Masters in Artificial Intelligence

Item: Masters in Artificial Intelligence
Author: Amit

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Understand the fundamentals of artificial intelligence. Learn how to create powerful AI solutions.

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Masters in Artificial Intelligence Curriculum

Course Module

Introduction To Python

Installation and Working with Python
Understanding Python variables
Python basic Operators
Understanding the Python blocks.

Python Keyword and Identiers

Python Comments, Multiline Comments.
Python Indentation
Understating the concepts of Operators
Arithmetic
Relational
Logical
Assignment
Membership
Identity

Introduction To Variables

Variables, expression condition and function
Global and Local Variables in Python
Packing and Unpacking Arguments
Type Casting in Python
Byte objects vs. string in Python
Variable Scope

Python Data Type

Declaring and using Numeric data types
Using string data type and string operations
Understanding Non-numeric data types
Understanding the concept of Casting and Boolean.
Strings
List
Tuples
Dictionary
Sets

Control Structure & Flow

Statements ? if, else, elif
How to use nested IF and Else in Python
Loops
Loops and Control Statements.
Jumping Statements ? Break, Continue, pass
Looping techniques in Python
How to use Range function in Loop
Programs for printing Patterns in Python
How to use if and else with Loop
Use of Switch Function in Loop
Elegant way of Python Iteration
Generator in Python
How to use nested Loop in Python
Use If and Else in for and While Loop
Examples of Looping with Break and Continue Statement
How to use IN or NOT IN keyword in Python Loop.

List

What is List.
List Creation
List Length
List Append
List Insert
List Remove
List Append & Extend using ?+? and Keyword
List Delete
List related Keyword in Python
List Reverse
List Sorting
List having Multiple Reference
String Split to create a List
List Indexing
List Slicing
List count and Looping
List Comprehension and Nested Comprehension

Tuple

What is Tuple
Tuple Creation
Accessing Elements in Tuple
Changing a Tuple
Tuple Deletion
Tuple Count
Tuple Index
Tuple Membership
TupleBuilt in Function (Length, Sort)

Dictionary

Dict Creation
Dict Access (Accessing Dict Values)
Dict Get Method
Dict Add or Modify Elements
Dict Copy
Dict From Keys.
Dict Items
Dict Keys (Updating, Removing and Iterating)
Dict Values
Dict Comprehension
Default Dictionaries
Ordered Dictionaries
Looping Dictionaries
Dict useful methods (Pop, Pop Item, Str , Update etc.)

Sets

What is Set
Set Creation
Add element to a Set
Remove elements from a Set
PythonSet Operations
Frozen Sets

Strings

What is Set
Set Creation
Add element to a Set
Remove elements from a Set
PythonSet Operations

Python Function, Modules and Packages

Python Syntax
Function Call
Return Statement
Arguments in a function ? Required, Default, Positional, Variable-length
Write an Empty Function in Python ?pass statement.
Lamda/ Anonymous Function
*args and **kwargs
Help function in Python
Scope and Life Time of Variable in Python Function
Nested Loop in Python Function
Recursive Function and Its Advantage and Disadvantage
Organizing python codes using functions
Organizing python projects into modules
Importing own module as well as external modules
Understanding Packages
Random functions in python
Programming using functions, modules & external packages
Map, Filter and Reduce function with Lambda Function
More example of Python Function

Decorator, Generator and Iterator

Creation and working of decorator
Idea and practical example of generator, use of generator
Concept and working of Iterator

Python Exception Handling

Python Errors and Built-in-Exceptions
Exception handing Try, Except and Finally
Catching Exceptions in Python
Catching Specic Exception in Python
Raising Exception
Try and Finally

Python File Handling

Opening a File
Python File Modes
Closing File
Writing to a File
Reading from a File
Renaming and Deleting Files in Python
Python Directory and File Management
List Directories and Files
Making New Directory
Changing Directory

Memory management using python

Threading, Multi-threading
Memory management concept of python
working of Multi tasking system
Different os function with thread

Python Database Interaction

SQL Database connection using
Creating and searching tables
Reading and Storing cong information on database
Programming using database connections

