Introduction to Artificial Intelligence Course
4.4 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Introduction to Artificial Intelligence Course at Simplilearn Overview
Duration | 2 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Artificial Intelligence Course at Simplilearn Highlights
- Earn a certificate and avail a 90 Days of access to this free course by Simplilearn
- Complete this course and develop a potential to earn $171K as average salary
Introduction to Artificial Intelligence Course at Simplilearn Course details
- For Developers, Analytics Managers, Information Architects and Analytics Professionals
- Purpose of artificial intelligence technology
- Concepts of deep learning and machine learning workflow
- Supervised learning
- Semisupervised learning
- Unsupervised learning
- This artificial intelligence basics program is designed to offer an overview of AI concepts & workflows, along with the fundamentals of machine learning and deep learning. Learn AI along by working on specific use cases & learn the difference between supervised, unsupervised, & reinforcement learning. This free course on AI is an ideal kickstart for anyone looking to become an AI engineer. Machine Learning Engineer, Research Scientist, Business Intelligence Developer, Data Scientist and Big Data Engineer are main career options for any Artificial Intelligence professional.
Introduction to Artificial Intelligence Course at Simplilearn Curriculum
Lesson 00 - Course Introduction
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
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