Software Programming - Big Data Trunk

https://project.bigdatatrunk.com Quality Corporate and Classroom Training in Bay Area CA Wed, 06 May 2026 11:33:01 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 No-Code Data Analytics with Generative AI https://project.bigdatatrunk.com/courses/no-code-data-analytics-with-generative-ai/ https://project.bigdatatrunk.com/courses/no-code-data-analytics-with-generative-ai/#respond Fri, 04 Apr 2025 07:36:19 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=58078 In the era of artificial intelligence, data analytics is no longer limited to programmers and data scientists.

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Overview
Prerequisites
Audience
Curriculum

Description:

In the era of artificial intelligence, data analytics is no longer limited to programmers and data scientists. Generative AI empowers professionals to extract insights from data, visualize trends, and make data-driven decisions—without writing a single line of code.

This hands-on course introduces participants to AI-driven no-code analytics tools, including ChatGPT. Attendees will learn how to clean, analyze, and visualize data efficiently, leveraging AI to automate workflows and uncover actionable insights.

By the end of the course, participants will be proficient in using AI-powered no-code tools for data exploration, business intelligence, and predictive analytics.

Duration: 1 Day

Course Code: BDT470

Learning Objectives:

After completing this course, participants will be able to:

Understand the role of AI in modern data analytics.
Use generative AI for data interpretation, analysis, and insights generation.
Leverage AI-powered automation tools for data cleaning and transformation.
Identify trends and patterns in data without coding.
Apply AI-powered data analytics in decision-making processes.

Business Analysts, Product Managers, Knowledge Managers, Content Creators, Consultants, and non-technical professionals who want to leverage AI 1

Gen AI enthusiast

Course Outline:

Introduction to No-Code AI for Data Analytics

The evolution of data analytics and AI’s role
Understanding no-code vs. traditional analytics
Overview of AI-powered no-code tools

Data Preparation and Cleaning with AI

Using AI to clean and structure data
Automated data formatting and transformation
Hands-on: Cleaning datasets with AI

Data Analysis and Insights Generation

Exploring datasets using AI-powered no-code tools
Identifying key trends and anomalies
Hands-on: Generating AI-assisted insights with ChatGPT

Visual Analytics with No-Code AI

Building interactive visualizations
Customizing visualizations and reports
Hands-on: Generating and refining creative visualizations

Predictive Analytics with No-Code AI

Introduction to AI-driven forecasting
Making data-driven predictions without coding
Hands-on: Predictive modeling with no-code AI

Real-World Applications and Best Practices

Case studies: AI-powered data analytics in business
Ethical considerations in AI-driven decision-making
Hands-on: Applying AI-powered data analytics to a real-world dataset

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/no-code-data-analytics-with-generative-ai/feed/ 0 Data Science for Finance https://project.bigdatatrunk.com/courses/data-science-for-finance/ https://project.bigdatatrunk.com/courses/data-science-for-finance/#respond Tue, 01 Apr 2025 12:39:41 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=57943 This 3-day hands-on training bridges the gap between financial domain expertise and data science techniques.

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Overview
Prerequisites
Audience
Curriculum

Description:

This 3-day hands-on training bridges the gap between financial domain expertise and data science techniques. Participants will explore the foundational concepts of data science and their application in finance, including risk modeling, credit scoring, fraud detection, and algorithmic trading. Through a mix of real-world datasets and use cases, learners will use Python and free libraries such as pandas, scikit-learn, and TensorFlow to implement machine learning and deep learning models. Each module includes both conceptual understanding and practical implementation, empowering participants to apply data-driven insights to real-world financial challenges.

Duration: 3 Days

Course Code: BDT48

Learning Objectives:

After this training, participants will be able to:

Describe the role of data science in solving financial problems.
Apply data preprocessing and feature engineering techniques on financial datasets
Implement machine learning models for classification, regression, and anomaly detection.
Analyze model performance using appropriate metrics and improve predictive accuracy.
Develop and evaluate deep learning models for financial forecasting and risk modeling.

Basic knowledge of finance and statistics
Familiarity with Python programming
No prior machine learning experience required

Finance professionals and analysts exploring data science
Aspiring data scientists seeking finance-specific applications
Business analysts looking to apply machine learning in financial decision-making

Course Outline:

Module 1: Introduction to Data Science in Finance

Overview of data science lifecycle
Key challenges in financial data analysis
Exploratory data analysis using pandas and matplotlib
Financial datasets: market data, transactions, credit data
Hands-on: Cleaning and visualizing financial time-series and tabular data

Module 2: Machine Learning Applications in Finance

Supervised vs unsupervised learning in finance
Classification use cases: credit scoring, fraud detection
Regression use cases: stock price prediction, financial forecasting
Clustering use cases: customer segmentation and profiling
Hands-on: Building and evaluating models using scikit-learn
Hands-on: ROC curves, confusion matrix, R-squared, and error metrics

Module 3: Deep Learning and Advanced Use Cases

Introduction to neural networks for financial data
Time-series modeling with LSTM for forecasting
Anomaly detection using autoencoders
Use case: Loan default prediction using TensorFlow/Keras
Hands-on: Deep learning model implementation and evaluation
Best practices for model deployment and explainability (LIME, SHAP)

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/data-science-for-finance/feed/ 0 Prepare for Microsoft Certified Devops Engineer Expert https://project.bigdatatrunk.com/courses/microsoft-certified-devops-engineer-expert-mini-bootcamp/ https://project.bigdatatrunk.com/courses/microsoft-certified-devops-engineer-expert-mini-bootcamp/#respond Tue, 11 Feb 2025 12:49:26 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=55701 The Microsoft Certified DevOps Engineer Expert course equips participants with the skills required to design and implement DevOps strategies that integrate development, operations, and security practices.

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Overview
Prerequisites
Audience
Curriculum

Description:

The Microsoft Certified DevOps Engineer Expert course equips participants with the skills required to design and implement DevOps strategies that integrate development, operations, and security practices. This course focuses on leveraging Azure services and DevOps tools to streamline software delivery, automate workflows, and optimize application performance.

Participants will explore key concepts like continuous integration and delivery, infrastructure as code, monitoring, and feedback mechanisms while applying hands-on practices to solve real-world challenges. By the end of this bootcamp, participants will be prepared to pass the certification exam and apply DevOps best practices in their professional roles.

Duration: 5 Day

Course Code: BDT400

Learning Objectives:

After this course, students will be able to:

Understand DevOps practices and how they align with business objectives
Implement continuous integration and continuous delivery (CI/CD) pipelines using Azure DevOps
Automate infrastructure deployment using tools like Terraform and ARM templates
Manage source control and implement Git workflows
Monitor applications and infrastructure using Azure Monitor and Log Analytics ● Integrate security practices into DevOps pipelines
Perform hands-on labs that reflect real-world DevOps scenarios

Familiarity with Azure cloud services
Basic knowledge of software development lifecycle (SDLC)
Experience with CI/CD concepts and tools

This course is intended for IT professionals, DevOps engineers, cloud architects, and developers aiming to achieve the Microsoft Certified: DevOps Engineer Expert certification. It is ideal for individuals seeking to enhance their skills in DevOps practices, Azure DevOps services, and tools for infrastructure automation and application delivery.

Course Outline:

Module 1: Introduction to DevOps and Azure DevOps

Overview of DevOps Principles
Understanding the DevOps Engineer Expert Certification
Azure DevOps Services Overview
Agile Planning and Collaboration Tools
Managing Source Control with Git

Hands-On:

Setting up an Azure DevOps organization and project
Creating and managing repositories with Git
Configuring agile boards for project management

Module 2: Continuous Integration (CI)

Building CI Pipelines in Azure DevOps
Integrating Code Quality and Security Tools
Managing Build Dependencies
Automating Testing with Azure Test Plans

Hands-On:

Creating a CI pipeline for a sample application
Configuring automated builds with static code analysis
Adding unit and integration tests to the pipeline

Module 3: Continuous Delivery (CD)

Designing and Implementing Release Pipelines
Deployment Strategies: Blue-Green, Canary, and Rolling Updates
Infrastructure as Code (IaC) with Terraform and ARM Templates
Configuring Multi-Stage Pipelines

