Introduction to Artificial Intelligence for Beginners

Course Content

Introduction to Artificial Intelligence

• Lesson 00 - Course Introduction
  • Course Introduction
• Lesson 01 - Decoding Artificial Intelligence
  • 01 Decoding Artificial Intelligence
  • 02 Meaning, Scope, and Stages Of Artificial Intelligence
  • 03 Three Stages of Artificial Intelligence
  • 04 Applications of Artificial Intelligence
  • 05 Image Recognition
  • 06 Applications of Artificial Intelligence - Examples
  • 07 Effects of Artificial Intelligence on Society
  • 08 Supervises Learning for Telemedicine
  • 09 Solves Complex Social Problems
  • 10 Benefits Multiple Industries
  • 11 Key Takeaways
  • Knowledge Check
• Lesson 02 - Fundamentals of Machine Learning and Deep Learning
  • 01 Fundamentals Of Machine Learning and Deep Learning
  • 02 Meaning of Machine Learning
  • 03 Relationship between Machine Learning and Statistical Analysis
  • 04 Process of Machine Learning
  • 05 Types of Machine Learning
  • 06 Meaning of Unsupervised Learning
  • 07 Meaning of Semi-supervised Learning
  • 08 Algorithms of Machine Learning
  • 09 Regression
  • 10 Naive Bayes
  • 11 Naive Bayes Classification
  • 12 Machine Learning Algorithms
  • 13 Deep Learning
  • 14 Artificial Neural Network Definition
  • 15 Definition of Perceptron
  • 16 Online and Batch Learning
  • 17 Key Takeaways
  • Knowledge Check
• Lesson 03 - Machine Learning Workflow
  • 01 Learning Objective
  • 02 Machine Learning Workflow
  • 03 Get more data
  • 04 Ask a Sharp Question
  • 05 Add Data to the Table
  • 06 Check for Quality
  • 07 Transform Features
  • 08 Answer the Questions
  • 09 Use the Answer
  • 11 Key takeaways
  • Knowledge Check
• Lesson 04 - Performance Metrics
  • 01 Performance Metrics
  • 02 Need For Performance Metrics
  • 03 Key Methods Of Performance Metrics
  • 04 Confusion Matrix Example
  • 05 Terms Of Confusion Matrix
  • 06 Minimize False Cases
  • 07 Minimize False Positive Example
  • 08 Accuracy
  • 09 Precision
  • 10 Recall Or Sensitivity
  • 11 Specificity
  • 12 F1 Score
  • 13 Key takeaways
  • Knowledge Check

Who provides the certification and how long is it valid for?

Upon successful completion of the Introduction to AI for beginners course, NextTech will provide you with an industry-recognized course completion certificate which has lifelong validity.

How do I become an AI Engineer?

An Artificial Intelligence Engineer works with Machine Learning algorithms, neural networks, and other techniques in various types of business worldwide. They build, test, and deploy Artificial Intelligence models and are responsible for maintaining the Artificial Intelligence infrastructure. You can enroll for NextTech’s Artificial Intelligence Engineer Master’s program in collaboration with IBM which will give you an insight into Artificial Intelligence tools and methodologies. This program will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow to prepare you for success in your role as an Artificial Intelligence Engineer.

What do I need to do to unlock my certificate?

To obtain the Introduction to IoT course certification you must:

• Complete the online self-learning course
• Complete the course-end assessment with a minimum 80% score

FAQs

• What is Artificial Intelligence?

  Artificial Intelligence is a branch of computer science that involves the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns in that data using different AI techniques.

• How to learn Artificial Intelligence? Do I need to know any programming language?

  Artificial Intelligence is a broad field and one should have strong fundamentals to learn the concepts of AI. This AI for beginners course is one of the reliable resources to learn AI from scratch. Additionally, it is better to have a working knowledge of at least one programming language like Python, Java, or R.

• Why should you learn Artificial Intelligence?

  Artificial Intelligence is one of the disruptive technologies that has the potential to change the way businesses operate. Companies are harnessing the power of AI and self-driving cars, virtual assistants, facial recognition, personalized shopping are only the initial applications of AI. The demand for skilled AI engineers is soaring and so one should learn AI to become a part of this exciting domain.

• How do I enroll in this online training?

  You can enroll in this training on our website and make an online payment using any of the following option

  • Visa Credit or Debit Card
  • MasterCard
  • American Express
  • Diner’s Club
  • PayPal

  Once payment is received, you will automatically receive a payment receipt and access information via email.