IoT and Embedded Systems

1 / 20

Future Trends in IoT: Explore emerging trends in IoT, such as edge computing and 5G connectivity.

2 / 20

IoT Mobile App: Develop a mobile application for monitoring and controlling IoT devices.

3 / 20

IoT Automation: Create IoT-based automation scenarios (e.g., smart home automation).

4 / 20

IoT Project Proposal: Propose an original IoT project idea, including goals and requirements.

5 / 20

IoT Project Implementation: Build and document an IoT project, demonstrating the application of IoT principles.

6 / 20

IoT Challenges: Discuss challenges related to IoT deployment, such as scalability and security.

7 / 20

Data Analytics: Analyze IoT data using tools like Python and Jupyter Notebook.

8 / 20

IoT Security Best Practices: Explain best practices for securing IoT devices and networks.

9 / 20

Device Authentication: Implement device authentication and access control mechanisms for IoT devices.

10 / 20

Cloud IoT Services: Use cloud-based IoT platforms (e.g., AWS IoT, Azure IoT) to manage IoT devices and data.

11 / 20

IoT Data Visualization: Create dashboards for visualizing real-time IoT data.

12 / 20

Sensor Interfacing: Interface different sensors (e.g., temperature, humidity, motion) with an IoT device.

13 / 20

IoT Protocols: Explore common IoT communication protocols (e.g., MQTT, CoAP) and their use cases.

14 / 20

Bluetooth and Wi-Fi: Configure Bluetooth and Wi-Fi modules for IoT applications.

15 / 20

LoRaWAN: Set up a LoRaWAN network for long-range IoT communication.

16 / 20

Data Ingestion: Develop a data ingestion pipeline for collecting sensor data from multiple devices.

17 / 20

Understanding IoT: Explain the concept of IoT and its applications in various industries.

18 / 20

Embedded Systems Basics: Define embedded systems, their components, and their role in IoT.

19 / 20

IoT vs. Traditional Systems: Compare IoT systems with traditional computing systems, highlighting key differences.

20 / 20

Microcontrollers: Program a microcontroller (e.g., Arduino, Raspberry Pi) to collect sensor data.

Your score is

The average score is 0%

0%

Cybersecurity Threats, Encryption, Security Best Practices

1 / 20

  • Security Awareness Program: Create a security awareness program for employees, including training materials.

2 / 20

Phishing Simulation: Conduct a phishing simulation exercise to test employees' awareness.

3 / 20

Web Application Firewall (WAF): Configure a WAF to protect web applications from attacks.

4 / 20

  • Digital Forensics: Conduct a basic digital forensics analysis on a compromised system.

5 / 20

Penetration Testing: Perform a penetration test on a web application, identifying vulnerabilities.

6 / 20

  • Role-Based Access Control (RBAC): Implement RBAC policies to control user access to resources.

7 / 20

Cloud Security Assessment: Assess the security of a cloud environment and provide recommendations.

8 / 20

  • Multi-Factor Authentication (MFA): Set up and require MFA for accessing critical systems or applications.

9 / 20

Cloud Security Best Practices: Explain best practices for securing data and applications in the cloud.

10 / 20

  • Incident Response Plan: Develop an incident response plan, including steps to follow during a security incident.

11 / 20

  • Virtual Private Networks (VPNs): Configure a VPN for secure remote access to a network.

12 / 20

  • Antivirus and Anti-Malware: Install and evaluate antivirus and anti-malware software.

13 / 20

  • Endpoint Encryption: Encrypt data on an endpoint device (e.g., laptop) to protect sensitive information.

14 / 20

Compliance Auditing: Conduct a compliance audit to ensure adherence to cybersecurity policies and regulations.

15 / 20

Security Policy Development: Develop a comprehensive cybersecurity policy for an organization.

16 / 20

  • Cybersecurity Fundamentals: Explain the basic principles of cybersecurity and its importance in the digital age.

17 / 20

  • Security Threats: Research and present common cybersecurity threats (e.g., malware, phishing) with real-world examples.

18 / 20

  • Security Terminology: Define key cybersecurity terms and concepts (e.g., firewall, encryption).

19 / 20

  • Firewall Configuration: Configure a network firewall to allow or deny specific traffic and explain the rules.

20 / 20

  • Intrusion Detection Systems (IDS): Set up an IDS to monitor network traffic and detect suspicious activities.

Your score is

The average score is 0%

0%

Blockchain and Cryptocurrency

1 / 20

  • Impact of Blockchain on Industries: Analyze how blockchain technology is disrupting various industries (e.g., finance, healthcare).

2 / 20

  • Cryptocurrency Regulations: Research and summarize cryptocurrency regulations in your region.

3 / 20

  • Cryptocurrency Scams: Identify and avoid common cryptocurrency scams and frauds.

4 / 20

  • Blockchain Security: Discuss common security risks and best practices for securing blockchain networks.

5 / 20

  • Cryptocurrency Trading Strategies: Research and describe different cryptocurrency trading strategies (e.g., day trading, HODLing).

