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Power BI Syllabus

Modules

  • Topic 1: Power BI Desktop Installation and User Interface
  • Topic 2: Introduction to Power BI
  • Topic 3: Power BI File Types and Data Connections
  • Topic 4: Understanding Power BI Desktop and Power BI Service

  • Topic 1: Connecting to Data Sources in Power BI Desktop
  • Topic 2: Data Transformation using Power Query Editor
  • Topic 3: Data Transformation Example – I
  • Topic 4: Data Transformation Example – II
  • Topic 5: Data Transformation Example – III
  • Topic 6: Data Transformation Example – IV

  • Topic 1: Data Expressions Applications – I
  • Topic 2: Data Expressions Applications – II
  • Topic 3: Data Expressions Applications – III
  • Topic 4: DAX Applications
  • Topic 5: Data Applications

  • Topic 1: Data Visualization and Report Creation
  • Topic 2: Enhancing and Publishing Reports
  • Topic 3: Identifying Trends and Patterns
  • Topic 4: Building and Publishing Paginated Reports

  • Topic 1: Creating and Managing Dashboards
  • Topic 2: Managing Dataset Configuration and Permissions
  • Topic 3: Creating and Managing Workspaces and Apps

  • Topic 1: Capstone Project to demonstrate learned Power BI skills
Salesforce Syllabus

Modules

Introduction to the Salesforce Course, objectives, and structure.

  • i. Web Application Architecture
  • ii. Web Technologies
  • iii. Salesforce Technologies

  • i. Your Questions
  • ii. Declarative Tools in Salesforce
  • iii. Create Salesforce Dev Org
  • iv. Code Editors for Salesforce Development

  • i. Hello World
  • ii. Variables and Heap
  • iii. Primitive Data Types
  • iv. String Class Methods
  • v. Escape Character
  • vi. Adding Comments in your Code
  • vii. List Datatype – Collections in Apex
  • viii. Set Datatype – Collection in Apex
  • ix. Map Datatype – Collection in Apex
  • x. Challenge 1 – Variables and Datatype
  • xi. Challenge Solutions – Variables and Datatypes
  • xii. Constants in Apex
  • xiii. Expressions and Operations – Intro
  • xiv. Operators
  • xv. Challenges 2 – Operators
  • xvi. Challenges Solution – Operations
  • xvii. Safe Navigation Operator
  • xviii. Null Coalescing Operator
  • xix. Datatype Conversion

  • i. If-Else Statement
  • ii. Switch-When Statement
  • iii. Challenge 3 - Conditional Statement
  • iv. Challenge Solution - Conditional Statements
  • v. The Story of If-Else vs Switch-When
  • vi. Loops in Apex - Do-While Loop
  • vii. Challenge 4 - Do-While Loop
  • viii. Challenge Solution - Do-While Loop
  • ix. While Loop
  • x. Challenge 5 - While Loop
  • xi. Challenge Solution - While Loop
  • xii. For Loop
  • xiii. Challenge 6 - For Loop
  • xiv. Challenge Solution - For Loop
  • xv. Break Statement - Breaking a Loop
  • xvi. Continue Statement - Skipping Loop Iteration
  • xvii. List Iteration for Loops
  • xviii. You Are a Developer

  • i. Class Definition and Methods
  • ii. Instance vs Static Variables
  • iii. Constructors in Apex
  • iv. Getter and Setter Methods
  • v. Challenge 7 - Apex Class
  • vi. Challenge Solution - Apex Class

  • i. Visualforce Page Basics
  • ii. Standard and Custom Controllers
  • iii. VF Pages with Apex
  • iv. Challenge 8 - Visualforce
  • v. Challenge Solution - Visualforce

  • i. SOQL Basics
  • ii. SOSL Overview
  • iii. Querying with Apex
  • iv. Challenge 9 - SOQL Query
  • v. Challenge Solution - SOQL Query

  • i. DML Basics
  • ii. DML in Apex
  • iii. DML Limitations
  • iv. Challenge 10 - DML Operations
  • v. Challenge Solution - DML Operations

  • i. Introduction to Apex Testing
  • ii. Writing Test Methods
  • iii. Test Data and Assert Statements
  • iv. Test Coverage
  • v. Challenge 11 - Apex Testing
  • vi. Challenge Solution - Apex Testing

