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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


  • C

    Coursera

    ChatGPT for Beginners: Using AI for Market Research

    Skills you'll gain: ChatGPT, Market Research, Marketing, Prompt Engineering, Language Interpretation, Translation, and Studies, Generative AI, Content Marketing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Google Ads for Beginners

    Skills you'll gain: Google Ads, Keyword Research, Target Audience, Pay Per Click Advertising, Search Engine Marketing, Advertising Campaigns, Campaign Management, Online Advertising, Digital Advertising, Marketing, Digital Marketing, Return On Investment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    5.9K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Virginia

    Artificial Intelligence in Marketing

    Skills you'll gain: Marketing Strategies, Digital Transformation, AI Enablement, Marketing, Marketing Analytics, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Digital Marketing, Business Strategy, Case Studies, Competitive Analysis, Network Analysis, Customer experience improvement, Customer Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    350 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    ChatGPT: Master Free AI Tools to Supercharge Productivity

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, ChatGPT, Generative AI, LLM Application, Productivity, AI Personalization, AI Enablement, OpenAI, Artificial Intelligence, Large Language Modeling, Anthropic Claude, Expense Management, Productivity Software, Creativity, Verification And Validation, Communication, Planning, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Marketing Analytics Foundation

    Skills you'll gain: Data Collection, Marketing, Marketing Analytics, Google Analytics, Digital Marketing, Customer Data Management, Application Programming Interface (API), Market Data, Personally Identifiable Information, Web Analytics, Information Privacy, API Gateway, Data Integration, Data Analysis, Data-Driven Decision-Making, Advertising

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Digital Marketing

    Skills you'll gain: Data Storytelling, Marketing Analytics, Keyword Research, Email Marketing, Customer experience strategy (CX), Case Studies, Strategic Communication, Search Engine Marketing, Web Analytics, Marketing Communications, Digital Marketing, Analytics, Marketing Strategies, Digital Media Strategy, Campaign Management, AI Personalization, Marketing Management, Marketing, Data Analysis, Data Visualization

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

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    G

    Google

    Marketing digital e e-commerce do Google

    Skills you'll gain: Data Storytelling, Email Marketing, Google Ads, Digital Advertising, Paid media, Social Media Marketing, Search Engine Optimization, Google Analytics, Customer Retention, Digital Marketing, Marketing Budgets, Loyalty Programs, Order Fulfillment, Search Engine Marketing, Web Analytics, Marketing Analytics, Online Advertising, Email Automation, Marketing, E-Commerce

    4.9
    Rating, 4.9 out of 5 stars
    ·
    330 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    U

    Unilever

    Advanced Tools for Digital Marketing Analytics

    Skills you'll gain: Marketing Automation, Marketing Analytics, Digital Marketing, MarTech, Predictive Analytics, Advanced Analytics, Predictive Modeling, Analytics, Marketing, Marketing Strategies, Customer Analysis, Digital Advertising, Marketing Channel, Data Analysis, Natural Language Processing, Automation, Data Ethics, Business Ethics, Video Production, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    63 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Create your e-commerce store with Shopify

    Skills you'll gain: Order Processing, Order Management, Inventory Management System, Inventory Control, Customer Relationship Management, E-Commerce, Web Analytics, Retail Management, Product Management, Content Management Systems, Editing, Marketing, Business

    4.5
    Rating, 4.5 out of 5 stars
    ·
    588 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Building Custom Regional Reports with Google Analytics

    Skills you'll gain: Google Analytics, Ad Hoc Reporting, Marketing Analytics, Email Automation, Data-Driven Decision-Making, Web Analytics, Dashboard, Geospatial Information and Technology, Marketing, Data Analysis, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    274 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Crea y diseña productos digitales en Canva

    Skills you'll gain: Canva (Software), Design, Digital Design, Design Elements And Principles, Product Design, Graphic and Visual Design Software, Layout Design, Intellectual Property, Web Analytics, Graphic Design, Journals, Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    434 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    S

    SkillsBooster Academy

    Generative AI for SEO: Be the #1 Answer in AI Search

    Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Competitive Analysis, Data Ethics, ChatGPT, Search Engine Marketing, Content Creation, Content Performance Analysis, Artificial Intelligence, Digital Marketing, Content Marketing, Marketing, Business Strategy, Business Ethics, Marketing Strategy and Techniques, Market Research, Digital Media Strategy, Product Strategy, Marketing Materials

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · 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

  • ChatGPT for Beginners: Using AI for Market Research: Coursera
  • Google Ads for Beginners: Coursera
  • Artificial Intelligence in Marketing: University of Virginia
  • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University
  • Marketing Analytics Foundation: Meta
  • Digital Marketing: University of Illinois Urbana-Champaign
  • Marketing digital e e-commerce do Google: Google
  • Advanced Tools for Digital Marketing Analytics: Unilever
  • Create your e-commerce store with Shopify: Coursera
  • Building Custom Regional Reports with Google Analytics: 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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