Artificial Intelligence courses are designed to provide knowledge in various topics in AI, including machine learning, deep learning, natural language processing, computer vision, robotics, and data analytics. Artificial Intelligence is a unique career path that can lead you to success. AI itself will need development, maintenance and sales. Artificial Intelligence courses are therefore going to be a lifesaver in the future.
What You Will Learn?
You will learn the following skills:
Preface to Computer Science
Programming with Python
Programming with C
Web Programming
Algorithms
Ajax
SQL
Scope
Following are the few fields students can look at after pursuing this program but work experience and job profile are a must:
Product ManagerÂ
AI Engineer
Big Data Engineer
Business Intelligence Developer
Data Scientist
Machine Learning Engineer
Research Scientist
AI Data Analyst
Module 1
Course Papers
Computer Science
Artificial Intelligence
Programming with Python
Course Syllabus
Preface to Computer Science
Preamble to Computer Science
Algorithms
Memory
Programming with Python
Web programming
Computer Science Introduction to Computer Science
Introduction to Digital Electronics
Basics of Computer Science
Environmental Sciences
Fundamental of LINUX
PHP Fundamentals
Introduction to Embedded System
Algorithms Basically used for Sorting
Linear hunt, Double hunt
Bubble sort, selection sort
Recursion,
Combine sort
Memory For storing data (dynamic memory allocation)
Hexadecimal
Pointers
Custom types
Dynamic memory allocation
Call heaps
Train pointers
Data Structures
Independently- linked lists, hash tables, tries
Programming with Python Python Basics
Using SQL with Python
Web programming Included JavaScript, DOM
Preamble to the Internet, IP, TCP, HTTP, HTML, CSS
JavaScript, DOM
Beaker web waiters and Ajax
Module 2
Course Papers (Opt any 1 Papers)
Artificial Intelligence with Python
Programming with C
Course Syllabus
Artificial Intelligence with Python Included Query, Knowledge representation, Languages
Search- chancing results to problems
Knowledge- representing information and drawing consequences from it
query- using probability to deal with uncertain events
Optimization- chancing the stylish way to break a problem
literacy- using data to ameliorate performance
Neural Networks- using brain- suchlike structures to perform tasks