  • i. What is a Trigger?
  • ii. Trigger Context Variables
  • iii. Trigger Best Practices
  • iv. Trigger Example
  • v. Challenge 12 - Trigger
  • vi. Challenge Solution - Trigger

  • i. Trigger Framework
  • ii. Bulkification
  • iii. Recursive Triggers
  • iv. Challenge 13 - Advanced Trigger
  • v. Challenge Solution - Advanced Trigger

  • i. Introduction to Lightning
  • ii. Lightning Components
  • iii. Lightning App Builder
  • iv. Challenge 14 - Lightning Components
  • v. Challenge Solution - Lightning Components

  • i. Custom Pages
  • ii. Page Layouts
  • iii. Visualforce Pages
  • iv. Challenge 15 - UI Customization
  • v. Challenge Solution - UI Customization

  • i. What is Batch Apex?
  • ii. Batch Apex Interface
  • iii. Challenge 16 - Batch Apex
  • iv. Challenge Solution - Batch Apex

  • i. Introduction to Queueable Apex
  • ii. Queueable Apex Interface
  • iii. Challenge 17 - Queueable Apex
  • iv. Challenge Solution - Queueable Apex

  • i. What is Scheduled Apex?
  • ii. Scheduled Apex Methods
  • iii. Challenge 18 - Scheduled Apex
  • iv. Challenge Solution - Scheduled Apex

  • i. What is Asynchronous Apex?
  • ii. Use Cases for Asynchronous Apex
  • iii. Challenge 19 - Asynchronous Apex
  • iv. Challenge Solution - Asynchronous Apex

  • i. User Permissions
  • ii. Field-Level Security
  • iii. Object-Level Security
  • iv. Challenge 20 - Security in Salesforce
  • v. Challenge Solution - Security in Salesforce

  • i. REST API
  • ii. SOAP API
  • iii. Apex Callouts
  • iv. Challenge 21 - Integrating Salesforce
  • v. Challenge Solution - Integrating Salesforce

  • i. Salesforce Deployment Tools
  • ii. Change Sets
  • iii. Salesforce DX
  • iv. Challenge 22 - Salesforce Deployment
  • v. Challenge Solution - Salesforce Deployment

  • i. Advanced Apex Programming
  • ii. Advanced Lightning Components
  • iii. Advanced Security in Salesforce
  • iv. Challenge 23 - Advanced Salesforce Topics
  • v. Challenge Solution - Advanced Salesforce Topics

  • i. Apex Best Practices
  • ii. Lightning Components Best Practices
  • iii. Salesforce Security Best Practices
  • iv. General Salesforce Best Practices
Cloud Engineering Syllabus

Modules

  • I. Overview of Cloud Computing
  • II. Cloud Service Models (IaaS, PaaS, SaaS)
  • III. Introduction to Cloud Providers (AWS, Azure, Google Cloud)

  • I. Virtual Machines and Containers
  • II. Cloud Networking and Security
  • III. Load Balancing and Auto Scaling

  • I. Object Storage and File Systems
  • II. Cloud Databases (SQL and NoSQL)
  • III. Distributed Databases

  • I. Cloud Security Principles
  • II. Identity and Access Management (IAM)
  • III. Compliance Standards (GDPR, HIPAA, etc.)

  • I. Introduction to DevOps in Cloud
  • II. Continuous Integration and Deployment (CI/CD)
  • III. Infrastructure as Code (Terraform, AWS CloudFormation)

  • I. Cloud Monitoring Tools (AWS CloudWatch, Azure Monitor)
  • II. Cost Management and Optimization Techniques
  • III. Resource Scaling and Cost Management Strategies

  • I. Capstone Project Overview
  • II. Building a Cloud Solution
  • III. Certification Preparation
Full Stack Web Development Syllabus

Modules

  • Topic 1: Understanding the Basics of the Web
  • Topic 2: How Browsers Work
  • Topic 3: Setting Up Your Development Environment

  • Topic 1: Introduction to HTML and CSS
  • Topic 2: Mastering JavaScript Fundamentals
  • Topic 3: Responsive Web Design with CSS
  • Topic 4: Building User Interfaces with React
  • Topic 5: Advanced React Concepts
  • Topic 6: State Management (Redux or Context API)
  • Topic 7: Routing with React Router

  • Topic 1: Introduction to Server-Side Development
  • Topic 2: Node.js and Express.js Fundamentals
  • Topic 3: Database Design and Management
  • Topic 4: API Development with Express.js
  • Topic 5: Authentication and Authorization

