Basic Certificate Course in Artificial Intelligence (AI)

Why you should take Artificial Intelligence Course?

Today all are talking about the advancements in Artificial Intelligence/ Machine Learning and how it can introduce changes in the world, with the pace with which it is growing. But other than this basic level knowledge people are unaware of the actual potential and capabilities of Machine Learning and Artificial Intelligence Technologies.

The main objective of this course is to aware the candidates about Data Science, Machine Learning and Deep Learning Tools so that they can recommend and use them at their work place in real life. The course requires the student to hands-on of different AI/ML Tools and implement programming assignments related to all these topics. Also this course introduces the techniques and applications of Artificial Intelligence in different domains

Who should take Artificial Intelligence Course?

• Graduates from any Stream can attend this course.
• Interns, Apprentices Fresh-Recruits (Offered Employment), IT Professional, Non IT Professional working in IT industries, Ex-Employee and Faculties (Spoken) can attend this course.
• Any Entrepreneurs or they want to learn the AI/ML/DL Techniques or want to start their career in this field can join this Course.

Curriculum for AI Course

This 120 Hrs Duration Course is divided into 4 Modules, that combines the Theoretical, Practical Sessions and Assignments-

• Module 1: Data Science and Programming Tools:

  • This section will be starting with an overview of Python with its data types and language basics. Also this module will cover the Functions, Modules and Packages, Object Oriented Programming in Python. Later on Introduction to Database Management System, Database Interaction in Python, Structures and Unstructured data, Visualization of Data using Graphs, Pre-processing techniques will be covered in this section.

• Module 2: Machine Learning:

  • This section will be covering the Machine Learning with the concepts of Supervised, Unsupervised and Semi Supervised Learning, Classification, Regression, Clustering. Machine Learning Algorithm will be covered in it as KNN, SVM etc. Ensemble Methods and Learning are also included in it. Various Learning methods will be explained in this section..

• Module 3: Deep Learning and Natural Language Processing:

  • The concept of Deep Learning includes ANN, DNN. That further explores into CNN, RNN and Open CV. A description of Natural Language Processing Method is included in it that will explore text processing etc. NLP is a subfield of linguistics, computer science and Artificial Intelligence concerned with interaction between human and computer. So this section will be having its application to be explained in this course.

• Module 4:Project:

  • The participants will be doing an industry relevant project using real data.

Tools you will learn in AI Course

In the AI Course, you will be introduced to state-of-the-art frameworks that facilitate the development of sophisticated neural networks and advanced machine learning algorithms, equipping you with essential skills to tackle complex data-driven projects effectively. These tools are widely used in the industry and will empower you to craft intelligent solutions and unlock the potential of artificial intelligence.

A Participant will be able to learn tools used in AI/ML/DL Techniques. This includes the following software and tools in this course as: