Python
AI / ML
Statistics
Capstone Project
Introduction to Data Science
Traditional Systems vs. Machine Learning-based AI
Taxonomy of AI
Capabilities & Use Cases
AI & Data Science
Types of Machine Learning
Understanding ML Algorithms in an Intuitive Way
Introduction to Deep Learning
Ways to Implement AI
Demos on Sentiment Analysis of Tweets and Pictures
Q&A and Discussion
Lab setup & Hands on Python . Use a detiled ipynb notebook
Emphasizing the pivotal role of data science in the broader data
universe
Artificial Intelligence
Machine Learning
Business Intelligence
Chapter Quiz
Sampling and Probablity
Algebra
The only Calculus concept you need
Optimization and the combinatorial explosion
Bayes’ theorem
Hypotheisis Test Inroduction
Type I & Type- II error
Correlation
Excercise
Introduction to Neural Networks
Neurons and Layers
Activation Functions
Training a Neural Network
Types of Neural Networks
Real-world Applications
Hands-on Activities
Q&A
Secured Transaction
Capstone Project
Mock Interview
Resume Building
Referrals
Training by Our dedicated trainers, with an experience of 12+years in the same field.
Every session followed by self practice assignment and recorded videos accessible using mobile app and web.
Scenario based interview question and answers.
Mock interviews after completion of training.
Practice and doubts clarifications sessions after the training.
Guaranteed placement for students that are successful in their assigned training project.
Course Certificate for successful students from Academy of Data by Rekindle Technologies.
"With over 12 years of experience in information technology, I am a Lead Data Scientist at eClerx, a global provider of
business process management and analytics solutions. My mission is to leverage my skills and expertise
in data engineering, data science, and artificial intelligence
to build advance analytics solutions for customer operations."