  • Topic 1: SQL and Relational Databases
  • Topic 2: Working with MongoDB (NoSQL)

  • Topic 1: Introduction to Next.js
  • Topic 2: Server-Side Rendering with Next.js
  • Topic 3: Data Fetching in Next.js

  • Topic 1: Version Control with Git
  • Topic 2: Hosting and Deployment Platforms (e.g., Heroku, AWS)
  • Topic 3: Continuous Integration and Deployment (CI/CD)

  • Topic 1: Project Idea and Planning
  • Topic 2: Design and Wireframing
  • Topic 3: Front-End Development
  • Topic 4: Back-End Development
  • Topic 5: Database Integration
  • Topic 6: User Authentication and Authorization
  • Topic 7: Testing and Debugging
  • Topic 8: Deployment and Scaling

  • Topic 1: E-commerce Website with Payment Gateway
  • Topic 2: Social Media Application
  • Topic 3: Blog Platform with User Authentication
  • Topic 4: Task Management System
UI/UX Design Syllabus

Modules

  • Topic 1: Understanding the Role of a UI/UX Designer
  • Topic 2: UI vs UX Design
  • Topic 3: The Design Process

  • Topic 1: Conducting User Interviews
  • Topic 2: Creating User Personas
  • Topic 3: Analyzing User Feedback

  • Topic 1: Creating Low-Fidelity Wireframes
  • Topic 2: Interactive Prototyping Tools
  • Topic 3: Usability Testing with Prototypes

  • Topic 1: Visual Hierarchy and Layout Design
  • Topic 2: Color Theory and Typography
  • Topic 3: Creating Consistent UI Elements

  • Topic 1: Conducting Heuristic Evaluations
  • Topic 2: User Testing Methods
  • Topic 3: Analyzing and Iterating Based on Feedback

  • Topic 1: Mobile and Responsive Design
  • Topic 2: Designing for Accessibility
  • Topic 3: Microinteractions and Animations

  • Topic 1: Designing a Mobile App UI
  • Topic 2: Creating an E-commerce Website UI
  • Topic 3: Redesigning an Existing Product
Android Developer Syllabus

Modules

  • Topic 1: Understanding the Android Ecosystem
  • Topic 2: Setting Up Android Development Environment
  • Topic 3: Introduction to Java/Kotlin Programming

  • Topic 1: Creating User Interfaces with XML
  • Topic 2: Layouts and Views
  • Topic 3: Material Design Guidelines

  • Topic 1: Model-View-Controller (MVC) Pattern
  • Topic 2: Model-View-Presenter (MVP) Pattern
  • Topic 3: Model-View-ViewModel (MVVM) Pattern

  • Topic 1: Working with SQLite Databases
  • Topic 2: Using Firebase Realtime Database
  • Topic 3: Content Providers and Data Binding

  • Topic 1: Making Network Requests with Retrofit
  • Topic 2: Handling JSON Data and API Integration

  • Topic 1: Working with Sensors and Location
  • Topic 2: Background Tasks and Services
  • Topic 3: Push Notifications and Cloud Messaging

  • Topic 1: Building a Social Media App
  • Topic 2: Developing a Location-Based App
  • Topic 3: Creating a Custom Launcher
AWS Syllabus

Modules

  • Topic 1: Overview of Cloud Computing
  • Topic 2: Understanding AWS Services
  • Topic 3: AWS Free Tier and Account Setup

  • Topic 1: EC2 (Elastic Compute Cloud)
  • Topic 2: Auto Scaling and Load Balancing
  • Topic 3: AWS Lambda (Serverless Computing)

  • Topic 1: Amazon S3 (Simple Storage Service)
  • Topic 2: Amazon EBS (Elastic Block Store)
  • Topic 3: Amazon Glacier

  • Topic 1: VPC (Virtual Private Cloud)
  • Topic 2: IAM (Identity and Access Management)
  • Topic 3: Security Best Practices

  • Topic 1: Amazon RDS (Relational Database Service)
  • Topic 2: DynamoDB
  • Topic 3: AWS Analytics Tools (Athena, QuickSight)
Artificial Intelligence Syllabus

Modules

  • Topic 1: Overview of AI
  • Topic 2: Applications of AI
  • Topic 3: AI in Industry

  • Topic 1: Supervised vs Unsupervised Learning
  • Topic 2: Regression & Classification
  • Topic 3: Introduction to Neural Networks

  • Topic 1: Introduction to Deep Learning
  • Topic 2: Convolutional Neural Networks (CNN)
  • Topic 3: Recurrent Neural Networks (RNN)

  • Topic 1: Text Preprocessing
  • Topic 2: Sentiment Analysis
  • Topic 3: Language Models

  • Topic 1: Introduction to Robotics
  • Topic 2: Path Planning and Navigation
  • Topic 3: AI in Autonomous Vehicles
Blockchain Syllabus

Modules

  • Topic 1: Blockchain Overview
  • Topic 2: Types of Blockchain
  • Topic 3: Blockchain Applications

  • Topic 1: Hashing and Public Key Infrastructure
  • Topic 2: Digital Signatures
  • Topic 3: Merkle Trees and Proof-of-Work

  • Topic 1: Proof of Work (PoW)
  • Topic 2: Proof of Stake (PoS)
  • Topic 3: Delegated Proof of Stake (DPoS)

  • Topic 1: Introduction to Ethereum
  • Topic 2: Smart Contracts and Their Use Cases
  • Topic 3: Solidity Programming

  • Topic 1: Blockchain Attacks
  • Topic 2: Blockchain Security Measures
  • Topic 3: Real-world Blockchain Security Issues
IoT Syllabus

Modules

  • Topic 1: What is IoT?
  • Topic 2: Applications of IoT
  • Topic 3: IoT Architecture

  • Topic 1: Introduction to Sensors
  • Topic 2: Working with Sensors
  • Topic 3: Types of Actuators

  • Topic 1: MQTT and HTTP
  • Topic 2: ZigBee and Bluetooth
  • Topic 3: LoRaWAN and NB-IoT

  • Topic 1: IoT Data Collection
  • Topic 2: Cloud Computing for IoT
  • Topic 3: Big Data Analytics in IoT

  • Topic 1: IoT Security Challenges
  • Topic 2: IoT Network Security
  • Topic 3: IoT Privacy and Data Protection
Cyber Security Syllabus

Modules

  • Topic 1: Basics of Cyber Security
  • Topic 2: Types of Cyber Attacks
  • Topic 3: Cyber Security Best Practices

  • Topic 1: Firewalls and VPNs
  • Topic 2: Intrusion Detection Systems
  • Topic 3: Secure Networking Protocols

  • Topic 1: Symmetric and Asymmetric Encryption
  • Topic 2: Public Key Infrastructure (PKI)
  • Topic 3: Hash Functions and Digital Signatures

  • Topic 1: Introduction to Ethical Hacking
  • Topic 2: Penetration Testing
  • Topic 3: Common Tools Used in Ethical Hacking

  • Topic 1: Types of Malware
  • Topic 2: Phishing and Social Engineering
  • Topic 3: Prevention Techniques
Software Development Syllabus

Modules

  • Topic 1: Software Development Life Cycle (SDLC)
  • Topic 2: Agile Methodology
  • Topic 3: Waterfall vs Agile

  • Topic 1: Principles of OOP
  • Topic 2: Classes and Objects
  • Topic 3: Inheritance, Polymorphism, Encapsulation, Abstraction

  • Topic 1: Arrays and Linked Lists
  • Topic 2: Stacks and Queues
  • Topic 3: Sorting and Searching Algorithms

  • Topic 1: Front-end Technologies (HTML, CSS, JavaScript)
  • Topic 2: Back-end Technologies (Node.js, PHP, Python)
  • Topic 3: Web Frameworks

  • Topic 1: Types of Testing
  • Topic 2: Debugging Techniques
  • Topic 3: Unit Testing and Automation
Artificial Intelligence Syllabus

Modules

  • Topic 1: Overview of AI
  • Topic 2: Applications of AI
  • Topic 3: AI in Industry

  • Topic 1: Supervised vs Unsupervised Learning
  • Topic 2: Regression & Classification
  • Topic 3: Introduction to Neural Networks

  • Topic 1: Introduction to Deep Learning
  • Topic 2: Convolutional Neural Networks (CNN)
  • Topic 3: Recurrent Neural Networks (RNN)

  • Topic 1: Text Preprocessing
  • Topic 2: Sentiment Analysis
  • Topic 3: Language Models

