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Back-End Development

Demo Lecture

Course Curriculum

Module 1: Introduction to Backend Development and Node.js

Overview of backend development
Importance of backend in web development Backend technologies and their role
What is Node.js?
Installation and setup
Understanding Node.js architecture
JavaScript fundamentals review
Node.js modules and CommonJS syntax
Asynchronous programming with callbacks

Module 2: Building Web Servers with Node.js

Defining routes in Node.js
Introduction to package.json and npm packages.
HTTP request and response.
Handling different HTTP methods (GET, POST, PUT, DELETE)
Parsing request parameters and payloads
Static file hosting, server side rendering, Web APIs
Passing data from backend to frontend

Module 3: Building Web Servers with Express.js

What is Express.js?
Why use Express.js for web development?
Installing Express.js and setting up a project
Defining routes in Express.js
Handling different HTTP methods (GET, POST, PUT, DELETE)
Parsing request parameters and payloads
API Endpoints
Understanding middleware concept
Implementing custom middleware
Using third-party middleware (body-parser, morgan, etc.)
Integrating template engines like EJS or Pug
Rendering dynamic content in views
Passing data from backend to frontend

Module 4: Building RESTful APIs

What are RESTful APIs?
Understanding RESTful principles (resources, methods, status codes, etc.)
Benefits of RESTful architecture
Designing API endpoints
Implementing CRUD operations for resources
Handling request validation and error responses
Securing APIs with middleware

Module 5: Working with MongoDB

What is MongoDB?
Comparing MongoDB with SQL databases
Installing and setting up MongoDB
Performing CRUD operations (Create, Read, Update, Delete)
Using MongoDB shell for command line interface
Using MongoDB Compass for visual interaction
Introduction to MongoDB Atlas for cloud-based database hosting
Introduction to Mongoose
Connecting Node.js to MongoDB using Mongoose
Defining models and schemas in Mongoose
Performing advanced queries (aggregation, indexing, etc.)
Working with embedded documents and arrays

Module 6: Testing and Deployment

Introduction to unit testing
Setting up Jest for testing Node.js applications
Writing unit tests for backend components
Overview of integration testing
Using SuperTest for testing Express.js APIs
Writing integration tests for API endpoints
Introduction to dotenv
Implementation of dotenv package for port number, password etc
Choosing a deployment platform (Heroku, AWS, etc.)
Preparing the application for production
Deploying the backend application

Module 7: Best Practices and Advanced Topics

Implementing error handling middleware
Logging best practices with Winston or similar libraries
Handling uncaught exceptions and promise rejections
Identifying performance bottlenecks in Node.js applications
Techniques for improving performance (caching, load balancing, etc.)
Monitoring and profiling Node.js applications
Introduction to WebSocket protocol
Implementing real-time features with Socket.IO
Building chat applications and other real-time experiences
Introduction to Docker and containerization
Dockerizing a Node.js application
Managing containers with Docker Compose

Module 8: Project

 

CAD Designing & Ansys Analysis

Demo Lecture

Course Curriculum

Curriculum for CAD Designing and ANSYS Analysis

Module 1 – Introduction to CAD
1.1 – Overview to CAD
1.2- Setting up a workspace and drawing basic shapes

Module 2 – 2D CAD Drawing Fundamentals
2.1- Drawing Fundamentals in SolidWorks
2.2- Advanced sketching techniques
2.3- Dimensioning and modifying sketches
2.4- Circular Patterns and path functions
2.5- 2D drawing of a component

Module 3 – Introduction to 3D CAD Design
3.1- Introduction to 3D Modelling
3.2- Revolve feature
3.3- Sweep and Sweep Cut
3.4- Extrude, Extrude Cut, Thread Cut, Loft
3.5- Advanced CAD Techniques

