Artificial Intelligence Courses Syllabus - 2024

What is Artificial Intelligence?

Artificial intelligence is a branch of computer science that deals with building machines capable of performing complex tasks without human intervention. It combines data science with real-life data to leverage machines and computers to imitate the decision-making and problem-solving capabilities that the human mind has.

To learn more, check out the artificial intelligence certification course.

Authors Stuart Russell and Peter Norvig, in their groundbreaking book, Artificial Intelligence: A Modern Approach, discussed and explored four different approaches that historically defined the field of Artificial Intelligence.

1. Thinking humanly
2. Thinking rationally
3. Acting humanly
4. Acting rationally

Artificial Intelligence Courses

Artificial Intelligence is one of the fastest-growing fields in the Computer Science industry. Every student nowadays wants to enhance their artificial intelligence skills, as it has shown to be highly beneficial in improving their placement prospects.

Here are some Artificial Intelligence courses that you can pursue.

Other than these courses mentioned above, many BTech and MTech courses offered in Computer Science also combine many Artificial Intelligence related subjects in their curriculum.

Read this blog by Intellipaat to learn more about What is Artificial Intelligence and reasons to study it.

Now that you have seen what the different courses in Artificial Intelligence are, let’s learn about the common subjects in the Artificial Intelligence Course Syllabus for these courses.

Topics and Subjects in Artificial Intelligence Course Syllabus

The Artificial Intelligence courses that we discussed are offered in various streams, countries and institutes. The exact syllabus will always differ, based on the course you’re pursuing and the college or university you’re studying in, but each one of these courses focuses on the same common subjects.

These subjects are designed in a way that they give an overview of  Artificial Intelligence. Some of these and topics are-

• Introduction to Python
• Machine Learning Concepts
• Supervised Learning
• Unsupervised Learning
• Applied Statistics
• Natural Language Processing
• Face Detection
• Sentiment Analyzer
• Reinforcement Learning
• Object Detection
• TensorFlow and Neural Network
• Motion Analysis and Object Tracking

All these subjects are usually included in every artificial intelligence course syllabus, be it any level of education from any university or country.

Most of these courses also include mandatory internships and live projects, during the course. These help the students to learn and understand better and get a better grasp of the subjects being taught.

Check out our free Artificial Intelligence Course on our YouTube Channel and start learning today!

Artificial Intelligence Course Syllabus: Certification

To understand the A.I Course Syllabus for Specialization Certifications, let’s look at the syllabus of the Advanced Certification in Data Science and AI by IIT Madras offered by Intellipaat.

• Module 1 – Preparatory Sessions – Python & Linux
• Module 2 – GIT
• Module 3 – Python with Data Science
• Module 4 – Advanced Statistics
• Module 5 – Machine Learning & Prediction Algorithms
• Module 6 – Data Science at Scale with PySpark
• Module 7 – AI & Deep Learning using TensorFlow
• Module 8 – Deploying Machine Learning Models on Cloud (MLOps)
• Module 9 – Data Visualization with Tableau
• Module 10 – Data Science Capstone Project
• Module 11 – Data Analysis with MS Excel
• Module 12 – Data Wrangling with SQL
• Module 13 – Natural Language Processing and its Applications

The cost of such trainings and certifications can vary, depending on the course, the offering body, and the quality of the training and the experience of the faculty.

Next, let’s discuss the undergraduate courses.

Learn about the artificial intelligence techniques.

Machine Learning Course Syllabus: Undergraduate

UG Certification in Machine Learning Course Syllabus

After looking at the course syllabi of some UG certifications in machine learning, we could conclude that the machine learning course syllabus for any UG certification usually follows the same pattern. Let’s understand that.

• Foundation
  • Python for AI & ML
  • Applied Statistics
• Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Ensemble Techniques
  • Featurization, Model Selection & Tuning
  • Recommendation Systems
• Artificial Intelligence
  • Introduction to Neural Networks and Deep Learning
  • Computer Vision
  • Natural Language Processing
• Additional Modules
  • EDA
  • Time Series Forecasting
  • Pre Work for Deep Learning
  • Model Deployment
  • Visualization using a Tensor board
  • GANs (Generative Adversarial Networks)
  • Reinforcement Learning

These courses are usually offered in online mode by many reputed colleges, universities and organizations, including highly prestigious IITs like IIT Madras.

Bachelor’s Degree in Artificial Intelligence Course Syllabus

You can pursue a Bachelor’s degree in either a 6-semester-long course like Computer Science, or an 8-semester-long course in Engineering or Technology, with specialization in Artificial Intelligence.