6 / 20

  • Token Standards: Explore token standards like ERC-20 and ERC-721.

7 / 20

  • Supply Chain on Blockchain: Research and present a use case for implementing a supply chain solution on a blockchain.

8 / 20

  • Voting Systems: Discuss the potential benefits and challenges of using blockchain in voting systems.

9 / 20

  • Identity Verification: Explore how blockchain can be used for identity verification and management.

10 / 20

  • Using a Cryptocurrency Exchange: Sign up for a cryptocurrency exchange, deposit funds, and make a trade.

11 / 20

  • Smart Contracts: Write and deploy a simple smart contract on a blockchain platform like Ethereum.

12 / 20

  • Blockchain Consensus Algorithms: Research and compare various consensus algorithms (e.g., Proof of Work, Proof of Stake).

13 / 20

  • Creating a Wallet: Set up a cryptocurrency wallet and understand the concept of private keys.

14 / 20

  • Transaction Verification: Verify and explore cryptocurrency transactions on a blockchain explorer.

15 / 20

  • ICOs and Token Creation: Explain what ICOs are and how tokens are created and distributed.

16 / 20

  • Understanding Blockchain: Explain the core concepts of blockchain technology and its significance.

17 / 20

  • Blockchain vs. Traditional Databases: Compare and contrast blockchain with traditional database systems.

18 / 20

  • Cryptocurrency Basics: Define cryptocurrencies, explore their history, and understand how they work.

19 / 20

  • Blockchain Architecture: Describe the architecture of a blockchain network, including nodes, blocks, and consensus algorithms.

20 / 20

  • Public vs. Private Blockchains: Explain the differences between public and private blockchain networks.

Your score is

The average score is 0%

0%

Machine Learning and AI

1 / 20

  • AI Ethics: Discuss ethical considerations in AI, including transparency and fairness.

2 / 20

  • Bias in AI: Explore and mitigate bias in AI models and datasets.

3 / 20

  • Model Deployment: Deploy a trained ML model as a RESTful API for predictions.

4 / 20

  • Hyperparameter Tuning: Optimize hyperparameters of ML models using techniques like grid search or random search.

5 / 20

  • Sentiment Analysis: Build a sentiment analysis model for analyzing text sentiment.

6 / 20

  • Dimensionality Reduction: Apply dimensionality reduction techniques (e.g., PCA) to simplify data.

7 / 20

  • Neural Network Basics: Create a simple feedforward neural network for a specific task.

8 / 20

  • Convolutional Neural Networks (CNNs): Build a CNN for image classification.

9 / 20

  • Recurrent Neural Networks (RNNs): Implement an RNN for sequence data (e.g., text).

10 / 20

  • Text Preprocessing: Preprocess text data for NLP tasks (e.g., tokenization, stop-word removal).

11 / 20

  • Data Scaling: Scale and normalize data for use in ML models.

12 / 20

  • Linear Regression: Implement and evaluate a simple linear regression model.

13 / 20

  • Classification: Build a classification model (e.g., logistic regression, decision tree) for a given dataset.

14 / 20

  • Model Evaluation: Use metrics like accuracy, precision, and recall to evaluate classification models.

15 / 20

  • Clustering: Perform clustering using algorithms like K-Means or DBSCAN.

16 / 20

  • Understanding ML and AI: Explain the concepts of Machine Learning and Artificial Intelligence and their applications.

17 / 20

  • Types of ML: Differentiate between supervised, unsupervised, and reinforcement learning.

18 / 20

  • AI vs. ML vs. Deep Learning: Compare and contrast AI, ML, and Deep Learning.

19 / 20

  • Data Cleaning: Preprocess a dataset by handling missing values and outliers.

20 / 20

  • Feature Selection: Apply feature selection techniques to choose relevant features for modeling.

Your score is

The average score is 0%

0%

Monitoring and Logging Prometheus, Grafana, ELK Stack

1 / 20

  • APM Tools: Research and choose an APM tool (e.g., New Relic, AppDynamics).

2 / 20

  • Incident Response: Develop an incident response plan based on monitoring alerts.

3 / 20

  • Instrumentation: Instrument your application with APM agents for detailed performance insights.

4 / 20

  • Custom Dashboards: Create custom monitoring dashboards tailored to your application.

5 / 20

  • Visualization: Design visually informative graphs and charts to represent monitoring data effectively.

6 / 20

  • Choosing Log Management Tools: Research and compare log management tools (e.g., ELK Stack, Splunk).

7 / 20

  • Setting Up Log Management: Install and configure a log management tool in a test environment.

8 / 20

  • Centralized Log Collection: Implement centralized log collection from multiple application instances.

9 / 20

  • Log Aggregation: Aggregate logs from various sources and analyze them in one place.

10 / 20

  • Security Events: Set up monitoring for security-related events and potential threats.

11 / 20

  • Setting Up Basic Monitoring: Configure basic system monitoring to track CPU, memory, and disk usage.

12 / 20

  • Alerting Policies: Define alerting policies based on specific thresholds for resource utilization.

13 / 20

  • Email Alerts: Configure email alerts to be notified when an alert is triggered.

14 / 20

  • Custom Metrics: Implement custom metrics and instrumentation in your application.

15 / 20

  • Complex Alerting Conditions: Create alerts based on more complex conditions, such as anomaly detection.

16 / 20

  • Understanding Monitoring and Logging: Explain the importance of monitoring and logging in software systems.

17 / 20

  • Key Metrics: Identify and list the essential performance metrics to monitor in a typical application.

18 / 20

  • Logging Best Practices: Describe best practices for effective logging in applications.

19 / 20

  • Choosing Monitoring Tools: Research and compare popular monitoring tools (e.g., Prometheus, Nagios, Datadog).

20 / 20

  • Installing Monitoring Tools: Install and configure a monitoring tool of your choice in a test environment.

Your score is

The average score is 0%

0%

Version Control and GIT GIT basis

1 / 20

  • Git Hooks: Implement Git hooks for custom actions during Git events (e.g., pre-commit, post-commit).

2 / 20

  • Git Workflow: Choose and describe a Git workflow (e.g., feature branching, Gitflow) and follow it in your project.

3 / 20

  • Forking Repositories: Fork a repository, make changes, and create a pull request to contribute to an open-source project.

4 / 20

  • Pull Requests: Create a pull request on GitHub (or similar platforms) and review a colleague's code.

5 / 20

  • Interactive Rebase: Use interactive rebase to squash, reorder, or edit commits.

6 / 20

  • Tagging and Releases: Create tags to mark specific points in your project's history.

7 / 20

  • Git Ignore: Create a .gitignore file to exclude certain files from version control.

8 / 20

  • Working with Remotes: Configure and manage remote repositories, such as GitHub or GitLab.

9 / 20

  • Pulling Changes: Pull changes from a remote repository to your local machine.

10 / 20

  • Pushing Changes: Push your local changes to a remote repository.

11 / 20

  • Basic Git Commands: Familiarize yourself with basic Git commands such as init, add, commit, and status.

12 / 20

  • Branching Basics: Learn about Git branches, create branches, and switch between them.

13 / 20

  • Merging Branches: Merge branches together using merge and resolve conflicts.

14 / 20

  • Branch Management: List, rename, and delete branches as needed.

15 / 20

  • Cloning Repositories: Clone a remote Git repository to your local machine.

16 / 20

  • Understanding Version Control: Explain the concept of version control and its importance in software development.

17 / 20

  • History of Version Control: Research and present a brief history of version control systems.

18 / 20

  • Installing Git: Install Git on your local machine and verify the installation.

19 / 20

  • Configuring Git: Set up your Git identity with your name and email address.

20 / 20

  • Creating a Repository: Create a local Git repository for a sample project.

Your score is

The average score is 0%

0%

Continuous Integration and Continuous Deployment

1 / 20

  • Vulnerability Management: Develop a process for managing and addressing vulnerabilities found in your code.

2 / 20

  • Infrastructure as Code (IaC): Implement infrastructure provisioning and management using IaC tools like Terraform or AWS CloudFormation.

3 / 20

  • Container Orchestration: Set up container orchestration (e.g., Kubernetes) for deploying and scaling applications.

4 / 20

  • Pipeline as Code: Write pipeline configurations as code (e.g., Jenkinsfile, .gitlab-ci.yml) for versioning and automation.

5 / 20

  • Multi-Environment Deployment: Implement CD pipelines for multiple environments (e.g., development, staging, production).

6 / 20

  • Basic CD Pipeline: Set up a CD pipeline that deploys code changes to a staging environment automatically.

7 / 20

  • Deployment Strategies: Explore various deployment strategies (e.g., blue-green, canary) and choose one for your project.

8 / 20

  • Monitoring Tools: Configure monitoring tools (e.g., Prometheus, Grafana) to track application performance.

9 / 20

  • Alerting: Implement alerting rules in your monitoring system and set up notifications.

10 / 20

  • Security Scanning: Integrate security scanning tools (e.g., OWASP ZAP, Snyk) into your CI/CD pipeline.

11 / 20

  • Artifact Management: Implement artifact management in your CI pipeline to store and version artifacts.

12 / 20

  • Unit Testing: Write unit tests for your project and integrate them into the CI pipeline.

13 / 20

  • Integration Testing: Implement integration tests and automate their execution in the CI pipeline.

14 / 20

  • Code Linting: Configure code linters (e.g., ESLint, Pylint) in your CI pipeline to enforce coding standards.

15 / 20

  • Code Coverage: Integrate code coverage tools (e.g., Istanbul, JaCoCo) into your CI pipeline to measure test coverage.

16 / 20

  • Understanding CI/CD: Explain the concepts of Continuous Integration and Continuous Deployment.

17 / 20

  • Benefits of CI/CD: List and discuss the advantages of implementing CI/CD in software development.

18 / 20

  • Choosing a CI/CD Tool: Research and compare popular CI/CD tools like Jenkins, Travis CI, CircleCI, and GitLab CI.

19 / 20

  • Installing CI/CD Tools: Install and configure a CI/CD tool of your choice in a test environment.

20 / 20

  • Creating a Simple CI Pipeline: Set up a basic CI pipeline that runs unit tests and linters on code commits.

Your score is

The average score is 0%

0%

Introduction to DevOps

1 / 20

  • DevOps Best Practices: Summarize key DevOps best practices and principles for successful implementation.

2 / 20

  • Monitoring Tools: Set up monitoring using tools like Prometheus.

3 / 20

  • Log Management: Implement log management and analysis using ELK Stack (Elasticsearch, Logstash, Kibana).

4 / 20

  • DevSecOps: Integrate security practices into the DevOps pipeline.

5 / 20

  • Vulnerability Scanning: Use vulnerability scanning tools to identify and address security issues.

6 / 20

  • CI/CD Tool Selection: Evaluate and select appropriate CI/CD tools for specific project requirements.

7 / 20

  • Deployment Pipelines: Design deployment pipelines for automatically delivering software to production or staging environments.

8 / 20

  • Introduction to IaC: Explain the concept of Infrastructure as Code and its benefits.

9 / 20

  • Using Terraform: Create infrastructure resources using Terraform.

10 / 20

  • Docker Fundamentals: Learn the basics of Docker containers, including container creation and management.

11 / 20

  • Container Orchestration: Explore container orchestration tools like Kubernetes.

12 / 20

  • Git Basics: Learn the fundamentals of Git version control, including cloning repositories and creating branches.

13 / 20

  • Collaborative Workflows: Describe collaborative workflows using Git, such as pull requests and code reviews.

14 / 20

  • Setting Up CI: Configure a CI/CD pipeline using popular CI tools like Jenkins, Travis CI, or GitLab CI.

15 / 20

  • Automated Testing: Implement automated testing within the CI pipeline to catch code defects early.

16 / 20

  • Continuous Delivery vs. Continuous Deployment: Compare and contrast continuous delivery and continuous deployment practices.

17 / 20

  • Introduction to DevOps: Define DevOps and explain its significance in modern software development.

18 / 20

  • DevOps Culture: Describe the cultural aspects of DevOps and how it promotes collaboration between development and operations teams.

19 / 20

  • DevOps Practices: List key DevOps practices such as continuous integration, continuous delivery, and automation.

20 / 20

  • DevOps Benefits: Explain the benefits of adopting DevOps, including faster delivery and improved quality.

Your score is

The average score is 0%

0%

Wrong shortcode initialized

Big Data And Data Warehouse

1 / 20

  • Data Warehouse Performance Tuning: Optimize the performance of a data warehouse by tuning queries and indexes.

2 / 20

  • Data Partitioning: Implement data partitioning strategies to improve data retrieval speed.

3 / 20

  • Data Governance Practices: Establish data governance practices and policies for Big Data and data warehousing.

4 / 20

  • Data Security: Implement data security measures to protect sensitive information in a data warehouse.

5 / 20

  • Data Visualization: Use data visualization tools (e.g., Tableau, Power BI) to create meaningful insights from Big Data.

6 / 20

  • Columnar Storage: Learn about columnar storage and its benefits in Big Data analytics.

7 / 20

  • Distributed File Systems: Compare and contrast distributed file systems like HDFS and Amazon S3.

8 / 20

  • Apache Spark: Perform data processing and analysis using Apache Spark.

9 / 20

  • Batch Processing: Design and run batch processing jobs in a Big Data environment.

10 / 20

  • Real-time Stream Processing: Implement real-time stream processing using Apache Kafka and Spark Streaming.

11 / 20

  • Data Warehousing Concepts: Explain the purpose and benefits of data warehousing.

12 / 20

  • Data Warehouse Design: Design a data warehouse schema for a specific business scenario.

13 / 20

  • ETL Processes: Implement Extract, Transform, Load (ETL) processes to populate a data warehouse.

14 / 20

  • Data Warehouse Tools: Explore and compare data warehousing tools (e.g., Amazon Redshift, Google BigQuery).

15 / 20

  • NoSQL Databases: Set up and work with a NoSQL database (e.g., MongoDB, Cassandra).

16 / 20

  • Introduction to Big Data: Explain the concepts and challenges of Big Data, including volume, velocity, variety, and veracity.

17 / 20

  • Big Data Technologies: Research and compare popular Big Data technologies (e.g., Hadoop, Spark, Flink).

18 / 20

  • Hadoop Basics: Install Hadoop and perform basic operations, such as file storage and retrieval.

19 / 20

  • HDFS and MapReduce: Learn about Hadoop Distributed File System (HDFS) and write MapReduce programs.

20 / 20

  • Spark Basics: Set up Spark and run basic Spark applications.

Your score is

The average score is 0%

0%

Database Designing and Management

1 / 20

  • Security and Access Control: Set up user accounts, roles, and permissions to control access to database resources.

2 / 20

  • Performance Tuning: Optimize the performance of a database by analyzing query execution plans.

3 / 20

  • Database Backup and Recovery: Implement backup and recovery procedures for a relational database.

4 / 20

  • Deleting Records: Remove data from tables using SQL DELETE statements.

5 / 20

  • Updating Records: Modify existing data using SQL UPDATE statements.

6 / 20

  • Indexes: Create and manage indexes to improve query performance.

7 / 20

  • Joins and Relationships: Write SQL JOIN operations to retrieve data from multiple related tables.

8 / 20

  • Retrieving Data: Write SQL SELECT statements to retrieve specific data from tables.

9 / 20

  • Filtering Data: Use SQL WHERE clauses to filter data based on specific conditions.

10 / 20

  • Sorting Data: Sort query results using SQL ORDER BY clauses.

11 / 20

  • Entity-Relationship Diagram (ERD): Create an ERD to model the relationships between entities in a database.

12 / 20

  • Normalization: Explain the concept of normalization and apply it to a database schema.

13 / 20

  • Denormalization: Explore scenarios where denormalization may be appropriate in database design.

14 / 20

  • Data Modeling: Design a database schema for a specific application or use case.

15 / 20

  • Primary Keys and Foreign Keys: Define primary keys and foreign keys in database tables.

16 / 20

  • Introduction to Databases: Research and explain the fundamental concepts of databases, including tables, rows, and columns.

17 / 20

  • Database Models: Compare and contrast various database models, such as relational, NoSQL, and object-oriented databases.

18 / 20

  • SQL Basics: Write SQL queries to retrieve data from a relational database.

19 / 20

  • Creating Tables: Create tables in a relational database to store different types of data.

20 / 20

  • Inserting Data: Populate database tables with sample data using SQL INSERT statements.

Your score is

The average score is 0%

0%

Introduction to Database

1 / 19

  • Entity-Relationship Diagrams (ERDs): Create ERDs to model database schemas.

2 / 19

  • Normalization: Explain the concept of normalization and apply it to a database schema.

3 / 19

  • Data Modeling: Design a database schema for a specific application or use case.

4 / 19

  • Aggregation: Use SQL aggregate functions (e.g., SUM, COUNT) to perform calculations on data.

5 / 19

  • Subqueries: Write SQL subqueries to retrieve data from nested queries.

6 / 19

  • Joins and Relationships: Explore SQL JOIN operations to retrieve data from multiple related tables.

7 / 19

  • Introduction to NoSQL: Research and explain the concepts and advantages of NoSQL databases.

8 / 19

  • Document Databases: Set up and work with a document-oriented NoSQL database (e.g., MongoDB).

9 / 19

  • Key-Value Stores: Explore key-value stores in NoSQL databases (e.g., Redis) and implement basic operations.

10 / 19

  • Column-Family Stores: Learn about column-family stores in NoSQL databases (e.g., Apache Cassandra).

11 / 19

  • Retrieving Data: Write SQL SELECT statements to retrieve specific data from tables.

12 / 19

  • Filtering Data: Use SQL WHERE clauses to filter data based on specific conditions.

13 / 19

  • Sorting Data: Sort query results using SQL ORDER BY clauses.

14 / 19

  • Updating Records: Modify existing data using SQL UPDATE statements.

15 / 19

  • Deleting Records: Remove data from tables using SQL DELETE statements.

16 / 19

  • Database Fundamentals: Research and explain the fundamental concepts of databases, including tables, rows, and columns.

17 / 19

SQL Basics: Write SQL queries to retrieve data from a relational database.

18 / 19

  • Creating Tables: Create tables in a relational database to store different types of data.

19 / 19

  • Inserting Data: Populate database tables with sample data using SQL INSERT statements.

Your score is

The average score is 0%

0%

Cross-Platform Mobile Development

1 / 20

Unit Testing: Write unit tests for critical parts of your app's functionality.

2 / 20

Debugging Tools: Learn and use debugging tools provided by your framework.

3 / 20

App Performance: Optimize your app for speed and responsiveness.

4 / 20

Memory Management: Implement memory management techniques to prevent memory leaks.

5 / 20

App Deployment: Prepare and deploy your cross-platform app to app stores (e.g., Apple App Store, Google Play Store).

6 / 20

Geolocation: Access and use the device's GPS for location-based features.

7 / 20

List Views: Create dynamic lists or grids using list views or grid views.

8 / 20

Custom UI Components: Design and use custom UI components or widgets in your app.

9 / 20

State Management: Explore state management techniques in your chosen framework (e.g., Redux, MobX).

10 / 20

Data Binding: Use data binding to update UI components when data changes.

 

11 / 20

Navigation Basics: Implement basic navigation between screens or views in your app.

12 / 20

Tab Navigation: Create a tab navigation interface for your app.

13 / 20

Data Storage: Use local storage or databases to store and retrieve data within your app.

14 / 20

API Integration: Make HTTP requests to consume data from a remote API.

15 / 20

Camera Integration: Implement camera functionality for capturing photos or videos.

16 / 20

Introduction to Cross-Platform: Research and explain the concept of cross-platform mobile development and its advantages.

17 / 20

Choosing a Framework: Explore and compare popular cross-platform development frameworks (e.g., React Native, Flutter, Xamarin).

18 / 20

Setting Up the Development Environment: Install the necessary tools and SDKs for cross-platform development.

19 / 20

Hello World App: Create a simple "Hello World" app using your chosen cross-platform framework.

20 / 20

UI Components: Build an app with various UI components, such as buttons, text fields, and images.

Your score is

The average score is 0%

0%

iOS App Development

1 / 20

App Publishing: Prepare and publish your iOS app to the Apple App Store.

2 / 20

Unit Testing: Write unit tests to ensure code reliability.

3 / 20

MVC or MVVM: Implement an architectural pattern (Model-View-Controller or Model-View-ViewModel) in your app.

4 / 20

Custom UI Components: Design and integrate custom UI components or controls.

5 / 20

Collection Views: Implement grid or custom layouts using UICollectionView or Grid in SwiftUI.

6 / 20

Table Views: Create dynamic lists and tables using UITableView or List in SwiftUI.

7 / 20

Audio Playback: Add audio playback features for music or sound effects.

8 / 20

Device Sensors: Utilise device sensors like the accelerometer, gyroscope, or GPS.

9 / 20

Camera Integration: Implement camera functionality for capturing photos or videos.

10 / 20

Maps Integration: Integrate Apple Maps to display locations or provide directions.

11 / 20

Networking: Make HTTP requests to fetch data from a remote server or API.

12 / 20

Auto Layout: Learn and practice Auto Layout to ensure your app looks great on different iOS devices.

13 / 20

Navigation Controllers: Implement navigation between multiple screens using navigation controllers.

14 / 20

Tab Bar Interface: Create a tab bar-based app for easy navigation.

15 / 20

User Input Handling: Capture and respond to user interactions like taps, swipes, and gestures.

16 / 20

Data Storage: Store and retrieve data using Core Data, User Defaults, or file storage.

17 / 20

Setting Up Xcode: Install Xcode, the official IDE for iOS development, and set up your development environment.

18 / 20

Creating Your First App: Build a basic "Hello World" iOS app and run it in the iOS Simulator.

19 / 20

UI Layout: Create different UI layouts using Storyboards or SwiftUI.

20 / 20

User Interface Elements: Add UI elements such as labels, buttons, and text fields to your app's interface.

Your score is

The average score is 0%

0%

Android App Developmet

1 / 20

App Publishing: Prepare and publish your Android app to the Google Play Store.

2 / 20

User Authentication: Implement secure user authentication and authorization.

3 / 20

Local Database Encryption: Encrypt sensitive data stored in your app's local database.

4 / 20

Unit Testing: Write unit tests for critical parts of your app's functionality.

5 / 20

MVC/MVVM Architecture: Implement an architectural pattern (e.g., Model-View-Controller or Model-View-ViewModel) in your app.

6 / 20

Custom Views: Build custom UI components or views for your app.

7 / 20

RecyclerView: Create a RecyclerView to display dynamic lists of data.

8 / 20

Sensor Data: Use device sensors (e.g., accelerometer, gyroscope) to enhance app functionality.

9 / 20

Location-Based Services: Utilize the device's GPS to access location information.

10 / 20

Camera Integration: Implement camera functionality in your app for capturing photos or videos.

11 / 20

User Input: Implement forms and input fields to collect data from users.

12 / 20

Navigation: Create navigation within your app, including activities and fragments.

13 / 20

Data Storage: Save and retrieve data using Shared Preferences or SQLite databases.

14 / 20

HTTP Requests: Make HTTP requests to a remote server or consume data from a public API.

15 / 20

JSON Parsing: Parse JSON data retrieved from an API and display it in your app.

16 / 20

Setting Up Android Studio: Install Android Studio and set up the Android development environment.

17 / 20

Creating Your First App: Build a simple "Hello World" Android app and run it on an emulator or physical device.

18 / 20

Layouts and Views: Create various layouts and incorporate widgets (buttons, text views, etc.) into your app.

19 / 20

Responsive UI: Make your app's user interface responsive to different screen sizes and orientations.

20 / 20

UI Design Challenge: Design a user interface for a specific use case or scenario.

Your score is

The average score is 0%

0%

Introduction to Mobile App Deelopment

1 / 20

Security Best Practices: Explore security best practices for mobile app development, including data encryption and secure authentication.

2 / 20

App Updates: Plan and implement an update for your app, including version management.

3 / 20

Monetization Strategies: Research and outline various app monetization strategies (e.g., ads, in-app purchases, subscription models).

4 / 20

Analytics Integration: Integrate analytics tools (e.g., Google Analytics, Firebase Analytics) to track user behavior within your app.

5 / 20

Performance Analysis: Analyze and optimize your app's performance, focusing on speed, responsiveness, and resource usage.

6 / 20

Battery Optimization: Implement strategies to minimize battery consumption by your app.

7 / 20

Usability Testing: Conduct usability testing with potential users and document feedback.

8 / 20

User Feedback: Integrate a feedback mechanism within your app (e.g., feedback form, rating system).

9 / 20

Cross-Platform Tools: Explore cross-platform development tools like React Native or Flutter and create a simple cross-platform app.

10 / 20

App Deployment: Deploy your app to a simulator or a physical device for testing.

11 / 20

App Store Submission: Prepare and submit your app to an app store (e.g., Apple App Store, Google Play Store).

12 / 20

Navigation: Implement navigation between multiple screens or views within your app.

13 / 20

User Input: Add interactive elements such as buttons, text fields, and checkboxes to collect user input.

14 / 20

Data Storage: Implement data storage mechanisms like local storage or databases to save user data.

15 / 20

Networking: Incorporate network requests to fetch data from a remote server or API.

16 / 20

Device Features: Utilise device features like camera, location, and sensors in your app.

17 / 20

Exploring Mobile Platforms: Research and compare different mobile platforms (e.g., iOS, Android, cross-platform) and their pros and cons.

18 / 20

Setting Up the Development Environment: Install and set up the development environment for the chosen platform (e.g., Xcode for iOS, Android Studio for Android).

19 / 20

Creating Your First App: Build a simple "Hello World" app for the selected platform.

20 / 20

UI Layout: Design and implement the user interface for a basic app, including screens, layouts, and widgets.

Your score is

The average score is 0%

0%

Server less Computing And Containers

1 / 20

Container CI/CD: Set up a CI/CD pipeline for containerized applications, including image building and deployment to a Kubernetes cluster.

2 / 20

Serverless CI/CD: Create a CI/CD pipeline for serverless functions, automating deployment and testing.

3 / 20

Container Security: Investigate container security best practices, such as image scanning and runtime security.

4 / 20

Serverless Security: Explore best practices for securing serverless functions, including proper IAM roles and permissions.

5 / 20

Container Orchestration Monitoring: Implement monitoring and logging for your containerized applications in a Kubernetes cluster.

6 / 20

Serverless Monitoring: Set up monitoring and alerting for your serverless functions using cloud provider tools (e.g., AWS CloudWatch, Azure Monitor).

7 / 20

Microservices with Containers: Implement a microservices architecture using containers and manage inter-service communication.

8 / 20

Serverless and API Gateway: Create a serverless API using a serverless framework and connect it to an API gateway (e.g., AWS API Gateway).

9 / 20

Performance Comparison: Conduct performance benchmarks between a serverless function and a containerized application performing the same task.

10 / 20

Comparing Use Cases: Analyze and compare use cases where serverless functions are more suitable than containerized applications and vice versa.

11 / 20

Scaling Containers: Configure automatic scaling for your containerized application based on CPU utilization.

12 / 20

Container Registry: Create a container registry (e.g., Docker Hub, Google Container Registry) and push your container images.

13 / 20

Container Orchestration: Set up a Kubernetes cluster and deploy containers to it.

14 / 20

Docker Compose: Create a multi-container application using Docker Compose to manage multiple services.

15 / 20

Docker Basics: Install Docker and create a Docker container for a simple application.

16 / 20

Serverless Authentication: Implement authentication and authorization for your serverless functions.

17 / 20

Event Triggers: Set up an event trigger for your serverless function (e.g., HTTP trigger, file upload trigger, timer trigger).

18 / 20

Serverless Deployment: Deploy a serverless function to your chosen cloud provider (e.g., AWS Lambda, Azure Functions, Google Cloud Functions).

19 / 20

Serverless Frameworks: Install and set up a serverless framework (e.g., AWS Serverless Application Model, Azure Functions) and create a simple serverless function.

20 / 20

Introduction to Serverless: Research and write a brief report on the concept and benefits of serverless computing.

Your score is

The average score is 0%

0%

Deploying Applications on Cloud

Deploying Applications on Cloud

1 / 20

Disaster Recovery: Implement a disaster recovery plan to recover from data loss or service outages.

2 / 20

Multi-Region Deployment: Deploy your application in multiple regions to ensure high availability.

3 / 20

Automated Deployment: Automate the deployment process to push code changes to the cloud.

4 / 20

CI/CD Pipeline: Set up a CI/CD pipeline using tools like Jenkins, Travis CI, or GitLab CI/CD.

5 / 20

Data Encryption: Implement encryption at rest and in transit for your application data.

6 / 20

Security Groups: Configure security groups or firewall rules to control network traffic.

7 / 20

Identity and Access Management (IAM): Define roles and permissions for users and applications.