Hands-On:

Creating a multi-stage release pipeline
Deploying applications to Azure App Service using ARM templates ● Automating infrastructure provisioning with Terraform

Module 4: Monitoring and Feedback

Application and Infrastructure Monitoring with Azure Monitor
Analyzing Logs with Log Analytics
Setting up Alerts and Dashboards
Gathering User Feedback with Azure DevOps

Hands-On:

Configuring Azure Monitor for a web application
Creating custom dashboards and alerts
Using Application Insights for performance tracking

Module 5: DevSecOps and Advanced Practices

Integrating Security into DevOps Pipelines
Using Azure Policy for Compliance
Managing Secrets with Azure Key Vault
Implementing Governance and Cost Management

Hands-On:

Configuring Azure Key Vault for secrets management in pipelines
Implementing security scans in a CI/CD pipeline
Enforcing compliance with Azure Policy

Module 6: Structured Activities/Exercises/Case Studies

Lab: Setting up an end-to-end CI/CD pipeline for a web application ● Lab: Automating infrastructure deployment using Terraform
Lab: Configuring monitoring and troubleshooting application issues
Lab: Implementing blue-green deployment for a microservices architecture ● Lab: Securing a pipeline with Azure Key Vault and security scanning tools

Training Material Provided

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/microsoft-certified-devops-engineer-expert-mini-bootcamp/feed/ 0 Advanced Node.js for Developers https://project.bigdatatrunk.com/courses/advanced-node-js-for-developers/ https://project.bigdatatrunk.com/courses/advanced-node-js-for-developers/#respond Fri, 23 Aug 2024 05:28:14 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=53467 This Advanced Node.js training is designed for developers looking to deepen their understanding of Node.js and build more complex, high-performance applications.

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Overview
Prerequisites
Audience
Curriculum

Description:

This Advanced Node.js training is designed for developers looking to deepen their understanding of Node.js and build more complex, high-performance applications. Participants will explore advanced topics such as event-driven architecture, performance optimization, and the use of powerful tools and libraries. This course will empower you to take full advantage of Node.js’s capabilities for developing scalable and robust backend systems.

Duration: 2 Days

Course Code: BDT369

Learning Objectives:

After this course, you will be able to:

Optimize Node.js applications for performance and scalability.
Master event-driven architecture and design patterns in Node.js.
Implement advanced asynchronous programming techniques, including Promises, async/await, and streams.
Utilize Node.js with external databases (SQL and NoSQL) and caching mechanisms.
Leverage tools and libraries such as Express, Socket.IO, and PM2 for advanced application development and monitoring

Completion of a Node.js beginner course or equivalent experience. ( BDT367)
Proficiency in JavaScript and familiarity with asynchronous programming.
Basic understanding of Node.js core modules and RESTful APIs.

This course is ideal for developers with a foundational understanding of Node.js who want to enhance their skills and tackle more complex projects, such as building large-scale applications or optimizing performance.

Course Outline:

1. Introduction to Advanced Node.js Concepts

Overview of Node.js architecture and V8 engine internals
Understanding the event loop in depth

2. Event-Driven Architecture

Designing event-driven systems
Implementing custom events with EventEmitter
Real-world use cases and examples

3. Advanced Asynchronous Programming

Deep dive into Promises, async/await
Working with streams and buffering
Managing concurrency with worker threads and clustering

4. Error Handling and Debugging

Advanced error handling patterns
Debugging with Node.js built-in tools (Inspector, Debugger)
Monitoring and logging with external tools (Winston, Log4js)

5. Performance Optimization

Profiling and benchmarking Node.js applications
Memory management and garbage collection
Optimizing I/O operations and database interactions

6. Node.js with Databases

Integrating Node.js with SQL databases (e.g., MySQL, PostgreSQL)
Working with NoSQL databases (e.g., MongoDB)
Implementing caching strategies with Redis

7. Deploying and Scaling Node.js Applications

Best practices for deploying Node.js apps
Scaling with tools like PM2, Docker, and Kubernetes
Continuous Integration/Continuous Deployment (CI/CD) pipelines

Training material provided: Yes (Digital format)

Installations required:

js: The runtime environment is free and open-source. You can download it from the official Node.js website.

Visual Studio Code: A popular, free, open-source code editor with extensive support for Node.js development.
npm (Node Package Manager): Comes bundled with Node.js and allows you to install and manage packages and dependencies for your Node.js projects.
Docker: For containerizing Node.js applications, useful in deployment and scaling sections. Installation: https://www.docker.com/
MySQL or PostgreSQL: SQL databases for database integration modules.

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]]> https://project.bigdatatrunk.com/courses/advanced-node-js-for-developers/feed/ 0 HTML and CSS for Beginners https://project.bigdatatrunk.com/courses/html-and-css-for-beginners/ https://project.bigdatatrunk.com/courses/html-and-css-for-beginners/#respond Fri, 23 Aug 2024 05:17:38 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=53446 This HTML and CSS for Beginners course offers a comprehensive, step-by-step approach to building your foundational coding skills.

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Overview
Prerequisites
Audience
Curriculum

Description:

This HTML and CSS for Beginners course offers a comprehensive, step-by-step approach to building your foundational coding skills. With the guidance of a dedicated instructor, you’ll learn to create and style web pages using these essential technologies, which are the building blocks of web development. This course is perfect for those looking to start a career in web development or enhance their programming knowledge with a solid understanding of HTML and CSS.

Duration: 1 Day

Course Code : BDT368

Learning Objectives:

After this course, you will be able to:

Understand CSS concepts such as the box model, positioning schemes, inheritance, solving selector conflicts, etc.
Learn how to use common components and layout patterns for professional website design and development
Develop skills such as reading documentation, debugging, and using professional tools
Become a confident HTML and CSS developer

No previous experience is required

Web Developer, UI/UX Designer, Content Manager/Editor, Software Engineer and Total beginners.

Course Outline:

1. Introduction to HTML & CSS

HTML Overview
Setting Up the Environment

2. HTML Basics

HTML Document Structure
Common HTML Elements
Forms and Input Elements
Semantic HTML

3. CSS Basics

Introduction to CSS
Selectors and Properties
Box Model
Layouts and Positioning

4. Design and Media Queries

Design Principles
Media Queries

5. Advanced CSS Techniques

CSS Grid Layout
CSS Transitions and Animations

6. Hands-On Exercise and Q&A

Building a Simple Web Page

Training material provided: Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/html-and-css-for-beginners/feed/ 0 Introduction to Node.js for Beginners https://project.bigdatatrunk.com/courses/introduction-to-node-js-for-beginners/ https://project.bigdatatrunk.com/courses/introduction-to-node-js-for-beginners/#respond Fri, 23 Aug 2024 05:10:01 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=53429 This 1-day training on Node.js for Beginners is designed to equip you with the essential skills needed to build scalable, high-performance applications.

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Overview
Prerequisites
Audience
Curriculum

Description:

This 1-day training on Node.js for Beginners is designed to equip you with the essential skills needed to build scalable, high-performance applications. You'll start by understanding the basics of Node.js, then move on to mastering asynchronous programming and working with core modules. The course also covers crucial aspects like error handling, debugging, and the deployment and scaling of Node.js applications, ensuring you have a solid foundation to advance in your web development journey. By the end of this training, you'll be able to confidently develop and manage server-side applications using Node.js. This course is ideal for aspiring developers looking to enhance their backend programming skills and efficiently handle real-world projects. This comprehensive course is designed specifically for beginners and those eager to enhance their JavaScript skills.

Duration: 1 Day

Course Code: BDT367

Learning Objectives:

After this course, you will be able to:

Understand Node.js Basics
Master Asynchronous Programming
Work with the Node.js Core Modules
Implement Error Handling and Debugging
Deploy and Scale Node.js Applications

JavaScript, HTML and CSS, Web access and Developer skills.

Frontend Developers, Backend Developers, Full-Stack Developers, Students and Recent Graduates, IT Professionals.

Course Outline:

1. Introduction to Node.js

Overview of Node.js
js Architecture
Setting Up Node.js

2. Basic JavaScript Refresher

JavaScript Fundamentals
Functions and Scope
Asynchronous JavaScript

3. Node.js Core Modules

File System Module
HTTP Module
Path and OS Modules
Events Module

4. Building a Web Server with Node.js

js Framework
Routing
Error Handling

5. Working with Databases

Introduction to Databases
Using MongoDB
Database Integration

6. Creating RESTful APIs

API Basics
Building APIs with Express.js
Authentication and Authorization

Training material provided: Yes (Digital format)

Installations required:

js: The runtime environment is free and open-source. You can download it from the official Node.js website.

Visual Studio Code: A popular, free, open-source code editor with extensive support for Node.js development.
npm (Node Package Manager): Comes bundled with Node.js and allows you to install and manage packages and dependencies for your Node.js projects.

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]]> https://project.bigdatatrunk.com/courses/introduction-to-node-js-for-beginners/feed/ 0 Rust Programming Fundamentals https://project.bigdatatrunk.com/courses/rust-programming-fundamentals/ https://project.bigdatatrunk.com/courses/rust-programming-fundamentals/#respond Tue, 03 Oct 2023 08:46:11 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=43805 Rust is a multi-paradigm, general purpose programming language that is gaining popularity amongst many companies. Rust emphasizes performance, type safety, concurrency, immutability and has several programming features adopted from functional programming.

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Overview
Prerequisites
Audience
Curriculum

Description:

Rust is a multi-paradigm, general purpose programming language that is gaining popularity amongst many companies. Rust emphasizes performance, type safety, concurrency, immutability and has several programming features adopted from functional programming. This course is designed to get students well versed in various Rust programming fundamentals with a lot of code samples and hands-on exercises. The course will cover topics such as basic data types, collections, structs, lifetimes, traits, generics and much more. We will cover pointers, concurrency, and implement various data structures such as binary search trees, sorting, graphs.

Duration: 3 days

Code Code: BDT307

Learning Objectives:

After this course, you will be able to:

Getting started with Rust
Rust basics: understanding basic data types & control flow
Understanding data ownership and working with structs
Using enumerations, pattern matching, traits and generics
Understand Error Handling Strategies and Testing in Rust
Exploring advanced topics in Rust

This course is designed for anyone interested in getting started with Rust Programming: System Programmers, Software Developers, QA Engineers.

Must have experience with at least one programming language.

Course Outline:

1. Getting Started with Rust

Installing Rust
Configuring Visual Studio Code for Rust
Write Hello World! program
Lab: Set up Rust Development Environment

2. Rust Basics

Basic data types
Scalar data types
Tuples, Arrays, Vectors, Slices
String, String literals
Functions and Control Flow
Lab: Code covering above topics

3. Data Ownership

Moving, copying and cloning data
Understanding the data ownership model in Rust
Working with references and borrowing
Create structs, methods and understand lifetimes
Using common collections in Rust
Lab: Code covering above topics

4. Using enums, pattern matching, traits and generics

Working with enums, options, match
Understanding Generics
Understanding traits
Using traits as parameters
Lab: Code to understand above concepts

5. Error Handling and Testing in Rust

Understand the importance of error handling in Rust
Employ Result, Option types for error management
Learn to catch errors
Setting up tests and using assertions
Lab: Code covering these topics

6. Advanced Topics in Rust

Working with iterators and closures
Using pointers: Box, RC and ARC in Rust
Basics of concurrent programming
Create and manage threads using std::thread module
Implement synchronization mechanisms, such as Mutex and Arc
Lab: Code covering these topics

Training material provided: Yes (Digital format)

Hands-on Lab: Instructions will be provided to install Rust Programming tools, also students should install Visual Studio Code.

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]]> https://project.bigdatatrunk.com/courses/rust-programming-fundamentals/feed/ 0 Kickstart Rust Programming in a Day https://project.bigdatatrunk.com/courses/kickstart-rust-programming-in-a-day/ https://project.bigdatatrunk.com/courses/kickstart-rust-programming-in-a-day/#respond Tue, 26 Sep 2023 11:59:14 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=43736 Rust is one of fastest growing programming languages that is used by several companies to develop web browsers, game development, blockchain, networking and networking services, cloud infrastructure and much more.