Check out this in-depth artificial intelligence tutorial by Intellipaat.

If you’re pursuing an 8-semester-long course, you might study some additional subjects like Human Computer Interaction, Pattern Recognition and Augmented Reality.

Artificial Intelligence Course Syllabus: Post-Graduate

Course Syllabus for PG Certification in Artificial Intelligence

Let’s look at the syllabus of the PG Certification in Artificial Intelligence offered by Intellipaat, to understand the Artificial Intelligence Course Syllabus for PG Certifications.

• Module 1 – Preparatory Classes on Python for AI & ML and Linux
• Module 2 – Git and GitHub
• Module 3 – Python with Data Science
• Module 4 – Data Wrangling with SQL
• Module 5 – Story Telling
• Module 6 – Machine Learning Models for Selection and Tuning
• Module 7 – Machine Learning & Prediction Algorithms
• Module 8 – Advanced Machine Learning
• Module 9 – Software Engineering for Data Science
• Module 10 – Data Science at Scale with PySpark
• Module 11 – Artificial Intelligence and Deep Learning with TensorFlow
• Module 12 – Natural Language Processing
• Module 13 – Image Processing and Computer Vision
• Module 14 – Deployment of Machine Learning Systems to Production
• Module 15 – Work with Large Datasets
• Module 16 – Data Visualization with Tableau
• Module 17 – Capstone Project
• Module 18 – Data Science with R

Enroll in this PG Certification in Artificial Intelligence and Machine Learning offered by Intellipaat, in collaboration with MNIT, Jaipur.

Watch this video by Intellipaat to learn more about building a career in AI engineer career path.

Program Content for Master’s Certification in Artificial Intelligence

To understand the syllabus for Master’s Certifications in Artificial Intelligence, let’s go through the curriculum of Intellipaat’s Masters in Artificial Intelligence Course.

• Data Science with R
• Python
• Machine Learning
• Artificial Intelligence & Deep Learning with TensorFlow
• Natural Language Processing
• Advanced Deep Learning and Computer Vision
• AWS Big Data
• SAS
• Advanced Excel
• Tableau Desktop 10

Enrol in this Masters in Artificial Intelligence Course offered by Intellipaat, in collaboration with, one of the world’s leading tech giants, IBM.

Subjects to be Explored in Master’s Degree in Artificial Intelligence

After completing your graduation, you are eligible to pursue a 2-year-long Master’s program in Artificial Intelligence. We analyzed the A.I Course Syllabus for Master’s Programs in various reputed universities and colleges around the world and concluded that the students usually have to study the following core and elective subjects.

• Core Subjects
  • Ethics, Privacy, AI in Society
  • Introduction to Machine Learning
  • Introduction to Symbolic Artificial Intelligence
  • M.Sc Software Engineering Practice and Group Project
  • Python Programming
  • Individual Project
• Elective Subjects
  • Advanced Databases
  • Advanced Robotics
  • Advanced Security in Smartphone and IoT Systems
  • Complexity
  • Computational Finance
  • Computer Vision
  • Databases
  • Deep Learning
  • Knowledge Representation
  • Logic-Based Learning
  • Machine Arguing
  • Machine Learning for Imaging
  • Maths for Machine Learning
  • Modal Logic
  • Network and Web Security
  • Operations Research
  • Optimisation
  • Performance Engineering
  • Principles of Distributed Ledgers
  • Privacy Engineering
  • Probabilistic Inference
  • Probabilistic Programming
  • Prolog
  • Quantum Computing
  • Reinforcement Learning
  • Robotics
  • Scalable Systems for the Cloud
  • Separation Logic: Local Reasoning about Programs
  • Systems Verification

In the above section, we have seen what are the subjects in artificial intelligence that are really important in the AI domain. Now let us go through the best book recommendations for Artificial Intelligence Course Syllabus.

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Book recommendations for Artificial Intelligence Course Syllabus

Bachelor’s Degree

Given below is a list of books that may be useful to the students pursuing a Bachelor’s Degree in Artificial Intelligence.

Master’s Degree

The following books will be useful if you’re pursuing a Master’s Degree in  Artificial Intelligence.

Now that we’ve discussed various Artificial Intelligence Courses at different levels, as well as the syllabi that they cover, hopefully, you’re more familiar with the field of Artificial Intelligence and might be interested to pursue it.

If you have any questions or concerns, post them in our A.I Community!