Reading an excel

Working With Excel
Reading an excel le using Python
Writing to an excel sheet using Python
Python| Reading an excel le
Python | Writing an excel le
Adjusting Rows and Column using Python
ArithmeticOperation in Excel le.
Play with Workbook, Sheets and Cells in Excel using Python
Creating and Removing Sheets
Formatting the Excel File Data
More example of Python Function

Complete Understanding of OS Module of Python

Check Dirs. (exist or not)
How to split path and extension
How to get user prole detail
Get the path of Desktop, Documents, Downloads etc.
Handle the File System Organization using OS
How to get any les and folder?s details using OS

Data Analysis and Visualization using Pandas.

Statistics
- Categorical Data
- Numerical Data
- Mean
- Median
- Mode
- Outliers
- Range
- Interquartile range
- Correlation
- Standard Deviation
- Variance
- Box plot
Pandas
- Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les
- How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function
- Using the Excel File class to read multiple sheets More Mapping, Filling Nonvalue?s
- Exploring the Data Plotting, Correlations, and Histograms
- Getting statistical information about the data Analysis Concepts, Handle the None Values
- Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc
- Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows
- Applying formulas on the columns Basic Grouping, Concepts of Aggre gate Function
- Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)
- Under sting the Properties of Pivot Table in Pandas Advanced Reading CSVs/HTML, Binning, Categorical Data
- Exporting the results to Excel Joins
- Python | Pandas Data Frame Inner Join
- Under sting the properties of Data Frame Left Join (Left Outer Join)
- Indexing and Selecting Data with Pandas Right Join (Right Outer Join)
- Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)
- Pandas | Find Missing Data and Fill and Drop NA Appending Data Frame and Data
- Pandas | How to Group Data How to apply Lambda / Function on Data Frame
- Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)

Data Analysis and Visualization using NumPy and MatPlotLib

NumPy
- Introduction to NumPy Numerical Python
- Importing NumPy and Its Properties
- NumPy Arrays
- Creating an Array from a CSV
- Operations an Array from a CSV
- Operations with NumPy Arrays
- Two-Dimensional Array
- Selecting Elements from 1-D Array
- Selecting Elements from 2-D Array
- Logical Operation with Arrays
- Indexing NumPy elements using conditionals
- NumPy?s Mean and Axis
- NumPy?s Mode, Median and Sum Function
- NumPy?s Sort Function and More
MatPlotLib
- Bar Chart using Python MatPlotLib
- Column Chart using Python MatPlotLib
- Pie Chart using Python MatPlotLib
- Area Chart using Python MatPlotLib
- Scatter Plot Chart using Python MatPlotLib
- Play with Charts Properties Using MatPlotLib
- Export the Chart as Image
- Understanding plt. subplots () notation
- Legend Alignment of Chart using MatPlotLib
- Create Charts as Image
- Other Useful Properties of Charts.
- Complete Understanding of Histograms
- Plotting Different Charts, Labels, and Labels Alignment etc.

Introduction to Data Visualization with Seaborn

Introduction to Seaborn
- Introduction to Seaborn
- Making a scatter plot with lists
- Making a count plot with a list
- Using Pandas with seaborn
- Tidy vs Untidy data
- Making a count plot with a Dataframe
- Adding a third variable with hue
- Hue and scattera plots
- Hue and count plots
Visualizing Two Quantitative Variables
- Introduction to relational plots and subplots
- Creating subplots with col and row
- Customizing scatters plots
- Changing the size of scatter plot points
- Changing the style of scatter plot points
- Introduction to line plots
- Interpreting line plots
- Visualizing standard deviation with line plots
- Plotting subgroups in line plots
Visualizing a Categorical and a Quantitative Variable
- Current plots and bar plots
- Count plots
- Bar plot with percentages
- Customizing bar plots
- Box plots
- Create and interpret a box plot
- Omitting outliers
- Adjusting the whisk
- Point plots
- Customizing points plots
- Point plot with subgroups
Customizing Seaborn Plots
- Changing plot style and colour
- Changing style and palette
- Changing the scale
- Using a custom palette
- Adding titles and labels Part 1
- Face Grids vs. Axes
- Adding a title to a face Grid object
- Adding title and labels Part 2
- Adding a title and axis labels
- Rotating x-tics labels and subplot
- Putting it all together
- Box plot with subgroups
- Bar plot with subgroups and subplots

Introduction to Statistics

Descriptive Statistics
Sample vs Population Statistics
Random variables
Probability distribution functions
Expected value
Normal distribution
Gaussian distribution
Z-score
Spread and Dispersion
Correlation and Co-variance

EDA (Exploratory Data Analysis)

Need for structured exploratory data
EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
Identify missing data
Identify outliers? data
Imbalanced Data Techniques

Data Pre-Processing & Data Mining

Data Preparation
Feature Engineering
Feature Scaling, Feature Transformation and Dimensionality Reduction
Datasets
Dimensionality Reduction (PCA, ICA,LDA)
Anomaly Detection
Parameter Estimation
Data and Knowledge
Selected Applications in Data Mining

Introduction to Predictive Modelling

Difference between Analysis and Analytics
Concept of model in analytics and how it is used
Common terminology used in Analytics & Modelling process
Popular Modelling algorithms, Data Analytics Life cycle
Types of Business problems - Mapping of Techniques

SQL Server Fundamentals

SQL Server 2019 Installation
Service Accounts & Use, Authentication Modes & Usage, Instance Congurations
SQL Server Features & Purpose
Using Management Studio (SSMS)
Conguration Tools & SQLCMD
Conventions & Collation

SQL Server 2019 Database Design

SQL Database Architecture
Database Creation using GUI
Database Creation using T-SQL scripts
DB Design using Files and File Groups
File locations and Size parameters
Database Structure modications

SQL Tables in MS SQL Server

SQL Server Database Tables
Table creation using T-SQL Scripts
Naming Conventions for Columns
Single Row and Multi-Row Inserts
Table Aliases
Column Aliases & Usage
Table creation using Schemas
Basic INSERT
UPDATE
DELETE
SELECT queries and Schemas
Use of WHERE, IN and BETWEEN
Variants of SELECT statement
ORDER BY
GROUPING
HAVING
ROWCOUNT and CUBE Functions

Data Validation and Constraints

Table creation using Constraints
NULL and IDENTITY properties
UNIQUE KEY Constraint and NOT NULL
PRIMARY KEY Constraint & Usage
CHECK and DEFAULT Constraints
Naming Composite Primary Keys
Disabling Constraints & Other Options

Views and Row Data Security

Benets of Views in SQL Database
Views on Tables and Views
SCHEMA BINDING and ENCRYPTION
Issues with Views and ALTER TABLE
Common System Views and Metadata
Common Dynamic Management views
Working with JOINS inside views

Indexes and Query tuning

Need for Indexes & Usage
Indexing Table & View Columns
Index SCAN and SEEK
INCLUDED Indexes & Usage
Materializing Views (storage level)
Composite Indexed Columns & Keys
Indexes and Table Constraints
Primary Keys & Non-Clustered Indexes

Stored Procedures and Benets

Why to use Stored Procedures
Types of Stored Procedures
Use of Variables and parameters
SCHEMABINDING and ENCRYPTION
INPUT and OUTPUT parameters
System level Stored Procedures
Dynamic SQL and parameterization

System functions and Usage

Scalar Valued Functions
Types of Table Valued Functions
SCHEMABINDING and ENCRYPTION
System Functions and usage
Date Functions
Time Functions
String and Operational Functions
ROW_COUNT
GROUPING Functions

Triggers, cursors, memory limitations

Why to use Triggers
DML Triggers and Performance impact
INSERTED and DELETED memory tables
Data Audit operations & Sampling
Database Triggers and Server Triggers
Bulk Operations with Triggers

Cursors and Memory Limitations

Cursor declaration and Life cycle
STATIC
DYNAMIC
SCROLL Cursors
FORWARD_ONLY and LOCAL Cursors
KEYSET Cursors with Complex SPs

Transactions Management

ACID Properties and Scope
EXPLICIT Transaction types
IMPLICIT Transactions and options

