Artificial Intellegence, Machine Learning and Deep Learning

₹25,000.00 + GST

Duration:

18 Weeks

Lectures:

60Hrs

Categories:

Combo Course

Mode:

Online

Course Feature

60+ hours of hands on Training
Case study Based Training
20+ Realtime Projects
20+ in-demand Algorithms training
Industry experts led Training
100% Industry Ready Training
Real-life industry-based projects in the domains of Retail, Healthcare, Telecom, Finance, Stock Market, Human Resource etc.
Interactive Learning with Jupyter notebook
Dedicated mentoring session from our faculty of industry experts
Kigyan Job Assistance

Overview

Learning Objectives

FAQ

Overview

Kigyan introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The program in consideration with current industry requirement for Machine Learning and Data Science job roles.

Upon completion of this Certificate Program, you will receive the certificates from Kigyan in the Artificial Intelligence courses on the learning path. These certificates will testify to your skills as an expert in Machine Learning.

This program is designed for the students or professionals who has a minimal or no knowledge of computer programming and want to build their career in the field of Machine Learning.

The program starts from introducing the Business analytics and refreshing your knowledge on mathematical and statistics concepts needed for Analytics and then data management using Microsoft Excel and SQL programming and also covering the basics of Database and data warehousing concepts, introduction to Big data management and basics of python programming.

This program will make you industry-ready with the business domain master data and business process training and to work on 20+ projects

Learning Objectives

The Certification program in Machine Learning course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning.

What Skills you will Learn

This training program will enable you to:

Understand Business Analytics, Data science, Machine learning
Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing.
Install the required Python environment and other auxiliary tools and libraries
Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
Perform data analysis and manipulation using data structures and tools provided in the Pandas package
Gain expertise in machine learning using the Scikit-Learn package
Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
Use the Scikit-Learn package for natural language processing
Use the matplotlib library of Python for data visualization
Extract useful data from websites by performing web scrapping using Python
Building machine learning models with 20+ industry demand algorithms

Frequently asked Questions

1. Who should attend this course?

There is a booming demand for skilled data scientists and artificial intelligence developers across all industries that make this course suited for participants at all levels of experience. We recommend this program particularly for the following professionals:

Analytics professionals who want to become an Machine Learning Expert
Software professionals looking to get into the field of Machine Learning
IT professionals interested in pursuing a career in analytics
Graduates looking to build a career in analytics, data science and Machine Learning
Experienced professionals who would like to harness data science in their fields
Anyone with a genuine interest in the field of Machine Learning

Prerequisites: There are no prerequisites for this program. But having knowledge on any one programming language or databases will be an added advantage

The Python basics course included with this program provides additional coding guidance.

2. What type of Jobs we can expect after this training?

Upon completion of this Program, you will have the skills required to help you land your dream job, including:

IT Professionals
Data Scientists
Data Engineers
Data Analysts
Artificial Intelligence Engineer
Machine Learning Engineer
Project Managers
Program Managers

3. What are the Pre-requisites for this Training?

There are no prerequisites for learning this course. However, knowledge of any one programming language and SQL will be beneficial

4. Who will provide the certification?

Upon successful completion of the Machine Learning certification training, you will be awarded the course completion certificate from Kigyan

5. What are my system requirements?

The tools you will need to attend training are:

Windows: Windows XP SP3 or higher
Mac: OSX 10.6 or higher
Intel i3 with minimum 8 GB RAM
Internet speed: Preferably 512 Kbps or higher for online training
Headset, speakers, and microphone: you will need headphones or speakers to hear instructions clearly, as well as a microphone to talk to others. You can use a headset with a built-in microphone, or separate speakers and microphone

6. What are the training modes offered for this course?

We offer this training in the following modes:

Live Classroom training in our Training Centre
Live Virtual Classroom or Online Classroom: Attend the course remotely from your desktop via video conferencing to increase productivity and reduce the time spent away from work or home

7. Any Group Discount offered in this classroom training?

Yes, we have group discount options for our training programs. Contact us using the form on the right of any page on the website or send am mail with your requirement and the student count to shailaja@kigyan.com. Our customer service representatives can provide more details.

8. What payment options are available?

Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.

Any Credit or Debit Card
Bank Transfer using NEFT / RTGS
Direct payment in our centre through cash / cheque
Online payment wallet like Google Pay, PayTM….

Curriculam

DataScience With Python

Mathematical Computing with NumPy

NumPy Overview
Basics of NumPy
NumPy fundamental objects
Create and Print a NumPy array
Basic operators in NumPy
Shape manipulation & copy methods
Linear algebraic function
Writing Programs using NumPy

Scientific Computation with SciPy

Introduction to SciPy
Characteristics of SciPy
Sub Packages of SciPy
- Optimization
- Integration
- Linear Algebra
- Statistics
- Weave
- IO

Data Manipulation with Pandas

Introduction to Pandas
Data Structures of Pandas
Creating Series and Data Frames
Accessing elements form data structures
Vectorised Operations
Handling Missing Values
Analysing Data
Pandas SQL operations

Machine Learning with Sciket Learn

Introduction to Machine Learning
The machine Learning approach
Introduction to Sciket learn
Technologies for understanding a dataset
Supervised learning models
Unsupervised Learning models
Algorithms
- Regression
- Classification
- Clustering
- Directionality reduction