8 / 20

Log Management: Set up log collection and analysis tools to monitor application and server logs.

9 / 20

Monitoring Setup: Configure monitoring and alerting using cloud provider tools (e.g., AWS CloudWatch, Azure Monitor).

10 / 20

Database Backups: Implement automated database backups and restoration procedures.

11 / 20

Object Storage: Use cloud object storage (e.g., AWS S3, Google Cloud Storage) to store and retrieve files.

12 / 20

Load Balancing: Set up load balancing to distribute incoming traffic across multiple instances of your application.

13 / 20

Auto Scaling: Configure auto-scaling for your application to handle varying traffic loads.

14 / 20

Server less Deployment: Deploy a server less application using a cloud functions service (e.g., AWS Lambda, Azure Functions).

15 / 20

Containerization: Containerize your application using Docker and deploy it on a container orchestration platform (e.g., Kubernetes).

16 / 20

Database Deployment: Set up and configure a cloud-based database (e.g., AWS RDS, Azure SQL Database).

17 / 20

Basic Web Application Deployment: Deploy a simple HTML/CSS/JavaScript web application to your VM.

18 / 20

Creating a Virtual Machine: Deploy a virtual machine (VM) in the cloud using your chosen cloud provider's services.

19 / 20

Account Setup: Create an account with your chosen cloud provider and set up billing and payment options.

20 / 20

Cloud Provider Selection: Research and choose a cloud provider (e.g., AWS, Azure, Google Cloud) for your project.

Your score is

The average score is 0%

0%

Introduction to Cloud Service

Introduction to Cloud Service

1 / 20

Auto Scaling: Set up auto-scaling for a web application to handle varying loads.

2 / 20

Resource Tagging: Implement resource tagging for cost allocation.

3 / 20

Security Groups and Firewalls: Configure security groups or network security rules to secure cloud resources.

4 / 20

Cost Estimation: Use cloud provider tools to estimate and monitor costs.

5 / 20

Identity and Access Management (IAM): Create IAM roles and policies to control access to cloud resources.

6 / 20

  • Logging and Analysis: Set up log collection and analysis (e.g., AWS Cloud trail, ELK Stack).

7 / 20

Cloud Monitoring: Configure cloud monitoring and alerting (e.g., AWS CloudWatch, Google Cloud Monitoring).

8 / 20

Event-Driven Architecture: Implement an event-driven architecture using serverless functions.

9 / 20

Serverless Functions: Create and deploy serverless functions (e.g., AWS Lambda, Azure Functions).

10 / 20

Database Backups and Restores: Perform database backups and restores in the cloud.

11 / 20

Database Setup: Set up a cloud-based database (e.g., Amazon RDS, Azure SQL Database).

12 / 20

Web Application Deployment: Deploy a simple web application on a cloud platform (e.g., Heroku, AWS Elastic Beanstalk).

13 / 20

Static Website Hosting: Host a static website on a cloud platform (e.g., AWS S3, GitHub Pages).

14 / 20

Containerization: Learn about containerization technologies like Docker and create a containerized application.

15 / 20

Virtual Machines: Deploy a virtual machine in the cloud and install an operating system.

16 / 20

Cloud Networking: Create and manage virtual networks in the cloud.

17 / 20

Cloud Storage: Set up and configure cloud storage solutions (e.g., Amazon S3, Google Cloud Storage).

18 / 20

Cloud Service Models: Describe the differences between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

19 / 20

Cloud Deployment Models: Explain the differences between public, private, and hybrid cloud deployment models.

20 / 20

Cloud Service Providers: Research and compare major cloud service providers (e.g., AWS, Azure, Google Cloud) and their offerings.

Your score is

The average score is 0%

0%

Android App Development

Android App Development

1 / 20

App Publishing: Prepare and publish your Android app to the Google Play Store.

2 / 20

User Authentication: Implement secure user authentication and authorization.

3 / 20

Local Database Encryption: Encrypt sensitive data stored in your app's local database.

4 / 20

Unit Testing: Write unit tests for critical parts of your app's functionality.

5 / 20

MVC/MVVM Architecture: Implement an architectural pattern (e.g., Model-View-Controller or Model-View-ViewModel) in your app.

6 / 20

Custom Views: Build custom UI components or views for your app.

7 / 20

RecyclerView: Create a RecyclerView to display dynamic lists of data.

8 / 20

Sensor Data: Use device sensors (e.g., accelerometer, gyroscope) to enhance app functionality.

9 / 20

Location-Based Services: Utilize the device's GPS to access location information.

10 / 20

Camera Integration: Implement camera functionality in your app for capturing photos or videos.

11 / 20

JSON Parsing: Parse JSON data retrieved from an API and display it in your app.

12 / 20

HTTP Requests: Make HTTP requests to a remote server or consume data from a public API.

13 / 20

Data Storage: Save and retrieve data using Shared Preferences or SQLite databases.

14 / 20

Navigation: Create navigation within your app, including activities and fragments.