Understanding Concepts of Excel

Creation of Excel Sheet Data
Range Name, Format Painter
Conditional Formatting, Wrap Text, Merge & Centre
Sort, Filter, Advance Filter
Different type of Chart Creations
Auditing, (Trace Precedents, Trace Dependents)Print Area
Data Validations, Consolidate, Subtotal
What if Analysis (Data Table, Goal Seek, Scenario)
Solver, Freeze Panes
Various Simple Functions in Excel(Sum, Average, Max, Min)
Real Life Assignment work

Ms Excel Advance

Advance Data Sorting
Multi-level sorting
Restoring data to original order after performing sorting
Sort by icons
Sort by colours
Lookup Functions
- Lookup
- VLookup
- HLookup
Subtotal, Multi-Level Subtotal
Grouping Features
- Column Wise
- Row Wise
Consolidation With Several Worksheets
Filter
- Auto Filter
- Advance Filter
Printing of Raw & Column Heading on Each Page
Workbook Protection and Worksheet Protection
Specified Range Protection in Worksheet
Excel Data Analysis
- Goal Seek
- Scenario Manager
Data Table
- Advance use of Data Tables in Excel
- Reporting and Information Representation
Pivot Table
- Pivot Chat
- Slicer with Pivot Table & Chart
Generating MIS Report In Excel
- Advance Functions of Excel
- Math & Trig Functions
Text Functions
Lookup & Reference Function
Logical Functions & Date and Time Functions
Database Functions
Statistical Functions
Financial Functions
Functions for Calculation Depreciation

MIS Reporting & Dash Board

Dashboard Background
Dashboard Elements
Interactive Dashboards
Type of Reporting In India
- Industry Related Dashboard
- Indian Print Media Reporting

What is Macro

Understanding Macros

Recording a Macro

Recording a Macro

Different Components of a Macro

User Form
Title
Module

What is VBA and how to write macros in VBA.

Writing a simple macro
Apply arithmetic operations on two cells using macros.
How to align the text using macros.
How to change the background color of the cells using macros.
How to change the border color and style of the cells using macros.
Use cell referencing using macros.
How to copy the data from one cell and paste it into another.

Introduction to Power BI

Overview of BI concepts
Why we need BI
Introduction to SSBI
SSBI Tools
Why Power BI
What is Power BI
Building Blocks of Power BI
Getting started with Power BI Desktop
Get Power BI Tools
Introduction to Tools and Terminology
Dashboard in Minutes
Interacting with your Dashboards
Sharing Dashboards and Reports

Power BI Desktop

Power BI Desktop
Extracting data from various sources
Workspaces in Power BI

Power BI Data Transformation

Data Transformation
Query Editor
Connecting Power BI Desktop to our Data Sources
Editing Rows
Understanding Append Queries
Editing Columns
Replacing Values
Formatting Data
Pivoting and Unpivoting Columns
Splitting Columns
Creating a New Group for our Queries
Introducing the Star Schema
Duplicating and Referencing Queries
Creating the Dimension Tables
Entering Data Manually
Merging Queries
Finishing the Dimension Table
Introducing the another DimensionTable
Creating an Index Column
Duplicating Columns and Extracting Information
Creating Conditional Columns
Creating the FACT Table
Performing Basic Mathematical Operations
Improving Performance and Loading Data into the Data Model

Modelling with Power BI

Introduction to Modelling
Modelling Data
Manage Data Relationship
Optimize Data Models
Cardinality and Cross Filtering
Default Summarization & Sort by
Creating Calculated Columns
Creating Measures & Quick Measures

Data Analysis Expressions (DAX)

What is DAX
Data Types in DAX
Calculation Types
Syntax, Functions, Context Options
DAX Functions
Date and Time
Time Intelligence
Information
Logical
Mathematical
Statistical
Text and Aggregate
Measures in DAX
Measures and Calculated Columns
ROW Context and Filter Context in DAX
Operators in DAX - Real-time Usage
Quick Measures in DAX - Auto validations
In-Memory Processing DAX Performance

