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Results for "artificial intelligence"


  • I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Applied Machine Learning, Artificial Intelligence, AI literacy, Machine Learning, Data Science, AI Integrations, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking

    Coursera Plus

    Included with Coursera Plus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    AI For Business

    Skills you'll gain: AI Personalization, Machine Learning Methods, Fraud detection, Generative AI, Responsible AI, Data Ethics, Data Management, Data Strategy, People Analytics, HR Tech, Generative Model Architectures, AI Enablement, Human Resource Management, AI Product Strategy, Data Governance, Human Resources Management and Planning, Big Data, Credit Risk, Machine Learning, Analytics

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • V

    Vanderbilt University

    Agentic AI and AI Agents for Leaders

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, ChatGPT, Agentic systems, Agentic Workflows, Prompt Patterns, Generative AI Agents, AI Workflows, Generative AI, LLM Application, AI literacy, OpenAI, OpenAI API, Expense Management, Artificial Intelligence, AI Personalization, AI Enablement, Context Engineering, AI powered creativity, Large Language Modeling

    Coursera Plus

    Included with Coursera Plus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.8K reviews

    Beginner · Specialization · 1 - 3 Months

  • M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

    Coursera Plus

    Included with Coursera Plus

    4.5
    Rating, 4.5 out of 5 stars
    ·
    383 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, Retrieval-Augmented Generation, Agentic Workflows, LangChain, LangGraph, LLM Application, Prompt Patterns, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, AI Integrations, OpenAI API, Software Development

    Coursera Plus

    Included with Coursera Plus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    U

    University of Colorado Boulder

    Introduction to Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Artificial Neural Networks, Algorithms, Probability Distribution, Markov Model, Artificial Intelligence, Statistical Inference, Computational Logic, Data-Driven Decision-Making, Model Optimization, Statistical Machine Learning, Solution Design, Time Series Analysis and Forecasting, Technical Design, Performance Testing

    Coursera Plus

    Included with Coursera Plus

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 3 - 6 Months

  • V

    Vanderbilt University

    AI Agent Developer

    Skills you'll gain: Prompt Engineering, Agentic systems, ChatGPT, Prompt Patterns, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, AI Workflows, AI powered creativity, Responsible AI, Agentic Workflows, Data Visualization, OpenAI API, Document Management, LLM Application, Ideation, Verification And Validation, Generative AI, Data Presentation, Software Development

    Coursera Plus

    Included with Coursera Plus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Beginner · Specialization · 3 - 6 Months

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  • A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    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, Digital Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: AI skills
    AI skills
    I

    IBM

    IBM AI Product Manager

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Product Planning, Responsible AI, Commercialization, Generative Adversarial Networks (GANs), Artificial Intelligence, Product Strategy, Project Management Life Cycle, Product Design

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    39K reviews

    Beginner · Specialization · 1 - 3 Months

1234…395

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

  • Introduction to Artificial Intelligence (AI): IBM
  • AI For Everyone: DeepLearning.AI
  • Introduction to AI: Google
  • AI For Business: University of Pennsylvania
  • Agentic AI and AI Agents for Leaders: Vanderbilt University
  • Microsoft AI & ML Engineering: Microsoft
  • IBM RAG and Agentic AI: IBM
  • Introduction to Artificial Intelligence: University of Colorado Boulder
  • AI Agent Developer: Vanderbilt University
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services

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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