  • Topic 1: Introduction to Robotics
  • Topic 2: Path Planning and Navigation
  • Topic 3: AI in Autonomous Vehicles
Blockchain Syllabus

Modules

  • Topic 1: Blockchain Overview
  • Topic 2: Types of Blockchain
  • Topic 3: Blockchain Applications

  • Topic 1: Hashing and Public Key Infrastructure
  • Topic 2: Digital Signatures
  • Topic 3: Merkle Trees and Proof-of-Work

  • Topic 1: Proof of Work (PoW)
  • Topic 2: Proof of Stake (PoS)
  • Topic 3: Delegated Proof of Stake (DPoS)

  • Topic 1: Introduction to Ethereum
  • Topic 2: Smart Contracts and Their Use Cases
  • Topic 3: Solidity Programming

  • Topic 1: Blockchain Attacks
  • Topic 2: Blockchain Security Measures
  • Topic 3: Real-world Blockchain Security Issues
IoT Syllabus

Modules

  • Topic 1: What is IoT?
  • Topic 2: Applications of IoT
  • Topic 3: IoT Architecture

  • Topic 1: Introduction to Sensors
  • Topic 2: Working with Sensors
  • Topic 3: Types of Actuators

  • Topic 1: MQTT and HTTP
  • Topic 2: ZigBee and Bluetooth
  • Topic 3: LoRaWAN and NB-IoT

  • Topic 1: IoT Data Collection
  • Topic 2: Cloud Computing for IoT
  • Topic 3: Big Data Analytics in IoT

  • Topic 1: IoT Security Challenges
  • Topic 2: IoT Network Security
  • Topic 3: IoT Privacy and Data Protection
Cyber Security Syllabus

Modules

  • Topic 1: Basics of Cyber Security
  • Topic 2: Types of Cyber Attacks
  • Topic 3: Cyber Security Best Practices

  • Topic 1: Firewalls and VPNs
  • Topic 2: Intrusion Detection Systems
  • Topic 3: Secure Networking Protocols

  • Topic 1: Symmetric and Asymmetric Encryption
  • Topic 2: Public Key Infrastructure (PKI)
  • Topic 3: Hash Functions and Digital Signatures

  • Topic 1: Introduction to Ethical Hacking
  • Topic 2: Penetration Testing
  • Topic 3: Common Tools Used in Ethical Hacking

  • Topic 1: Types of Malware
  • Topic 2: Phishing and Social Engineering
  • Topic 3: Prevention Techniques
Microsoft Azure Syllabus

Modules

  • Topic 1: Overview of Cloud Computing
  • Topic 2: Setting Up an Azure Account
  • Topic 3: Azure Services Overview

  • Topic 1: Azure Virtual Machines
  • Topic 2: Azure Networking Services
  • Topic 3: Azure Load Balancer and Traffic Manager

  • Topic 1: Azure Blob Storage
  • Topic 2: Azure SQL Database
  • Topic 3: Azure Cosmos DB

  • Topic 1: Azure Active Directory (AAD)
  • Topic 2: Azure Security Center
  • Topic 3: Network Security and Firewalls
SAP Syllabus

Modules

  • Topic 1: Overview of SAP
  • Topic 2: SAP Modules and Architecture
  • Topic 3: SAP ECC vs S/4HANA

  • Topic 1: General Ledger
  • Topic 2: Accounts Payable and Receivable
  • Topic 3: Bank Accounting

  • Topic 1: Procurement Process
  • Topic 2: Inventory Management
  • Topic 3: Vendor Management
Microsoft Dynamics 365 Syllabus

Modules

  • Topic 1: Overview of Dynamics 365
  • Topic 2: Key Modules of Dynamics 365
  • Topic 3: Configuration and Setup

  • Topic 1: Managing Leads and Opportunities
  • Topic 2: Sales Automation Tools
  • Topic 3: Analytics and Reporting in Sales

  • Topic 1: Case Management and Service Level Agreements
  • Topic 2: Omnichannel for Customer Service
  • Topic 3: Knowledge Base and Reporting
Data Science Syllabus

Modules

  • Topic 1: Understanding the Basics of Data Science
  • Topic 2: Data Collection and Cleaning
  • Topic 3: Introduction to Data Analysis

  • Topic 1: Using Python for Data Manipulation
  • Topic 2: Data Visualization with Matplotlib and Seaborn
  • Topic 3: Exploratory Data Analysis