Module 4 – Advanced CAD Techniques
4.1- Parametric modelling , constraints and introduction to assembly
4.2- Assembly and mating of components
4.3- Assembly of Knuckle joint
4.4 – Assembly of Knuckle joint(2)
4.5- Rendering and Visualization of CAD Models

Module 5 – CAD Project

Module 6 – Introduction to CAD Simulation
6.1- Introduction to Simulation
6.2- Setting up Simulation Workspace and Basic Simulation

Module 7 – Static and Thermal Simulations
7.1- Static Simulation
7.2- Static Simulation
7.3- Advanced Static Simulation
7.4- Basic Thermal Simulation
7.5- Thermal Simulation
7.6- Heat Sink Simulation
7.7- Thermal Analysis of a Composite Wall

Module 8- Advanced Simulations in CAD
8.1- Advanced CAD Simulation
8.2- Modal Analysis
8.3- Buckling Analysis
8.4- Motion Analysis

Module 9 – Introduction to ANSYS
9.1- ANSYS Workbench
9.2- Importing Geometry And Meshing Techniques

Module 10 – Structural and Thermal Analysis in ANSYS
10.1- Structural Analysis in Mechanical APDL
10.2- Structural Analysis on Mechanical APDL
10.3- Structural Analysis – Mechanical APDL
10.4- Structural Analysis- Mechanical APDL
10.5- Thermal Analysis- Mechanical APDL
10.6 part 1- STATIC STRUCTURAL
10.6 part 2- STATIC STRUCTURAL
10.7- STATIC STRUCTURAL
10.8- STATIC STRUCTURAL( Contacts and BOLT PRETENSION)
10.9- STEADY STATE THERMAL ANALYSIS
10.10- TRANSIENT THERMAL ANALYSIS

Module 11- Fluid and Advanced Analysis in ANSYS
11.1- CFD ANALYSIS
11.2- CFD ANALYSIS 2
11.3- Transient fluid analysis
11.4- ADVANCED CFD
11.5- ADVANCED CFD ANALYSIS
11.6- INTRODUCTION TO EXPLICIT DYNAMICS AND NON LINEAR SIMULATION
11.7- CFD PROJECT
11.8- CFD PROJECT 2

Final Project

Data Science & Analytics

Demo Lecture

Course Curriculum

Module – 1 Introduction to Data Science
What is Data Science?
Introduction to the Data Science Workflow
Importance and applications of data science

Module – 2 Introduction to Data
Understanding data types: structured vs. unstructured
Basics of data collection and data entry

Module – 3 Data Wrangling
Data cleaning and pre-processing techniques
Handling missing data
Data manipulation with Pandas in Python

Module – 4 Exploratory Data Analysis (EDA)
Descriptive statistics: mean, median, mode, standard deviation, etc.
Data visualization basics with Matplotlib and Seaborn

Module – 5 Data Visualization
Data visualization using Matplotlib and Seaborn libraries
Visualizing distributions, relationships, and trends in data

Module – 6 Statistical Analysis
Probability theory and distributions
Hypothesis testing (t-tests, chi-square tests)
Correlation and regression analysis
Introduction to statistical inference

Module – 7 Machine Learning Fundamentals
Introduction to machine learning
Supervised learning
Unsupervised learning
Model evaluation and validation techniques

Module – 8 Model Evaluation
Train/test split
Cross-validation
Performance metrics: accuracy, recall, precision, sensitivity

Module – 9 Data Engineering
Database systems (SQL and NoSQL)
Data warehousing
Introduction to Power BI: overview, Power Query Editor, visualizing loaded data, creating story, creating dashboards

Module – 10 Advanced Topics and Applications 
Clustering algorithms (K-means, hierarchical clustering)
Dimensionality reduction techniques (PCA, t-SNE)
Natural Language Processing (NLP) basics
Introduction to deep learning and neural networks

Module 11 – Project
Project: applying learned concepts and tools to solve a real-world problem

