), API Testing, Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Python Programming, Computer Programming, Cloud Hosting
Build toward a degree
Beginner · Professional Certificate · 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.‎