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Beginner Artificial Intelligence Courses

Artificial intelligence (AI) courses can help you learn machine learning algorithms, natural language processing, and computer vision techniques. You can build skills in data analysis, model evaluation, and ethical considerations in AI applications. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI projects and analyzing data effectively.


Popular Beginner Artificial Intelligence Courses and Certifications


  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Artificial Intelligence: an Overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, AI Enablement, Artificial Intelligence, General Data Protection Regulation (GDPR), Personally Identifiable Information, AI Security, Dimensionality Reduction, Legal Technology, Taxonomy, Cloud Platforms, Social Impact, Social Studies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    800 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    S

    Scrum Alliance

    Get Started with AI Prompt Engineering

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, AI Workflows, AI Enablement, AI Product Strategy, Scaled Agile Framework, Artificial Intelligence, Agile Methodology, Generative AI, Kanban Principles

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build AI Apps Like a Pro: No-Code Tools for Beginners

    Skills you'll gain: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, Performance Tuning, LLM Application, Data Wrangling, Version Control, Business Process Automation, API Testing, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, Data Integration, Scalability

    Intermediate · Specialization · 3 - 6 Months

  • 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, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free
    Free
    A

    Amazon Web Services

    AWS AI Practitioner Power Hour

    Skills you'll gain: Amazon Bedrock, Responsible AI, Generative AI, AI Security, Artificial Intelligence, Large Language Modeling, Amazon Web Services, Embeddings, Retrieval-Augmented Generation, Image Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI Python for Beginners

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, AI Enablement, Application Development, Scripting, Programming Principles, Automation, Application Programming Interface (API), Debugging, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    220 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Artificial Intelligence with Python: Foundations to Projects

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to Generative AI: A Beginner's Primer on Core Concepts

    Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

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

    Advancing Women in Tech

    AI Fundamentals with Claude

    Skills you'll gain: Independent Thinking, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    Alex Genadinik

    2026 AI And ChatGPT At Work: Productive AI Use For Beginners

    Skills you'll gain: Prompt Engineering, ChatGPT, AI Enablement, Presentations, Generative AI, AI Personalization, AI Workflows, Multimedia, OpenAI, Artificial Intelligence, Productivity Software, Content Creation, Brainstorming, Proofreading

    Mixed · Course · 1 - 3 Months

1234…360

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

  • Artificial Intelligence: an Overview: Politecnico di Milano
  • Introduction to Artificial Intelligence (AI): IBM
  • Get Started with AI Prompt Engineering: Scrum Alliance
  • Build AI Apps Like a Pro: No-Code Tools for Beginners: Coursera
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Machine Learning for Absolute Beginners - Level 1: Packt
  • AWS AI Practitioner Power Hour: Amazon Web Services
  • AI Python for Beginners: DeepLearning.AI
  • Artificial Intelligence with Python: Foundations to Projects: EDUCBA
  • Intro to Generative AI: A Beginner's Primer on Core Concepts: Google Cloud

Frequently Asked Questions about Beginner Artificial Intelligence

Beginner artificial intelligence (AI) refers to the foundational concepts and skills necessary to understand and work with AI technologies. This area of study is crucial as AI continues to transform various industries, enhancing efficiency and decision-making processes. By grasping the basics of AI, individuals can better navigate the evolving job market and leverage AI tools in their professional lives.‎

With a background in beginner artificial intelligence, you can explore various job opportunities. Roles such as AI technician, data analyst, machine learning assistant, and AI project coordinator are accessible to those starting in this field. These positions often require a blend of technical skills and an understanding of AI principles, making them ideal for individuals looking to enter the tech industry.‎

To start a journey in beginner artificial intelligence, you should focus on developing several key skills. These include basic programming knowledge, particularly in languages like Python, an understanding of data analysis, and familiarity with machine learning concepts. Additionally, cultivating problem-solving abilities and critical thinking will enhance your capacity to apply AI solutions effectively.‎

Some of the best beginner artificial intelligence courses online include the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate and the Artificial Intelligence: an Overview Specialization. These programs provide a structured approach to learning AI fundamentals, making them suitable for newcomers.‎

Yes. You can start learning beginner artificial intelligence on Coursera for free in two ways:

  1. Preview the first module of many beginner 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 beginner artificial intelligence, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn beginner artificial intelligence, start by enrolling in introductory courses that cover the basics of AI and machine learning. Engage with practical exercises and projects to apply what you learn. Additionally, consider joining online forums or study groups to connect with others on the same journey, as collaboration can enhance your understanding and motivation.‎

Typical topics covered in beginner artificial intelligence courses include the fundamentals of AI, machine learning algorithms, data preprocessing, and ethical considerations in AI. You may also explore practical applications of AI in various fields, providing a well-rounded understanding of how AI can be utilized in real-world scenarios.‎

For training and upskilling employees or the workforce in beginner artificial intelligence, courses like the Artificial Intelligence with Python: Foundations to Projects Specialization are highly beneficial. These programs are designed to equip learners with essential AI skills that can be directly applied in their roles, fostering a more knowledgeable and capable 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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