Power BI Desktop Visualisations

How to use Visual in Power BI
What Are Custom Visuals
Creating Visualisations and Colour Formatting
Setting Sort Order
Scatter & Bubble Charts & Play Axis
Tooltips and Slicers, Timeline Slicers & Sync Slicers
Cross Filtering and Highlighting
Visual, Page and Report Level Filters
Drill Down/Up
Hierarchies and Reference/Constant Lines
Tables, Matrices & Conditional Formatting
KPI's, Cards & Gauges
Map Visualizations
Custom Visuals
Managing and Arranging
Drill through and Custom Report Themes
Grouping and Binning and Selection Pane, Bookmarks & Buttons
Data Binding and Power BI Report Server

Introduction to Power BI Dashboard and Data Insights

Why Dashboard and Dashboard vs Reports
Creating Dashboards
Conguring a Dashboard Dashboard Tiles, Pinning Tiles
Power BI Q&A
Quick Insights in Power BI

Direct Connectivity

Custom Data Gateways
Exploring live connections to data with Power BI
Connecting directly to SQL Server
Connectivity with CSV & Text Files
Excel with Power BI Connect Excel to Power BI, Power BI Publisher for Excel
Content packs
Update content packs

Publishing and Sharing

Introduction and Sharing Options Overview
Publish from Power BI Desktop and Publish to Web
Share Dashboard with Power BI Service
Workspaces (Power BI Pro) and Content Packs (Power BI Pro)
Print or Save as PDF and Row Level Security (Power BI Pro)
Export Data from a Visualization
Export to PowerPoint and Sharing Options Summary

Refreshing Datasets

Understanding Data Refresh
Personal Gateway (Power BI Pro and 64-bit Windows)

Introduction to Machine Learning

What is Machine Learning
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories

Supervised Learning

Classification and Regression
Where we use classification model and where we use regression
Regression Algorithms and its types

Regression Algorithm

Logistic Regression
Evaluation Matrix of Regression Algorithm

Classification Algorithm

Implementing KNN
Implementing Na?ve Bayes Classifier
Implementation and Introduction to Decision Tree using CARTand ID3
Introduction to Ensemble Learning
Random Forest algorithm using bagging and boosting
Evaluation Matrix of classification algorithms (confusion matrix, r2score, Accuracy,f1-score,recall and precision

Optimization Algorithm

Hyperparameter Optimization
Grid Search vs. Random Search

Dimensionality Reduction

Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Factor Analysis
Scaling dimensional model
LDA
ICA

Unsupervised Learning

What is Clustering & its Use Cases
What is K-means Clustering
How does the K-means algorithm works
How to do optimal clustering
What is Hierarchical Clustering
How does Hierarchical Clustering work

Association Rules Mining and Recommendation Systems

What are Association Rules
Association Rule Parameters
Calculating Association Rule Parameters
Recommendation Engines
How do Recommendation Engines work
Collaborative Filtering
Content-Based Filtering
Association Algorithms
Implementation of Apriori Association Algorithm

Reinforcement Learning

What is Reinforcement Learning
Why Reinforcement Learning
Elements of Reinforcement Learning
Exploration vs. Exploitation dilemma
Epsilon Greedy Algorithm
Markov Decision Process (MDP)
Q values and V values
Q ? Learning
Values

Time Series Analysis

What is Time Series Analysis
Importance of TSA
Components of TSA

Model Selection and Boosting

What is Model Selection
Need for Model Selection
Cross Validation
What is Boosting
How do Boosting Algorithms work
Types of Boosting Algorithms

Introduction to Text Mining and NLP

Overview of Text Mining
Need of Text Mining
Natural Language Processing (NLP) in Text Mining
Applications of Text Mining
OS Module
Reading, Writing to text and word files
Setting the NLTK Environment
Accessing the NLTK Corpora

Extracting, Cleaning and Preprocessing Text

Tokenization
Frequency Distribution
Different Types of Tokenizers
Bigrams, Trigrams & Ngrams
Stemming
Lemmatization
Stopwords
POS Tagging
Named Entity Recognition

