Mastering Python for AI Engineers
Mastering Python for AI Engineers builds exhaustive knowledge on Python Programming from installing python to working on complex tasks using Tensorflow & Keras. Great course to convert every non-programmer into a great programmer
Co-Developed by AI Engineers
4Lac - 48Lac
Mode of Learning
Industry Specific Projects
10+ Real Life Projects while learning
Live projects going to be provided based on your current experience & industry.
Get eligibility to collect internship certificate for 4Months
2 Hackathon's on Coding
Connect with Trainer's 24x7 help
Online based hackathon's to improve learners skill towards programming on industry specific challenges.
We believe in connecting our trainers with students via whatsapp, linkedin and instagram.
3+ Live Projects Demonstration
Starting from Business Case, Data Understanding, Data Cleaning based on Architecture designed.
No Cost EMI
No need to worry about payment, we got you No cost EMI option. Start now!
Data Scientist | Consultant | Podcaster | Youtuber | Mentor
Mr. Kanth is a Data Scientist and Six Sigma Certified. He is a Data Science Consultant for various Top-MNC's like Nokia, EY, Cognizant, BMW etc. He delivered end-to-end AI Solutions using Machine Learning and Deep Learning on Embedded Devices. Built various AI Solutions which impacted financial gains and human effort reduction.
Mr. Kanth is an Orator & Mentor delivered AI, Machine Learning, Deep Learning, IOT, Industry 4.0 & Digital Twin Customised Training Programs across Dubai, Malaysia, Singapore, South Africa, Sudan etc. He delivered more than 100+ trainings on both sides like client side and vendor side.
Best in industry career transition based syllabus builded by Senior Data Scientist's which helps learners to build knowledge from zero level to real time working confidence on Data Science Projects.
Why Python & Introduction to Life cycle of a AI Engineer.
1. Introduction to Data Science Terminologies like Data Science, Machine Learning, Deep Learning, AI & Data Mining
Advanced Statistics & Data Understanding
Introduction to Statistics
What is Statistical Analysis
Purpose of Statistical Analysis
What is the Definition of Data & Different sources of Data
Descriptive Analytics vs Predictive Analytics vs Prescriptive Analytics
Measures of Central Tendency, Sample and Population
Measures of Dispersion
Different Measurement Scales
Sources of Data
Random Variable and Types of Random Variable
Skewness and Kurtosis
- Database Basics
Designing your Database
Creating Databases and Tables
Querying Table Data
Modifying Table Data
Getting Started with Python Programming
- Installation of Anaconda and Setting up Google Colabs
Basics of Python Programming
Introduction to Data Structures
Values, Variables, Functions and Librarys
Various libraries in python and purpose of each library
Data Structures, User-Defined, Loops, e.t.c.
1. Deep Dive into Data Structures like list, tuple, set, dict, Series, Data Frame, Array
Deep Dive into Pandas, Numpy, Seaborn, Plotly & Matplotlib Libraries
1. Introduction to Pandas Commands
2. Practice on 10Mins to Pandas & Numpy Commands
3. Data Visualization Commands and Data Visualization Theory
4. Data Visualization using seaborn, plotly & matplotlib libraries
5. Practice on above commands.
Real Life Projects using Python Programming
1. Project Demo: Data Understanding with Assignment Allocation
Tensorflow & Keras
1. Introduction to Tensorflow 2.0