Certified Artificial Intelligence Specialist

Edvancer Eduventures

Online

180 Hours

₹ 33995 82990

particular

details

                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study, Virtual Classroom

                                    Mode of Delivery
                                    Video and Text Based

                                    Frequency of Classes
                                    Weekends

Module 1: Predictive Analytics in R

Introduction to business analytics

What is analytics & why is it so important?
Applications of analytics
Different kinds of analytics
Various analytics tools
Analytics project methodology
Real world case study

R Training

Fundamentals of R
Data visualization in R
Data preparation and cleaning using R

Setting the base of business analytics

Understanding the data using univariate statistics in R
Hypothesis testing and ANOVA in R to guide decision making

Predictive modelling in R

Correlation and Linear regression
Logistic regression
Techniques of customer segmentation
Time series forecasting techniques
Decision trees & Random Forests
Boosting Machines
Cross Validation & Parameter Tuning

Module 2: Machine Learning in Python

Introduction to Machine Learning in Python

What is machine learning & why is it so important?
Applications of machine learning across industries
Machine Learning methodology
Machine Learning Toolbox
Tool of choice- Python: what & why?
Course Components

Python Training

Introduction to Python
Iterative Operations & Functions in Python
Data Summary; Numerical and Visual in Python
Data Handling in Python using NumPy & Pandas

Machine Learning in Python

Basics of Machine Learning
Generalised Linear Models in Python
Tree Models using Python
Boosting Algorithms using Python
Support Vector Machines (SVM) and KNN in Python
Unsupervised learning in Python
Neural Networks
Text Mining in Python
Ensemble Methods in Machine Learning
Bokeh
Version Control using Git and Interactive Data Products

Module 3: Deep Learning (Artificial Intelligence) Using Tensorflow and Keras

Introduction to AI and Deep Learning

What is AI?
How will AI change the world? • What is Deep Learning?
Uses of Deep Learning?
Examples of Deep Learning & AI

Tensorflow Training

Getting Started with Tensorflow
Deep Feed Forward & Convolutional Neural Networks

Introduction to Keras

Basics of Keras
Composing various models in Keras
Parameter tuning in Keras with previous examples

Recurrent Neural Networks, Long-Short Term Memory and Gated Recurrent Unit

Intro to RNN architecture
Modelling sequences
Limitations of RNNs
Introduction to LSTM and use cases with implementation (text data)
Introduction to GRU and implementation (text data)

Autoencoders, Generative Adverserial Networks, Hopfield networks

Autoencoders and dimensionality reduction • GANs and their implementation
Hopfield networks
Variational auto encoders
Word2Vec
Glove

Module 4: Data Visualization in Tableau (Videos Only)

Introduction to Business Intelligence & Visualization

What is Business Intelligence? • What is data visualization?
Need for Visualization
Uses of visualization

Tableau Training

Introduction to Tableau
Dive into Tableau
Connecting Data Sources
Tableau Generated Fields
Data Manipulation in Tableau
Working with Dates in Tableau
Data Customization with Calculations
Adding Dynamism to a View with Parameters
Geographical Analysis & Maps
Creating Visualizations
Adding statistics to data
Formatting & Annotation
Dashboards & Stories

Module 5: Data Analysis in SQL (Videos only)

Introduction To SQL

What is SQL?
Why SQL?
What are relational databases? • SQL command group
MS SQL Server installation
Exercises

SQL Training

SQL Data Types & Operators
Useful Operations in SQL
Aggregating Data in SQL
Writing Sub-Queries in SQL
Common function in SQL
Analytic Functions in SQL
Writing DML Statements
Writing DDL Statements
Using Constraints in SQL
SQL Joins
Views in SQL

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Certified Artificial Intelligence Specialist

Online

180 Hours

₹ 33995 82990

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The syllabus

Module 1: Predictive Analytics in R

Introduction to business analytics

R Training

Setting the base of business analytics

Predictive modelling in R

Module 2: Machine Learning in Python

Introduction to Machine Learning in Python

Python Training

Machine Learning in Python

Module 3: Deep Learning (Artificial Intelligence) Using Tensorflow and Keras

Introduction to AI and Deep Learning

Tensorflow Training

Introduction to Keras

Recurrent Neural Networks, Long-Short Term Memory and Gated Recurrent Unit

Autoencoders, Generative Adverserial Networks, Hopfield networks

Module 4: Data Visualization in Tableau (Videos Only)

Introduction to Business Intelligence & Visualization

Tableau Training

Module 5: Data Analysis in SQL (Videos only)

Introduction To SQL

SQL Training

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