Ethical Hacking

Demo Lecture

Course Curriculum

Introduction to Ethical Hacking
– Understanding Ethical Hacking and its Importance
– Differentiating Ethical Hacking from Malicious Hacking
– Legal and Ethical Considerations
– Overview of Common Cybersecurity Threats and Attack Vectors
– Introduction to Penetration Testing and Vulnerability Assessment
– Installing Linux, Linux Basics & File Permissions

Networking Fundamentals
– Basics of Computer Networks
– TCP/IP Fundamentals
– OSI Model and its Layers
– Understanding Network Protocols (e.g., HTTP, FTP, DNS)
– Network Scanning Techniques and Tools

Information Gathering and Footprinting
– Understanding Information Gathering Techniques
– Passive and Active Information Gathering
– Whois Lookup, DNS Enumeration, and Google Hacking
– Social Engineering Fundamentals
– Using Open Source Intelligence (OSINT) Tools

System Hacking
– Understanding System Architecture
– Exploiting System Vulnerabilities
– Password Cracking Techniques and Tools
– Privilege Escalation
– Malware Fundamentals and Countermeasures

Web Application Security
– Understanding Web Application Architecture
– Common Web Application Vulnerabilities (e.g., SQL Injection, Cross-Site Scripting)
– Web Application Scanning and Enumeration
– OWASP Top 10
– Web Application Penetration Testing Methodologies and Tools

Wireless Network Security and Ethical Hacking Project
– Wireless Networking Fundamentals
– Wireless Security Protocols (e.g., WEP, WPA, WPA2)
– Wireless Hacking Techniques (e.g., Packet Sniffing, Deauthentication Attacks)

Project

Front-End Development

Demo Lecture

Course Curriculum

Module 1: Introduction to Web Development

Lesson 1: Understanding the Basics of Web Development
What is web development?
Overview of front-end vs. back-end development
Lesson 2: Introduction to HTML
What is HTML?
Basic structure of an HTML document
Tags, elements, and attributes

Module 2: Building Layouts with CSS

Lesson 3: Introduction to CSS
What is CSS?
Basic CSS syntax and selectors
Styling text, colors, and backgrounds
Lesson 4: Working with CSS Layouts
Introduction to CSS box model
Building simple layouts using CSS floats and positioning

Module 3: Introduction to JavaScript

Lesson 5: Basics of JavaScript
Introduction to JavaScript
Variables, data types, and operators
Control flow and loops
Lesson 6: DOM Manipulation with JavaScript
Introduction to the Document Object Model (DOM)
Manipulating DOM elements with JavaScript

Module 4: Introduction to React JS

Lesson 7: What is React JS?
Overview of React JS and its advantages
Introduction to React components
Lesson 8: Setting Up a React Project
Installing Node.js and npm
Creating a new React project using Create React App

Module 5: Fundamentals of React Components

Lesson 9: Functional Components
Introduction to functional components in React
Creating and rendering functional components
Lesson 10: JSX Syntax
Understanding JSX syntax
Embedding JavaScript expressions in JSX

Module 5: State and Props in React

Lesson 11: State Management in React
Introduction to state in React components
Managing state using use State hook
Lesson 12: Props and Prop Types
Passing data between components using props
Validating props using Prop Types

Module 6: Handling Events and Forms

Lesson 13: Event Handling in React
Handling events in React components
Updating state based on user interactions
Lesson 14: Forms in React
Creating controlled forms in React
Handling form submission and validation

Module 7: Styling in React

Lesson 15: CSS Styling in React
Different methods of styling React components
Inline styles and CSS modules
Lesson 16: Styled Components
Introduction to styled-components library
Creating styled components for enhanced styling

Module 8: React Router

Lesson 17: Introduction to React Router
Setting up React Router for navigation
Implementing basic routing in React applications

Module 9: Project
Building a Simple React Application
Applying concepts learned throughout the course to build a small project
Creating layouts, forms, and navigation using React components

