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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 in Financial Services: Foundations through future trends

    Skills you'll gain: FinTech, Financial Inclusion, Financial Services, Responsible AI, Data Ethics, Artificial Intelligence, Mobile Banking, Banking Services, Data Sharing, Financial Regulation, Data Governance, Application Programming Interface (API), Financial Data, Banking, Finance, Artificial Intelligence and Machine Learning (AI/ML), Business Ethics, Innovation, General Data Protection Regulation (GDPR), Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    72 reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University of Maryland, College Park

    AI Applications in Accounting and Finance

    Skills you'll gain: Unstructured Data, Financial Data, Financial Statement Analysis, Image Analysis, Finance, Financial Analysis, Accounting, Emerging Technologies, Artificial Intelligence, Text Mining, Annual Reports, Machine Learning, Trend Analysis, Data-Driven Decision-Making, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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    University of Pennsylvania

    Accounting Analytics

    Skills you'll gain: Financial Statement Analysis, Financial Analysis, Financial Data, Financial Accounting, Process Optimization, Analytics, Corporate Strategy, Accounting, Financial Forecasting, Business Metrics, Operational Analysis, Advanced Analytics, Predictive Analytics, Fraud detection, Key Performance Indicators (KPIs), Return On Investment, Finance, Predictive Modeling, Anomaly Detection

    4.5
    Rating, 4.5 out of 5 stars
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    3K reviews

    Mixed · Course · 1 - 4 Weeks

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    Saïd Business School, University of Oxford

    Open Data and Intelligent Finance

    Skills you'll gain: Financial Inclusion, Responsible AI, Data Ethics, Data Governance, FinTech, Financial Data, AI Personalization, Mobile Banking, Data Sharing, Financial Regulation, Payment Systems, Financial Services, Open Source Technology, Finance, Business Ethics, Human Centered Design, Interoperability, Real Time Data, Product Design, Application Programming Interface (API)

    4.8
    Rating, 4.8 out of 5 stars
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    23 reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    AI for Business Ethics & Financial Strategy Mastery

    Skills you'll gain: Data Ethics, Financial Modeling, Responsible AI, AI Security, Financial Forecasting, Financial Statements, Depreciation, Business Ethics, Balance Sheet, Capital Budgeting, Artificial Intelligence, Strategic Decision-Making, Data Management, Information Privacy, Financial Analysis, Excel Formulas, Ethical Standards And Conduct, Finance, Business Strategy, Business

    Beginner · Specialization · 3 - 6 Months

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    AI CERTs

    AI in Finance Agent

    Skills you'll gain: Responsible AI, Agentic Workflows, Risking, Generative AI Agents, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Power BI, AI Workflows, Accounting and Finance Software, Regulatory Compliance, Automation, Financial Data, Wealth Management, Compliance Management, Generative AI, Financial Forecasting, Data Processing, Finance, Workflow Management, General Finance

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Financial Automation with Generative AI

    Skills you'll gain: Responsible AI, Data Ethics, Data Governance, Workflow Management, No-Code Development, Financial Data, Accounting and Finance Software, Artificial Intelligence, Financial Management, Generative AI, Automation, Financial Forecasting, Financial Regulation, Finance, Financial Reporting, Data Management, Financial Analysis, Accounting, Strategic Decision-Making, Securities (Finance)

    Advanced · Course · 1 - 4 Weeks

  • Next level skills. New Year savings.

    Save on Coursera Plus
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    Edureka

    Modern Financial Operations(FinOps) with Generative AI

    Skills you'll gain: Accounts Payable and Receivable, Accounting and Finance Software, Financial Data, Make.com, Financial Forecasting, Financial Management, Credit Risk, Generative AI, Financial Controls, Financial Analysis, Finance, Billing & Invoicing, Financial Auditing, Artificial Intelligence, ChatGPT, Accounting, Tax Compliance, Tax Management, Automation, No-Code Development

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Advanced SAS Programming, Macros & Reporting

    Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Data Analysis, Model Evaluation, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance

    Beginner · Specialization · 3 - 6 Months

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    University of Illinois Urbana-Champaign

    Money and Happiness

    Skills you'll gain: Relationship Building, Self-Awareness, Personal Development, Finance, Financial Planning, Emotional Intelligence, Behavioral Economics, Economics, Goal Setting, Decision Making

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    M

    Macquarie University

    Habilidades de Excel Aplicadas a Negocios: Nivel Avanzado

    Skills you'll gain: Dashboard, Spreadsheet Software, Data Cleansing, Excel Formulas, Data Visualization, Microsoft Excel, Business Intelligence, Data Analysis Expressions (DAX), Business Mathematics, Data Validation, Financial Data, Depreciation, Finance, Financial Analysis, Data Management

    4.5
    Rating, 4.5 out of 5 stars
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    28 reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    GenAI in Action: From Theory to Real-World Impact

    Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence, Finance, Emerging Technologies, Healthcare 5.0, Case Studies, Analysis, Manufacturing Operations, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

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

  • AI in Financial Services: Foundations through future trends: Saïd Business School, University of Oxford
  • AI Applications in Accounting and Finance: University of Maryland, College Park
  • Accounting Analytics: University of Pennsylvania
  • Open Data and Intelligent Finance: Saïd Business School, University of Oxford
  • AI for Business Ethics & Financial Strategy Mastery: EDUCBA
  • AI in Finance Agent: AI CERTs
  • Financial Automation with Generative AI: Edureka
  • Modern Financial Operations(FinOps) with Generative AI: Edureka
  • Advanced SAS Programming, Macros & Reporting: EDUCBA
  • Money and Happiness: University of Illinois Urbana-Champaign

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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