  • Topic 1: Introduction to Machine Learning
  • Topic 2: Supervised Learning Algorithms
  • Topic 3: Unsupervised Learning Algorithms
  • Topic 4: Model Evaluation and Selection

  • Topic 1: Introduction to Deep Learning
  • Topic 2: Neural Networks and Deep Learning Frameworks
  • Topic 3: Computer Vision and Natural Language Processing

  • Topic 1: Working with Jupyter Notebooks
  • Topic 2: Pandas and NumPy for Data Analysis
  • Topic 3: Scikit-Learn for Machine Learning

  • Topic 1: Deploying Machine Learning Models
  • Topic 2: Hyperparameter Tuning and Model Optimization
  • Topic 3: Model Interpretability and Explainability

  • Topic 1: Predictive Analytics for Business
  • Topic 2: Image Classification with Deep Learning
  • Topic 3: Natural Language Processing Applications
  • Topic 4: Recommendation Systems
Network Administration Syllabus

Modules

  • Topic 1:Understanding Networking Fundamentals
  • Topic 2:Introduction to Network Topologies
  • Topic 3:Setting Up Network Devices

  • Topic 1: TCP/IP and OSI Model
  • Topic 2: DNS, DHCP, and IP Addressing
  • Topic 3: Routing and Switching

  • Topic 1: Firewalls and Intrusion Detection Systems
  • Topic 2: Virtual Private Networks (VPNs)
  • Topic 3: Network Security Best Practices

  • Topic 1: Network Monitoring and Management
  • Topic 2: Troubleshooting Network Issues
  • Topic 3: Configuration and Device Management

  • Topic 1: Wireless Networking (Wi-Fi)
  • Topic 2: Cloud Networking and Services

  • Topic 1: Network Architecture and Design Principles
  • Topic 2: Performance Optimization and Scalability

  • Topic 1: Setting Up Enterprise Networks
  • Topic 2: Implementing Secure Data Centres
  • Topic 3: Managing Large-Scale Networks
Machine Learning Syllabus

Modules

  • Topic 1:Understanding the Basics of Machine Learning
  • Topic 2:Exploring Supervised Learning
  • Topic 3:Setting Up Your ML Development Environment

  • Topic 1: Data Cleaning and Transformation
  • Topic 2: Feature Selection and Extraction
  • Topic 3: Dealing with Imbalanced Data

  • Topic 1: Linear Regression and Logistic Regression
  • Topic 2: Decision Trees and Random Forest
  • Topic 3: Support Vector Machines (SVM)
  • Topic 4: Naive Bayes and k-Nearest Neighbors (k-NN)

  • Topic 1: K-Means Clustering
  • Topic 2: Hierarchical Clustering
  • Topic 3: Principal Component Analysis (PCA)
  • Topic 4: Anomaly Detection

  • Topic 1: Introduction to Neural Networks
  • Topic 2: Deep Learning with TensorFlow and Keras
  • Topic 3: Convolutional Neural Networks (CNN)
  • Topic 4: Recurrent Neural Networks (RNN)

  • Topic 1: Cross-Validation and Model Metrics
  • Topic 2: Hyperparameter Optimization

  • Topic 1: Natural Language Processing (NLP)
  • Topic 2: Computer Vision and Image Recognition
  • Topic 3: Recommendation Systems
  • Topic 4: Time Series Analysis
DevOps Engineering Syllabus

Modules

  • Topic 1: Introduction to DevOps Principles
  • Topic 2: Collaborative Development and Operations
  • Topic 3: Continuous Integration and Continuous Deployment (CI/CD)

  • Topic 1: Git Fundamentals and Workflow
  • Topic 2: Branching Strategies and Code Review
  • Topic 3: Git Best Practices in DevOps

  • Topic 1: Managing Infrastructure with Terraform
  • Topic 2: Automating Deployments with Ansible
  • Topic 3: Container Orchestration with Kubernetes

  • Topic 1: Setting Up Jenkins or GitLab CI/CD
  • Topic 2: Creating Pipeline Jobs and Workflows
  • Topic 3: Automated Testing and Deployment Strategies

  • Topic 1: Log Management and Analysis
  • Topic 2: Real-time Monitoring with Prometheus
  • Topic 3: Incident Response and Alerting