 

JAVA Programming

Demo Lecture

Course Curriculum

  1. Introduction
  2. Installing the Softwares & First Program
  3. Variables and Data Types
  4. Arithmetic Operators
  5. User Inputs
  6. If-Else Condition
  7. Loops
  8. Loops Practice
  9. Break and continue
  10. Methods
  11. Classes and Objects
  12. packages
  13. Getter and Setters
  14. inheritance
  15. interface
  16. Methods Overloading
  17. Abstract Classes
  18. polymorphism
  19. This and super Keyword
  20. Try, Catch and Finally
  21. Checked and Unchecked Exceptions
  22. Throw and Throws Keyword
  23. Multi threading in JAVA
  24. Methods of Thread
  25. Life Cycle of Thread
  26. Thread Priority
  27. Access Modifiers
  28. Arrays
  29. 2D Array
  30. Collective Framework
  31. Recursion
  32. File Handling
  33. Char System, Byte Stream and Buffered Stream
  34. Project

Machine Learning

Demo Lecture

Course Curriculum

  1. Introduction to Machine Learning:
  • Definition and basic concepts
  • Types of machine learning: supervised, unsupervised, and reinforcement learning
  1. Mathematics for Machine Learning
  • Linear algebra
  • Calculus
  • Probability and statistics
  1. Python Programming:
  • Basics of Python
  • Libraries for data manipulation and visualization: NumPy, Pandas, matplotlib, and Seaborn
  1. Data Pre-processing:
  • Data cleaning
  • Feature scaling
  • Handling missing data
  1. Supervised Learning:
  • Linear regression
  • Logistic regression
  • Decision trees
  • Random forests
  1. Model Evaluation and Validation:
  • Cross-validation
  • Bias-variance trade-off
  • Evaluation metrics: accuracy, precision, recall, F1-score
  1. Unsupervised Learning:
  • K-means clustering
  • Hierarchical clustering
  • Principal Component Analysis (PCA)
  1. Feature Engineering:
  • Feature selection
  • Feature extraction
  • Dimensionality reduction techniques
  1. Advanced Regression Techniques:
  • Ridge regression
  • Lasso regression
  • Elastic Net regression
  1. Natural Language Processing (NLP):
  • Text pre-processing
  • Bag-of-Words model
  • Word embeddings: Word2Vec, GloVe
  1. Deep Learning Fundamentals:
  • Neural network architecture
  • Activation functions
  • Backpropagation algorithm
  1. Convolutional Neural Networks (CNNs):
  • Architecture of CNNs
  • Convolutional layers
  • Pooling layers
  1. Recurrent Neural Networks (RNNs):
  • Architecture of RNNs
  • Long Short-Term Memory (LSTM)
  • Gated Recurrent Units (GRU)
  1. Generative Adversarial Networks (GANs):
  • Introduction to GANs
  • Training GANs
  • Applications of GANs
  1. Deployment and Model Optimization: (if possible)
  • Model deployment using frameworks like TensorFlow Serving or Flask
  • Model optimization techniques
  • Scaling machine learning models
  1. Special Topics in Machine Learning:
  • Reinforcement learning algorithms: Q-learning, Deep Q Network (DQN)
  • Time series forecasting
  • Anomaly detection techniques
  1. Project 
  2. How to use Kaggle Platform

MERN Full Stack

Demo Lecture - 1

Demo Lecture - 2

Course Curriculum

1. Front-End (HTML, CSS, JS, React JS)

Module 1: Introduction to Web Development

Lesson 1: Understanding the Basics of Web Development
What is web development?
Overview of front-end vs. back-end development
Lesson 2: Introduction to HTML
What is HTML?
Basic structure of an HTML document
Tags, elements, and attributes

Module 2: Building Layouts with CSS

Lesson 3: Introduction to CSS
What is CSS?
Basic CSS syntax and selectors
Styling text, colors, and backgrounds
Lesson 4: Working with CSS Layouts
Introduction to CSS box model
Building simple layouts using CSS floats and positioning

