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How to Learn AI Online: Best Options for Beginners

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By Fatima Mansoor

how to learn ai

Welcome to the world of Artificial Intelligence (AI)! For beginners eager to embark on an AI learning journey from the comfort of their screens, a vast ocean of online options awaits.

Whether you’re a tech enthusiast or simply curious about the future, learning AI is the passport to a world of endless opportunities.

From creating intelligent applications that revolutionize industries to understanding the ethical implications of AI’s ever-expanding influence, there’s something for everyone.

AI has been gaining tremendous attention due to its efficient and transformative nature. With over 300 AI platforms and tools, developers (and enthusiasts) can create groundbreaking applications and solutions.

In this guide, we’ll explore the top platforms that can help you learn AI, catering specifically to novices and providing an enriching and budget-friendly experience.

Let’s start with the basics first.

Disclosure: Some of the links in this article are affiliate links, meaning at no additional cost for you, we might get a commission if you click the link and purchase.


What is Artificial Intelligence (AI)?

AI, short for Artificial Intelligence, is an evolving field of computer science that focuses on the creation of intelligent machines capable of performing tasks that typically require human intelligence.

At its core, AI aims to develop algorithms and models that enable machines to learn from data, reason, understand natural language, recognize patterns, and make decisions with increasing accuracy over time.

The goal of AI is to replicate human cognitive abilities, such as problem-solving, learning, and decision-making, while also exploring beyond human capabilities, opening up new frontiers of innovation. It’s like teaching computers to think and learn.

AI helps us solve problems and make decisions better using data and patterns. From voice assistants to self-driving cars, AI is making our lives easier and more exciting!


How Does AI Work?

AI uses data and algorithms (sets of instructions) to analyze information and learn from it. Computers process lots of data quickly and find patterns, just like how we recognize patterns in things we see every day.

1. Data Collection: AI systems need data to learn and make decisions. Relevant data are collected from various sources, like the internet, sensors, or user interactions.

2. Data Preprocessing: Before feeding the data to AI algorithms, it’s cleaned, organized, and prepared. This step ensures that the data is in a suitable format for analysis.

3. Algorithms and Machine Learning:

AI algorithms are sets of instructions that help the computer process and understand the data.

Machine Learning (ML) is a subset of AI. It enables machines to learn from data and improve their performance without being explicitly programmed.

  • Supervised Learning: Algorithms are trained on labeled data, where the correct answers are provided. The system learns to make predictions based on patterns in the data.
  • Unsupervised Learning: Algorithms analyze unlabeled data to find patterns and structures without any predefined output. It discovers hidden insights and relationships within the data.
  • Reinforcement Learning: Algorithms learn from trial and error by interacting with an environment. They receive feedback on their actions, helping them improve their decision-making over time.
  • Training the AI Model: During training, the AI system processes the prepared data using the chosen algorithm. It continuously adjusts its internal parameters to find the best patterns and relationships in the data.
  • Testing and Evaluation: After training, the AI model is tested with new data to see how well it performs. This evaluation helps measure its accuracy and effectiveness in making predictions or decisions.
  • Deployment and Inference: Once the AI model is trained and tested, it can be deployed to perform real-world tasks. It takes in new data, processes it, and produces useful outputs or actions.

Some AI systems use rules and logic programmed by humans to make decisions, while others use statistical techniques to handle uncertainty.

In short, AI works by processing large amounts of data through algorithms and machine learning techniques. It learns from the data to recognize patterns, make predictions, or perform specific tasks. This continuous learning and decision-making process enable AI to become increasingly smarter and more efficient over time.


Why Learn Artificial Intelligence (AI)?

According to LinkedIn statistics, there has been a remarkable surge in job postings related to AI. Industries are embracing AI at an unprecedented pace, and many traditional roles are transitioning towards AI-driven solutions.

It’s high time to take AI seriously or risk being defeated by its potential. As AI rapidly becomes an integral part of various industries, those who embrace its power will lead the way in innovation and progress. Ignoring AI’s transformative force might leave you lagging in the competitive landscape.

Indeed, AI is not harmful if you understand and leverage it to upskill yourself. Embracing AI empowers you to navigate its advancements responsibly and make a positive impact.

The following reasons highlight why you should embrace AI today:

  • Impressive Versatility: AI skills can be applied in diverse domains, from healthcare to finance, opening doors to exciting opportunities.
  • Problem-Solving Prowess: Master AI to solve complex challenges and make informed decisions through data-driven insights.
  • Boost Your Resume: AI proficiency stands out on your resume, attracting attention from top companies.
  • Future-Proof Your Career: In an AI-driven world, your expertise becomes indispensable, ensuring long-term career security.
  • Shape the World: Be part of the future as AI reshapes industries and society.
  • AI Skill Gap: According to the World Economic Forum, AI skills will be in demand across various sectors, but the skills gap could leave as many as 85 million jobs unfilled by 2025.