  • Topic 1: DevSecOps Principles and Best Practices
  • Topic 2: Security Scanning and Vulnerability Management
  • Topic 3: Identity and Access Management (IAM)

  • Topic 1: Automated Deployment Pipelines
  • Topic 2: Scalable Infrastructure Design
  • Topic 3: Disaster Recovery and Business Continuity
Software Engineering Syllabus

Modules

  • Topic 1: Understanding Software Development Lifecycle
  • Topic 2: Exploring Software Development Models
  • Topic 3: Setting Up Your Development Environment

  • Topic 1: Learning Programming Languages (e.g., Java, Python)
  • Topic 2: Data Structures and Algorithms
  • Topic 3: Object-Oriented Programming (OOP)

  • Topic 1: Software Architecture Patterns
  • Topic 2: Design Principles and Patterns
  • Topic 3: UML and Software Modeling
  • Topic 4: Designing for Scalability and Performance

  • Topic 1: Relational Database Management Systems (RDBMS)
  • Topic 2: NoSQL Databases
  • Topic 3: Database Design and Normalization

  • Topic 1: Front-End Development (HTML, CSS, JavaScript)
  • Topic 2: Server-Side Development (e.g., Node.js, Django)
  • Topic 3: API Development
  • Topic 4: Web Security and Authentication

  • Topic 1: Manual and Automated Testing
  • Topic 2: Test-driven Development (TDD)
  • Topic 3: Continuous Integration and Testing

  • Topic 1: Project Planning and Estimation
  • Topic 2: Agile and Scrum Methodologies
  • Topic 3: Version Control with Git
  • Topic 4: Software Documentation and Collaboration Tools

  • Topic 1: Developing a Web Application
  • Topic 2: Building Mobile Apps
  • Topic 3: Enterprise Software Development
  • Topic 4: Open-Source Contributions
Software Testing Syllabus

Modules

  • Topic 1:Understanding Software Testing Concepts
  • Topic 2:Types of Testing: Manual vs. Automated
  • Topic 3:Importance of Quality Assurance

  • Topic 1: Learning Programming Languages (e.g., Java, Python)
  • Topic 2: Data Structures and Algorithms
  • Topic 3: Object-Oriented Programming (OOP)

  • Topic 1: Software Architecture Patterns
  • Topic 2: Design Principles and Patterns
  • Topic 3: UML and Software Modeling
  • Topic 4: Designing for Scalability and Performance

  • Topic 1: Relational Database Management Systems (RDBMS)
  • Topic 2: NoSQL Databases
  • Topic 3: Database Design and Normalization

  • Topic 1: Front-End Development (HTML, CSS, JavaScript)
  • Topic 2: Server-Side Development (e.g., Node.js, Django)
  • Topic 3: API Development
  • Topic 4: Web Security and Authentication

  • Topic 1: Manual and Automated Testing
  • Topic 2: Test-driven Development (TDD)
  • Topic 3: Continuous Integration and Testing

  • Topic 1: Project Planning and Estimation
  • Topic 2: Agile and Scrum Methodologies
  • Topic 3: Version Control with Git
  • Topic 4: Software Documentation and Collaboration Tools

  • Topic 1: Developing a Web Application
  • Topic 2: Building Mobile Apps
  • Topic 3: Enterprise Software Development
  • Topic 4: Open-Source Contributions
Network Programming Syllabus

Modules

  • Topic 1:Understanding Network Protocols
  • Topic 2:Introduction to Socket Programming
  • Topic 3:Working with TCP/IP Protocol

  • Topic 1: TCP/IP and UDP Protocol Implementation
  • Topic 2: Custom Protocol Design
  • Topic 3: Packet Analysis and Wireshark

  • Topic 1: Secure Socket Layer (SSL) and Transport Layer Security (TLS)
  • Topic 2: Cryptography and Public Key Infrastructure (PKI)

  • Topic 1: RESTful API Development
  • Topic 2: SOAP and Web Services
  • Topic 3: API Security and OAuth

  • Topic 1: Scripting with Python and Network Automation
  • Topic 2: Software-Defined Networking (SDN)

  • Topic 1: Network Virtualization and Cloud Networking
  • Topic 2: Container Orchestration (e.g., Kubernetes)

  • Topic 1: Building Networked Applications
  • Topic 2: Implementing Secure VPN Solutions
  • Topic 3: Network Automation Projects