Internship On Artificial Intelligence With Python (6 weeks)- Bhubaneswar, Hyderabad

Course Content

COURSE CONTENT

1st week: 

Python Environment Concepts 

⇒  Jupyter Note Book – Spyder Overview 
⇒  JYNB Working Environment 
⇒  Structure of jpynb 
⇒  Saving/Loading Notebook 
⇒  Edit Cells /View Cells /Insert Cells 
⇒  Keyboard Shortcuts /Magic Commands 
⇒  Execute Cells /Kernel Cells /Widgets / Markdown

Core Python Programming 

⇒  Elementary Programming with simple examples 
⇒  Mathematical Functions, Strings, and Objects 
⇒  Loops with programming 
⇒  Functions & Class functions generation 
⇒  Import functions & generate user define import functions 

2nd week: 

Advanced Python Programming
⇒  Data structures [List, Tuple, Set, Frozen set, and Dictionary] 
⇒  Build in Functions & Lambda Functions 
⇒  Packages, Modules 
⇒  Math, OS, Random, Statistics, Sys, other Modules 
⇒  Create UDM (User Defined Modules) 

Data Analysis with Packages 

⇒  Numpy 
⇒  Scipy 
⇒  Pandas 
⇒  Seaborn 
⇒  Bokeh

3rd week: 

Overview of Artificial Intelligence

⇒  Introduction to types of Artificial Intelligence  

⇒  Introductions to   Reactive Machines 

⇒  Introductions to   Limited Memory
 
⇒  Introductions to   Theory of Mind 

⇒  Search Techniques.
   
⇒  Knowledge Representations 

⇒  Neural networks and Deep learning.
 
⇒  Natural language processing 

⇒  Fuzzy logic and its applications
 
⇒  Introductions to   AI with Python – Speech Recognition 

Types of Data Analysis
 
⇒  Descriptive Analyses 

⇒  Exploratory Data Analysis
  
⇒  Predictive Analysis 
 
⇒  Inferential Analysis

4 Weeks

Data Visualization with Matplotlib 

⇒  Working with Pyplot 
 
⇒  Lines, Bar, Pie, Scatter, Histogram, Box, Violin Plots  

Algorithms Implementation 

⇒  Introduction to Algorithm and how it is implement 

⇒  Algorithm_1 Linear regressions. 

⇒  Algorithm_2 logistic regressions. 

⇒  Algorithm_3   Decision tree. 

⇒  Algorithm_4   Support Vector Machine (SVM) 

⇒  Algorithm_5   Naive Bayes 

⇒  Algorithm_6   KNN algorithm. 

⇒  Algorithm_7   K-means 

⇒  Algorithm_8 Random forest algorithms.

Industry Based Project and Artificial Intelligence libraries in python 

⇒  My first project in AI  

⇒  Case study Industry Project and Implementation with analysis 

Admission Details

→ Total 50 Seats Per batch

→ Students need to pay the course fees and fill the registration form to enroll themself. 

→ Go to the enrolment section to register for the program. 

→ After completion of all the processes, students will receive an intimation from our team regarding their batch details. 

→ 10% OFF on course fees for 5 students enrolling together. Contact us for the Payment link.

Faq'S

FAQs:

→ Duration of class: Offline courses Upto 2:00 hours Daily after 6:00 PM IST.  

→ Best For: Working Professionals in IT Sector, Building a great profile for Higher Study

→ LOR- Yes students can apply for LOR

→ Students or Professional: Both can join

→ Discount: Group enrolment discount available for a group of students of 5 or more.

→ Special batch Commencement: For a group of 40 students from the same college we can arrange a special batch as per their convenience.  

→ Certificates: Participants will get a completion certificate from Gram Tarang (Partner of NSDC) & Skyy Rider

→ Project Certificate: Yes students will get a project certificate after the course