Analyzing Sentence Structure

Syntax Trees
Chunking
Chinking
Context Free Grammars (CFG)
Automating Text Paraphrasing

Text Classification - I

Machine Learning: Brush Up
Bag of Words
Count Vectorizer
Term Frequency (TF)
Inverse Document Frequency (IDF)

Getting Started with TensorFlow 2.0

Introduction to TensorFlow 2.x
Installing TensorFlow 2.x
Defining Sequence model layers
Activation Function
Layer Types
Model Compilation
Model Optimizer
Model Loss Function
Model Training
Digit Classification using Simple Neural Network in TensorFlow 2.x
Improving the model
Adding Hidden Layer
Adding Dropout
Using Adam Optimizer

Introduction to Deep Learning

What is Deep Learning
Curse of Dimensionality
Machine Learning vs. Deep Learning
Use cases of Deep Learning
Human Brain vs. Neural Network
What is Perceptron
Learning Rate
Epoch
Batch Size
Activation Function
Single Layer Perceptron

Neural Networks

What is NN
Types of NN
Creation of simple neural network using tensorflow

Convolution Neural Network

Image Classification Example
What is Convolution
Convolutional Layer Network
Convolutional Layer
Filtering
ReLU Layer
Pooling
Data Flattening
Fully Connected Layer
Predicting a cat or a dog
Saving and Loading a Model
Face Detection using OpenCV

Image Processing and Computer Vision

Introduction to Vision
Importance of Image Processing
Image Processing Challenges ? Interclass Variation, ViewPoint Variation, Illumination, Background Clutter, Occlusion & Number of Large Categories
Introduction to Image ? Image Transformation, Image Processing Operations & Simple Point Operations
Noise Reduction ? Moving Average & 2D Moving Average
Image Filtering ? Linear & Gaussian Filtering
Disadvantage of Correlation Filter
Introduction to Convolution
Boundary Effects ? Zero, Wrap, Clamp & Mirror
Image Sharpening
Template Matching
Edge Detection ? Image filtering, Origin of Edges, Edges in images as Functions, Sobel Edge Detector
Effect of Noise
Laplacian Filter
Smoothing with Gaussian
LOG Filter ? Blob Detection
Noise ? Reduction using Salt & Pepper Noise using Gaussian Filter
Nonlinear Filters
Bilateral Filters
Canny Edge Detector - Non Maximum Suppression, Hysteresis Thresholding
Image Sampling & Interpolation ? Image Sub Sampling, Image Aliasing, Nyquist Limit, Wagon Wheel Effect, Down Sampling with Gaussian Filter, Image Pyramid, Image Up Sampling
Image Interpolation ? Nearest Neighbour Interpolation, Linear Interpolation, Bilinear Interpolation & Cubic Interpolation
Introduction to the dnn module
- Deep Learning Deployment Toolkit
- Use of DLDT with OpenCV4.0
OpenVINO Toolkit
- Introduction
- Model Optimization of pre-trained models
- Inference Engine and Deployment process

Regional CNN

Regional-CNN
Selective Search Algorithm
Bounding Box Regression
SVM in RCNN
Pre-trained Model
Model Accuracy
Model Inference Time
Model Size Comparison
Transfer Learning
Object Detection ? Evaluation
mAP
IoU
RCNN ? Speed Bottleneck
Fast R-CNN
RoI Pooling
Fast R-CNN ? Speed Bottleneck
Faster R-CNN
Feature Pyramid Network (FPN)
Regional Proposal Network (RPN)
Mask R-CNN

Introduction to RNN and GRU

Issues with Feed Forward Network
Recurrent Neural Network (RNN)
Architecture of RNN
Calculation in RNN
Backpropagation and Loss calculation
Applications of RNN
Vanishing Gradient
Exploding Gradient
What is GRU
Components of GRU
Update gate
Reset gate
Current memory content
Final memory at current time step

RNN, LSTM

What is LSTM
Structure of LSTM
Forget Gate
Input Gate
Output Gate
LSTM architecture
Types of Sequence-Based Model
Sequence Prediction
Sequence Classification
Sequence Generation
Types of LSTM
Vanilla LSTM
Stacked LSTM
CNN LSTM
Bidirectional LSTM
How to increase the efficiency of the model
Backpropagation through time
Workflow of BPTT