Module 3: Introduction to JavaScript

Lesson 5: Basics of JavaScript
Introduction to JavaScript
Variables, data types, and operators
Control flow and loops
Lesson 6: DOM Manipulation with JavaScript
Introduction to the Document Object Model (DOM)
Manipulating DOM elements with JavaScript

Module 4: Introduction to React JS

Lesson 7: What is React JS?
Overview of React JS and its advantages
Introduction to React components
Lesson 8: Setting Up a React Project
Installing Node.js and npm
Creating a new React project using Create React App

Module 5: Fundamentals of React Components

Lesson 9: Functional Components
Introduction to functional components in React
Creating and rendering functional components
Lesson 10: JSX Syntax
Understanding JSX syntax
Embedding JavaScript expressions in JSX

Module 5: State and Props in React

Lesson 11: State Management in React
Introduction to state in React components
Managing state using use State hook
Lesson 12: Props and Prop Types
Passing data between components using props
Validating props using Prop Types

Module 6: Handling Events and Forms

Lesson 13: Event Handling in React
Handling events in React components
Updating state based on user interactions
Lesson 14: Forms in React
Creating controlled forms in React
Handling form submission and validation

Module 7: Styling in React

Lesson 15: CSS Styling in React
Different methods of styling React components
Inline styles and CSS modules
Lesson 16: Styled Components
Introduction to styled-components library
Creating styled components for enhanced styling

Module 8: React Router

Lesson 17: Introduction to React Router
Setting up React Router for navigation
Implementing basic routing in React applications

Module 9: Project
Building a Simple React Application
Applying concepts learned throughout the course to build a small project
Creating layouts, forms, and navigation using React components

2. Back-End Development (Express JS, Node JS, Mongo DB)

Module 1: Introduction to Backend Development and Node.js

Overview of backend development
Importance of backend in web development Backend technologies and their role
What is Node.js?
Installation and setup
Understanding Node.js architecture
JavaScript fundamentals review
Node.js modules and CommonJS syntax
Asynchronous programming with callbacks

Module 2: Building Web Servers with Node.js

Defining routes in Node.js
Introduction to package.json and npm packages.
HTTP request and response.
Handling different HTTP methods (GET, POST, PUT, DELETE)
Parsing request parameters and payloads
Static file hosting, server side rendering, Web APIs
Passing data from backend to frontend

Module 3: Building Web Servers with Express.js

What is Express.js?
Why use Express.js for web development?
Installing Express.js and setting up a project
Defining routes in Express.js
Handling different HTTP methods (GET, POST, PUT, DELETE)
Parsing request parameters and payloads
API Endpoints
Understanding middleware concept
Implementing custom middleware
Using third-party middleware (body-parser, morgan, etc.)
Integrating template engines like EJS or Pug
Rendering dynamic content in views
Passing data from backend to frontend

Module 4: Building RESTful APIs

What are RESTful APIs?
Understanding RESTful principles (resources, methods, status codes, etc.)
Benefits of RESTful architecture
Designing API endpoints
Implementing CRUD operations for resources
Handling request validation and error responses
Securing APIs with middleware

Module 5: Working with MongoDB

What is MongoDB?
Comparing MongoDB with SQL databases
Installing and setting up MongoDB
Performing CRUD operations (Create, Read, Update, Delete)
Using MongoDB shell for command line interface
Using MongoDB Compass for visual interaction
Introduction to MongoDB Atlas for cloud-based database hosting
Introduction to Mongoose
Connecting Node.js to MongoDB using Mongoose
Defining models and schemas in Mongoose
Performing advanced queries (aggregation, indexing, etc.)
Working with embedded documents and arrays

