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  • Artificial Intelligence

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 Artificial Intelligence Courses and Certifications


  • Status: Free
    Free
    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, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    202 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    A

    Amazon Web Services

    AWS Generative AI Applications

    Skills you'll gain: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Product Strategy, Amazon Web Services, MLOps (Machine Learning Operations), Application Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Data Governance, Large Language Modeling, Commercialization, API Design, Cost Management, Solution Architecture, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    95 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    A

    Amazon Web Services

    AWS Artificial Intelligence Practitioner

    Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, Artificial Intelligence, Applied Machine Learning, Prompt Engineering, Large Language Modeling, Machine Learning, Data Governance, Cloud Security

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    A

    Amazon Web Services

    AWS Generative AI and AI Agents with Amazon Bedrock

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI Agents, Generative AI, LangChain, Large Language Modeling, LLM Application, Artificial Intelligence, AWS SageMaker, Amazon Web Services, AI Personalization, Automation, Application Programming Interface (API), Data Processing, Performance Testing, Data Integration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    57 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    AI Fundamentals and the Cloud

    Skills you'll gain: Responsible AI, Amazon Bedrock, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Large Language Modeling, Application Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    AWS Services for AI Solutions

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, Generative AI Agents, Generative AI, Amazon Web Services, Solution Architecture, Artificial Intelligence, Data Quality, Computer Vision, Scalability, Data Pipelines, Natural Language Processing, Personally Identifiable Information

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Reinforcement Learning, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Amazon Bedrock Customization, Optimization & Automation

    Skills you'll gain: Amazon Bedrock, LangChain, Generative AI, Artificial Intelligence, Prompt Engineering, AWS SageMaker, Large Language Modeling, Automation, Data Processing, Performance Testing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Bringing Ideas to Life Using AI

    Skills you'll gain: Generative AI, Generative AI Agents, Amazon Bedrock, AI Product Strategy, Responsible AI, Application Development, Amazon Web Services, Data Governance, Commercialization, API Design, Cost Management, Artificial Intelligence, Personally Identifiable Information, Innovation, Compliance Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Getting Started with AWS Generative AI for Developers

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, LLM Application, Artificial Intelligence, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free
    Free
    A

    Amazon Web Services

    Building AI Agents with Amazon Bedrock AgentCore

    Skills you'll gain: Amazon Bedrock, Generative AI Agents, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems

    Beginner · Course · 1 - 4 Weeks

Searches related to artificial intelligence

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

  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services
  • AWS Generative AI Applications: Amazon Web Services
  • AWS Artificial Intelligence Practitioner: Amazon Web Services
  • AWS Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
  • AI Fundamentals and the Cloud: Amazon Web Services
  • AWS Services for AI Solutions: Amazon Web Services
  • Generative AI with Large Language Models: DeepLearning.AI
  • Amazon Bedrock Customization, Optimization & Automation: Amazon Web Services
  • Bringing Ideas to Life Using AI: 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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