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AI Fundamentals Getting Started with Artificial Intelligence

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Certificate

Dedicated Tutors

24 Videos
15 Hours
100 Test Questions

Course Description

Artificial Intelligence (AI) is no longer just a buzzword—it’s shaping the future of industries, businesses, and everyday life. From smart assistants like Siri and Alexa to self-driving cars, fraud detection systems, and personalized recommendations on Netflix and Amazon—AI is everywhere.

This beginner-friendly course is designed to help you understand the foundations of AI, explore its real-world applications, and gain practical knowledge of the tools used in the industry. Whether you’re a student looking to build your skills, a working professional aiming to upskill, or a business leader who wants to leverage AI for growth, this course is the perfect starting point.

You’ll begin with the fundamentals of AI, including its history, evolution, and major branches like Machine Learning, Natural Language Processing (NLP), and Computer Vision. You’ll then move on to understand how AI is applied in different sectors such as healthcare, finance, retail, and cybersecurity.

Hands-on lessons will introduce you to AI tools and platforms like Google Colab, TensorFlow, and no-code AI solutions, ensuring that even non-programmers can follow along. The course also emphasizes the ethical implications of AI, preparing you to think critically about fairness, transparency, and responsible AI practices.

By the end of the course, you will:

  • Grasp the fundamentals of AI and its core concepts.
  • Discover how AI is transforming industries and creating new opportunities.
  • Get familiar with beginner-friendly AI tools and platforms.
  • Build confidence to pursue advanced AI certifications or specialized tracks like Machine Learning, Deep Learning, or Data Science.
  • Earn a recognized certificate from IT Tutor Pro that adds value to your resume.


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Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.

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Step-by-Step Courses List

Chapter One:

Module 1: Introduction to AI

1.1 What is AI? History & Evolution
1.2 Types of AI (Narrow AI, General AI, Super AI)
1.3 AI vs Machine Learning vs Deep Learning
1.4 Applications of AI in Real Life

Chapter Two:

Module 2: Core Concepts of AI

2.1 Machine Learning Basics
2.2 Supervised vs Unsupervised Learning
2.3 Neural Networks Explained
2.4 Introduction to Deep Learning
2.5 Real-World Case Studies

Chapter Three:

Module 3: Natural Language Processing

3.1 What is NLP?
3.2 Sentiment Analysis & Chatbots
3.3 Text Classification Basics
3.4 Hands-on Demo: Building a Simple NLP Model

Chapter Four:

Module 4: Computer Vision

4.1 Introduction to Image Recognition
4.2 Object Detection & Facial Recognition
4.3 Computer Vision in Healthcare & Security
4.4 Hands-on Demo: Image Classification

Chapter Five:

Module 5: AI Tools & Platforms

5.1 Popular AI Tools (Google Colab, TensorFlow, PyTorch)
5.2 No-Code AI Platforms
5.3 Cloud AI Services (AWS, Azure, GCP)

Chapter Six:

Module 6: Ethics, Careers & Future of AI

6.1 Ethical Challenges in AI
6.2 Bias & Fairness in AI Systems
6.3 AI & the Future of Work
6.4 Career Pathways in AI & Certifications

$100

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  • Access to new courses every quarter
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You Will Get Certification After Completion of This Course.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Step 1

Training & Practical Labs

Step 2

Professional Certification

Step 3

ATS-Optimized Resume

Step 4

Mock Interviews

Step 5

LinkedIn Optimization

Step 6

Job Placement Support

Reviews

Olivia Taylor
★ ★ ★ ★ ★
A solid foundation course for anyone new to AI concepts.
Emily Carter
★ ★ ★ ★ ★
A solid foundation course for anyone new to AI concepts.
Isabella Rossi
★ ★ ★ ★ ★
Loved how it made AI approachable and easy to grasp.
Arjun Desai
★ ★ ★ ★ ★
Loved how it made AI approachable and easy to grasp.
David Lee
★ ★ ★ ★ ★
Loved how it made AI approachable and easy to grasp.

Description

Artificial Intelligence (AI) is no longer just a buzzword—it’s shaping the future of industries, businesses, and everyday life. From smart assistants like Siri and Alexa to self-driving cars, fraud detection systems, and personalized recommendations on Netflix and Amazon—AI is everywhere.

This beginner-friendly course is designed to help you understand the foundations of AI, explore its real-world applications, and gain practical knowledge of the tools used in the industry. Whether you’re a student looking to build your skills, a working professional aiming to upskill, or a business leader who wants to leverage AI for growth, this course is the perfect starting point.

You’ll begin with the fundamentals of AI, including its history, evolution, and major branches like Machine Learning, Natural Language Processing (NLP), and Computer Vision. You’ll then move on to understand how AI is applied in different sectors such as healthcare, finance, retail, and cybersecurity.

Hands-on lessons will introduce you to AI tools and platforms like Google Colab, TensorFlow, and no-code AI solutions, ensuring that even non-programmers can follow along. The course also emphasizes the ethical implications of AI, preparing you to think critically about fairness, transparency, and responsible AI practices.

By the end of the course, you will:

  • Grasp the fundamentals of AI and its core concepts.
  • Discover how AI is transforming industries and creating new opportunities.
  • Get familiar with beginner-friendly AI tools and platforms.
  • Build confidence to pursue advanced AI certifications or specialized tracks like Machine Learning, Deep Learning, or Data Science.
  • Earn a recognized certificate from IT Tutor Pro that adds value to your resume.


Talk to a Career Coach!


Train & Earn with Guaranteed Career Coaching Success!

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