Module 6: Testing and Deployment

Introduction to unit testing
Setting up Jest for testing Node.js applications
Writing unit tests for backend components
Overview of integration testing
Using SuperTest for testing Express.js APIs
Writing integration tests for API endpoints
Introduction to dotenv
Implementation of dotenv package for port number, password etc
Choosing a deployment platform (Heroku, AWS, etc.)
Preparing the application for production
Deploying the backend application

Module 7: Best Practices and Advanced Topics

Implementing error handling middleware
Logging best practices with Winston or similar libraries
Handling uncaught exceptions and promise rejections
Identifying performance bottlenecks in Node.js applications
Techniques for improving performance (caching, load balancing, etc.)
Monitoring and profiling Node.js applications
Introduction to WebSocket protocol
Implementing real-time features with Socket.IO
Building chat applications and other real-time experiences
Introduction to Docker and containerization
Dockerizing a Node.js application
Managing containers with Docker Compose

Module 8: Project

Python Programming

Demo Lecture

Course Curriculum

Module 1: Introduction to Python
What is Python?
Setting up Python environment (installation of Python, IDEs)
Writing your first Python program
Understanding Python syntax and indentation

Module 2: Variables and Data Types
Variables and assignment
Data Types
Type conversion (casting)
Working with strings: string manipulation, slicing

Module 3: Control Flow
Conditional statements: if, elif, else
Logical operators
Loops
Loop control statements: break, continue

Module 4: Data Structures
Lists: creating lists, accessing elements, list methods
Tuples: creating tuples, accessing elements
Dictionaries: creating dictionaries, accessing elements, dictionary methods

Module 5: Functions
Defining and calling functions
Parameters and arguments
Return statement
Scope of variables: global vs local

Module 6: File Handling
Opening and reading files
Writing to files
File modes: read, write, append

Module 7: Error Handling
Understanding exceptions
try-except blocks
Handling specific exceptions
finally block

Module 8: Introduction to Object-Oriented Programming (OOP)
Classes and objects
Attributes and methods
Constructor (in it method)
Inheritance and polymorphism

Module 9: Introduction to Modules and Packages
Creating and using modules
Importing modules
Creating and installing packages

Module 10: Introduction to Libraries
Overview of popular Python libraries (e.g., NumPy, Pandas, Matplotlib)
Installing and importing libraries
Basic usage examples

Module 11: Project

UI / UX Designing

Demo Lecture

Course Curriculum

1. Introduction to UI/UX Design
– Definition of UI and UX
– Importance of UI/UX in product development
– Career opportunities in UI/UX design

2. Fundamentals of Design
– Principles of design (balance, contrast, alignment, proximity, etc.)
– Color theory and psychology
– Typography basics
– Composition and layout

3. User Research
– Understanding user needs and behaviors
– Methods of user research (surveys, interviews, personas, etc.)
– User journey mapping
– Usability testing

4. Wireframing and Prototyping
– Introduction to wireframing tools (Sketch, Adobe XD, Figma, etc.)
– Creating low-fidelity wireframes
– Prototyping tools and techniques
– Interactive prototyping

5. Visual Design for UI
– Visual hierarchy
– Iconography and symbolism
– Creating UI elements (buttons, forms, navigation bars, etc.)
– Designing for different screen sizes and resolutions

6. Interaction Design
– Principles of interaction design
– Microinteractions
– Gestalt principles
– Designing for touch and gesture

7. Accessibility in Design
– Understanding accessibility guidelines (WCAG)
– Designing for users with disabilities
– Assistive technologies
– Inclusive design principles

8. UI Animation
– Basics of motion design
– Principles of UI animation
– Adding animations to enhance user experience
– Tools for creating UI animations (Principle, Adobe After Effects, etc.)

