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Artificial Intelligence Courses

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.


Popular AI Courses and Certifications


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    Saïd Business School, University of Oxford

    AI Foundations for Business Professionals

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Responsible AI, OpenAI, Artificial Neural Networks, AI Security, Data Ethics, Governance, Artificial Intelligence, ChatGPT, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Compliance Management, AI Product Strategy, Business Ethics, Risk Management, Machine Learning, Project Management

    4.8
    Rating, 4.8 out of 5 stars
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    234 reviews

    Beginner · Specialization · 3 - 6 Months

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    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    1K reviews

    Beginner · Specialization · 3 - 6 Months

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    IBM

    Generative AI for Project Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Google Gemini, Project Management, LLM Application, AI Enablement, Project Management Life Cycle, Data Ethics, Case Studies, Real Time Data, Team Oriented, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Project Documentation, AI Workflows, AI Personalization, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Vanderbilt University

    ChatGPT for Project Management - Leveraging AI for Success

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Large Language Modeling, LLM Application, Productivity, Project Planning, OpenAI, AI Enablement, Generative AI, Risk Analysis, Timelines, Project Risk Management, Performance Metric, Project Schedules, Project Management, Artificial Intelligence, Key Performance Indicators (KPIs), Smart Goals, Taking Meeting Minutes

    4.8
    Rating, 4.8 out of 5 stars
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    7.7K reviews

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Advanced Project Operations & Automation

    Skills you'll gain: Earned Value Management, Workflow Management, Business Process Automation, Change Management, Project Management, Project Controls, Performance Measurement, Automation, Predictive Modeling, AI Enablement, Strategic Communication, Data-Driven Decision-Making, Risk Analysis, Process Improvement and Optimization, Process Optimization, Analytics, Cloud-Based Integration, Generative AI, Systems Integration, Machine Learning

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Microsoft

    Generative AI for Software Developers

    Skills you'll gain: Generative AI, Microsoft Copilot, Prompt Engineering, Test Case, Responsible AI, Microsoft Visual Studio, Version Control, Code Review, GitHub, Integrated Development Environments, Software Configuration Management, Software Development Tools, Software Documentation, AI Workflows, AI Enablement, Program Development, Development Environment, Computer Programming Tools, Artificial Intelligence, Project Management

    4.3
    Rating, 4.3 out of 5 stars
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    171 reviews

    Intermediate · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
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    A

    Multiple educators

    Real-World AI for Everyone

    Skills you'll gain: Retrieval-Augmented Generation, AI Product Strategy, Independent Thinking, Productivity Software, Generative AI, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Business Communication, Emotional Intelligence, Productivity, Operational Efficiency, Administration, Business Operations, Planning, Project Planning, Business Planning, Project Management, Business Administration, Business

    4.8
    Rating, 4.8 out of 5 stars
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    9 reviews

    Beginner · Specialization · 1 - 3 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: New
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    Coursera

    Modern Project Leadership: Agile, AI, and Beyond

    Skills you'll gain: Project Risk Management, Workflow Management, Business Workflow Analysis, Risk Management, Strategic Thinking, Team Leadership, Agile Project Management, Team Management, Leadership and Management, Collaborative Software, Project Management, Innovation, Agile Software Development, Process Improvement, Strategic Decision-Making, Change Management, Artificial Intelligence, Adaptability, Digital Transformation, Communication

    4.6
    Rating, 4.6 out of 5 stars
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    485 reviews

    Intermediate · Specialization · 1 - 3 Months

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    U
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    117K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    C

    Coursera

    AI for Project Managers and Scrum Masters

    Skills you'll gain: Agile Project Management, AI Enablement, Predictive Modeling, Agile Methodology, Innovation, Project Management Life Cycle, Project Management, Data-Driven Decision-Making, Automation, Artificial Intelligence, Digital Transformation, Risk Management, Change Management

    4.2
    Rating, 4.2 out of 5 stars
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    139 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    J

    Johns Hopkins University

    Managing AI Projects: From Strategy to Delivery

    Skills you'll gain: Responsible AI, Stakeholder Engagement, AI Enablement, Stakeholder Management, Team Performance Management, Project Management, Data Ethics, Workforce Management, Risk Mitigation, Project Management Life Cycle, Agile Methodology, Risk Analysis, Artificial Intelligence, Team Management, Team Building, Scalability, Budget Management

    4.6
    Rating, 4.6 out of 5 stars
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    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fred Hutchinson Cancer Center

    AI for Decision Makers

    Skills you'll gain: Responsible AI, AI Enablement, Technology Strategies, Artificial Intelligence, Business Ethics, Strategic Leadership, Artificial Intelligence and Machine Learning (AI/ML), Project Management, Legal Risk, Law, Regulation, and Compliance, Ethical Standards And Conduct, LLM Application, Decision Making, Generative AI, Needs Assessment, Mitigation

    4.7
    Rating, 4.7 out of 5 stars
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    20 reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

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In summary, here are 10 of our most popular artificial intelligence courses

  • AI Foundations for Business Professionals: Saïd Business School, University of Oxford
  • AI Product Management: Duke University
  • Generative AI for Project Managers: IBM
  • ChatGPT for Project Management - Leveraging AI for Success: Vanderbilt University
  • Advanced Project Operations & Automation: Coursera
  • Generative AI for Software Developers: Microsoft
  • Real-World AI for Everyone: Advancing Women in Tech
  • Modern Project Leadership: Agile, AI, and Beyond: Coursera
  • Data Science Foundations: IBM
  • AI for Project Managers and Scrum Masters: Coursera

Frequently Asked Questions about Artificial Intelligence

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:

  1. Preview the first module of many artificial intelligence courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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