Introduction to Generative AI & Transfer Learning

Boltzmann Machine & Autoencoder

What is Boltzmann Machine (BM)
Understanding Autoencoders
Architecture of Autoencoders
Brief on types of Autoencoders
Applications of Autoencoders

BERT Algorithm

What is BERT
Brief on types of BERT

Introduction to Cloud Computing

In this module, you will learn what Cloud Computing is and what are the different models of Cloud Computing along with the key differentiators of different models. We will also introduce you to virtual world of AWS along with AWS key vocabulary, services and concepts.
- A Short history
- Client Server Computing Concepts
- Challenges with Distributed Computing
- Introduction to Cloud Computing
- Why Cloud Computing
- Benefits of Cloud Computing

Amazon EC2 and Amazon EBS

In this module, you will learn about the introduction to compute offering from AWS called EC2. We will cover different instance types and Amazon AMIs. A demo on launching an AWS EC2 instance, connect with an instance and host ing a website on AWS EC2 instance. We will also cover EBS storage Architecture (AWS persistent storage) and the concepts of AMI and snapshots.
- Amazon EC2
- EC2 Pricing
- EC2 Type
- Installation of Web server and manage like (Apache/ Nginx)
- Demo of AMI Creation
- Exercise
- Hands on both Linux and Windows

Amazon Storage Services S3 (Simple Storage Services)

In this module, you will learn how AWS provides various kinds of scalable storage services. In this module, we will cover different storage services like S3, Glacier, Versioning, and learn how to host a static website on AWS.
- Versioning
- Static website
- Policy
- Permission
- Cross region Replication
- AWS-CLI
- Life cycle
- Classes of Storage
- AWS CloudFront
- Real scenario Practical
- Hands-on all above

Cloud Watch & SNS

In this module, you will learn how to monitoring AWS resources and setting up alerts and notifications for AWS resources and AWS usage billing with AWS CloudWatch and SNS.
- Amazon Cloud Watch
- SNS - Simple Notification Services
- Cloud Watch with Agent

Scaling and Load Distribution in AWS

In this module, you will learn about 'Scaling' and 'Load distribution techniques' in AWS. This module also includes a demo of Load distribution & Scaling your resources horizontally based on time or activity.
- Amazon Auto Scaling
- Auto scaling policy with real scenario based
- Type of Load Balancer
- Hands on with scenario based

AWS VPC

In this module, you will learn introduction to Amazon Virtual Private Cloud. We will cover how you can make public and private subnet with AWS VPC. A demo on creating VPC. We will also cover overview of AWS Route 53.
- Amazon VPC with subnets
- Gateways
- Route Tables
- Subnet
- Cross region Peering

Identity and Access Management Techniques (IAM)

In this module, you will learn how to achieve distribution of access control with AWS using IAM.
Amazon IAM
- add users to groups,
- manage passwords,
- log in with IAM-created users.
User
Group
Role
Policy

Amazon Relational Database Service (RDS)

In this module, you will learn how to manage relational database service of AWS called RDS.
- Amazon RDS
- Type of RDS
- RDS Failover
- RDS Subnet
- RDS Migration
- Dynamo DB (No SQL DB)
- Redshift Cluster
- SQL workbench
- JDBC / ODBC

Multiple AWS Services and Managing the Resources' Lifecycle

In this module, you will get an overview of multiple AWS services. We will talk about how do you manage life cycle of AWS resources and follow the DevOps model in AWS. We will also talk about notification and email service of AWS along with Content Distribution Service in this module.
- Cloud Trail,

AWS Architecture and Design

In this module, you will cover various architecture and design aspects of AWS. We will also cover the cost planning and optimization techniques along with AWS security best practices, High Availability (HA) and Disaster Recovery (DR) in AWS.
- AWS High Availability Design
- AWS Best Practices (Cost +Security)
- AWS Calculator & Consolidated Billing

Migrating to Cloud & AWS

Router S3 DNS