9. Responsive Design
– Responsive web design principles
– Fluid grids and flexible images
– Media queries
– Mobile-first design approach

10. Portfolio Development
– Building a UI/UX design portfolio
– Showcasing projects and case studies
– Presentation skills

11. Industry Tools and Trends
– Overview of industry-standard tools and software
– Staying updated with current design trends
– Continuous learning resources

12. Final Project
– Applying learned concepts to a real-world project
– Working through the design process from research to prototyping

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    Cloud Computing With AWS

    Demo Lecture

    Course Curriculum

    Module 1: Introduction to Cloud Computing

    • Overview of Cloud Computing
      • Definition, Characteristics, and Benefits
      • Types of Cloud Services: IaaS, PaaS, SaaS
      • Deployment Models: Public, Private, Hybrid, and Community Clouds
    • History and Evolution of Cloud Computing
      • From On-Premises to the Cloud
      • Major Milestones and Innovations
    • Why AWS for Cloud Computing?
      • AWS Overview and Market Leadership
      • Global Infrastructure: Regions and Availability Zones

    Module 2: Core Concepts of Cloud Computing

    • Virtualization Basics
      • AWS EC2 Instances as an Example of Virtual Machines
      • Amazon ECS and EKS for Container Management
    • Networking in the Cloud
      • Amazon VPC: Subnets, Route Tables, and Gateways
      • Elastic Load Balancing (ELB) and AWS Direct Connect
    • Storage in the Cloud
      • AWS S3 for Object Storage: Buckets, Access Policies, and Lifecycle Management
      • Amazon EBS for Block Storage

    Module 3: Cloud Infrastructure and Architecture

    • Scalability and Elasticity
      • Using AWS Auto Scaling for Elastic Workloads
      • Horizontal and Vertical Scaling with Amazon EC2
    • Cloud-Native Architecture
      • Serverless Computing with AWS Lambda
      • Orchestrating Containers with Amazon ECS and EKS
    • High Availability and Disaster Recovery
      • Multi-Region Deployments with AWS Route 53
      • Backup Strategies Using AWS Backup

    Module 4: Security in the Cloud

    • Cloud Security Fundamentals
      • Shared Responsibility Model with AWS
      • Identity and Access Management (IAM) for User Roles and Permissions
    • Data Security
      • Encryption Using AWS Key Management Service (KMS)
      • Monitoring and Auditing with AWS CloudTrail
    • Compliance and Governance
      • Managing Compliance with AWS Config and Artifact

    Module 5: Cloud Service Models

    • Infrastructure as a Service (IaaS)
      • Provisioning EC2 Instances
      • Managing Storage and Networking with Amazon VPC and Elastic IPs
    • Platform as a Service (PaaS)
      • Deploying Applications Using AWS Elastic Beanstalk
    • Software as a Service (SaaS)
      • Exploring AWS Marketplace for SaaS Solutions

    Module 6: DevOps and Automation in the Cloud

    • Cloud and DevOps Integration
      • Building CI/CD Pipelines with AWS CodePipeline and CodeDeploy
    • Infrastructure as Code (IaC)
      • Automating Resource Provisioning Using AWS CloudFormation and Terraform
    • Monitoring and Logging
      • Application Monitoring with Amazon CloudWatch

    Module 7: Cloud Economics and Optimization

    • Cost Management in AWS
      • Exploring AWS Pricing Models
      • Using AWS Budgets and Cost Explorer to Track and Optimize Costs
    • Resource Optimization
      • Reserved Instances and Savings Plans in EC2
      • Using Trusted Advisor for Recommendations
    • Sustainability in the Cloud
      • AWS’s Commitment to Renewable Energy and Carbon Footprint Reduction

    Module 8: Emerging Trends in Cloud Computing

    • Edge Computing with AWS
      • AWS IoT Greengrass and AWS Wavelength
    • AI and Machine Learning in the Cloud
      • Using Amazon Sage Maker for Machine Learning Workflows
    • Hybrid and Multi-Cloud Strategies
      • Managing Hybrid Environments with AWS Outposts

    Module 9: Projects

     

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