Online Courses Offer the Best Way to Learn Artificial Intelligence (AI)

Are you eager to step into the fascinating world of Artificial Intelligence (AI), but worried about the risk of losing your current job? The fear is real, and that’s where online courses come to the rescue!

Embrace the future of AI learning with confidence, as online courses provide the perfect solution to upskill yourself without jeopardizing your current position.

All hail to online courses! Flexibility is at your fingertips as you set the learning schedule, fitting AI lessons seamlessly into your work and personal life. No need to rush – grasp complex AI concepts at your own pace and build a solid foundation.

Enhance your employability and stay ahead in a technology-driven job market by upskilling in AI. Stay up-to-date with cutting-edge content, the latest insights, tools, and hands-on projects offered in online AI courses. Benefit from expert guidance by learning from seasoned AI professionals, and gaining valuable mentorship from the comfort of your home.

Let’s dive straight into the treasure of AI courses now!


DataCamp: The Best eLearning Platform for Understanding AI Tools

Learn R, Python & Data Science Online | DataCamp Learn R, Python & Data Science Online | DataCamp

With Datacamp, you can learn the data skills you need at your own pace from anywhere in the world. From Python to machine learning to data science and a whole lot more, Datacamp offers hands-on virtual learning experiences from the world's best instructors.

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DataCamp offers a world-class tech curriculum, empowering professionals to upskill and stay ahead in the data-driven world.

With an impressive average course rating of 4.5 from learners, DataCamp’s interactive and active learning approach allows learners to watch short, expert-led videos and immediately practice new skills with interactive, in-browser exercises.

Explore a vast library of data and AI courses, all designed to meet diverse learning needs. Precise skill assessments pinpoint strengths and gaps, ensuring tailored training for continuous improvement.

With practical training projects, learners gain the confidence to solve real-world problems using their new skills.

For those starting their journey, Data and AI Literacy courses build a strong foundation, while Data and AI Upskilling empower professionals to stay ahead in a rapidly evolving landscape.

With certification programs validating expertise and upskilling options for entire teams, DataCamp’s products cater to diverse requirements.

Key features like active learning, LMS/SSO Integration, custom learning tracks, and skill assessment enhance the learning experience.

Some of our favorite AI courses on DataCamp include:

1. Introduction to ChatGPT

This course offers a captivating journey into the realm of ChatGPT – OpenAI’s remarkable conversational language model that’s capturing global attention. Explore its capabilities and unleash the power of AI at your fingertips responsibly, with no prior knowledge required.

Learn best practices for writing prompts to generate high-quality and relevant content. Discover how ChatGPT translates into business value, with use cases like text summarization and drafting marketing content.

By course completion, gain confidence in using ChatGPT for various tasks, boosting your efficiency and proficiency. Embark on this transformative experience and embrace the future of AI-driven conversations!

Click here to learn more about this course.


2. Implementing AI Solutions in Business

Enroll in this course if you seek to unlock the immense business potential of AI! “Implementing AI Solutions in Business” on DataCamp unveils how AI can elevate productivity, automate processes, and create personalized customer experiences.

Learn to build an AI Proof of Concept (POC) from scratch, ensuring compliance with regulations and data privacy. Master the art of transforming POCs into full-fledged solutions and effectively communicate AI’s value to stakeholders.

Embrace the power of AI and propel your business forward with innovative solutions in this transformative course!

Click here to learn more about this course.


3. Artificial Intelligence (AI) Concepts in Python

Have you ever wondered about the reality behind AI’s buzzwords like Machine Learning, Deep Learning, and Predictive Analytics? In this course, you will uncover the truth about how machines learn and explore the endless possibilities AI brings.

From recognizing written digits to predicting customer churn and finding structure in Elon Musk’s tweets, you’ll ride on a practical journey through the realm of AI. Delve into the distinction between “general” and “narrow” AI, and grasp the relationship between AI and Machine Learning.

Get ready to unlock the power of AI and embrace its potential for transformative applications.

You can learn more about this course at this link.


Click here to explore everything DataCamp has to offer!


Don’t Miss Datacamp’s Data and AI Literacy Month

This September, join Datacamp for a month-long series of events, podcasts, articles, and more—all centered around driving data and AI literacy for individuals and organizations.

Connect with industry experts from world-class organizations.

Why Data & AI Literacy Month?

The democratization of data led to the rise of data literacy. Now, artificial intelligence is ushering in the age of AI literacy—the ability to effectively and responsibly utilize, understand, and guide AI systems.

Click here to learn more!


A Final Word on How to Learn AI

For beginners looking to embark on their AI learning journey, online platforms offer a wealth of options.

Among them, DataCamp stands out as the top choice due to its detailed and targeted courses. With DataCamp, learners gain access to a rich library of AI courses designed to cater specifically to novices.

Learn AI online to stay ahead of the game! Embrace the transformative potential of artificial intelligence and become friends with AI. Remember to conduct thorough research to discover an AI course that aligns with your interests and career goals.

Have any additional questions about how to learn AI? Let us know by leaving a comment below.

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