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Overview
Prerequisites
Audience
Curriculum

Description:

Rust is one of fastest growing programming languages that is used by several companies to develop web browsers, game development, blockchain, networking and networking services, cloud infrastructure and much more. In this one-day course is designed to provide participants with a rapid introduction to Rust programming language. It covers essential concepts and practical skills required to get started with Rust development. Students will write/examine Rust code to understand the data types, control structures, memory management, error handling and many other features of Rust programming language.

Duration: 1 Day

Course Code: BDT306

Learning Objectives:

After this course, you will be able to:

Understanding Rust Fundamentals
Working with Data Types and Variables in Rust
Learn about Control Structures and Functions
Understand Memory Management and Ownership in Rust
Understand Error Handling Strategies in Rust
Explore Concurrency in Rust

Must have experience with at least one programming language.

This course is designed for anyone interested in getting started with Rust Programming: System Programmers, Software Developers, QA Engineers.

Course Outline:

1. Understanding Rust Fundamentals

Why use Rust?
Key features and benefits in Rust
Write Hello World! program
Lab: Set up Rust Development Environment

2. Working with Data Type and Variables

Using primitive data types
Compound data types: tuples, arrays, vectors, slices
String, &str and String literals
Understanding mutability in Rust
Lab: Code covering above topics

3. Control Structures and Functions

Using conditional statements
Utilize looping constructs: for, while
Calling functions, passing parameters and return values
Lab: Code covering above topics

4. Memory Management and Ownership

Understanding concept of ownership in Rust
Differentiate between mutable and immutable references
Working with Move, Clone, Copy
Understanding lifetime and borrowing rules
Lab: Use structs to understand above concepts

5. Error Handling in Rust

Understand the importance of error handling in Rust
Employ Result, Option types for error management
Learn to catch errors
Lab: Code covering these topics

6. Explore Concurrency

Basics of concurrent programming
Create and manage threads using std::thread module
Implement synchronization mechanisms, such as Mutex and Arc
Lab: Code covering these topics

Training material provided: Yes (Digital format)

Hands-on Lab: Instructions will be provided to install Rust Programming tools, also students should install Visual Studio Code.

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]]> https://project.bigdatatrunk.com/courses/kickstart-rust-programming-in-a-day/feed/ 0 CompTIA CySA+ Certification https://project.bigdatatrunk.com/courses/comptia-cysa-certification/ https://project.bigdatatrunk.com/courses/comptia-cysa-certification/#respond Fri, 01 Jul 2022 04:08:11 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=24464 Certification that applies behavioral analytics to networks and devices to prevent, detect and combat cybersecurity threats through continuous security monitoring.

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Overview
Prerequisites
Audience
Curriculum

Short Description:

Certification that applies behavioral analytics to networks and devices to prevent, detect and combat cybersecurity threats through continuous security monitoring.

Description:

The CompTIA CySA+ certification equips cybersecurity professionals with the knowledge and skills to apply behavioral analytics to networks and devices. This certification focuses on preventing, detecting, and combatting cybersecurity threats through continuous security monitoring.

Course Code/Duration:

BDT213 / 1 Day

Learning Objectives:

After this course, you will be able to:

Learn to identify your hidden creative strengths.
Understand and utilize the creative process effectively.
Find unexpected and innovative solutions to your challenges.
Develop the ability to blend right and left-brain thinking for holistic creativity.
Embrace rule-breaking as a creative strategy.
Learn to think laterally and approach problems from various angles.
Progress from being competent to becoming brilliant in your creative endeavors.
Elevate your creative abilities from brilliant to truly amazing.

Network+, Security+ or equivalent knowledge. Minimum of 4 years of hands-on information security or related experience(Recommended).

Candidates seeking to validate their skills on how to proactively defend and continuously improve the security of an organization.

Course Outline:

Threat and Vulnerability Management

Importance of threat data and intelligence
Vulnerability management
Common vulnerability assessment tools

Software and Systems Security

Apply security solutions for infrastructure management
Software assurance best practices.
Hardware assurance best practices

Security Operations and Monitoring

Analyze data as part of security monitoring activities
Implement configuration changes to existing controls to improve security.
Importance of proactive threat hunting
Automation concepts and technologies

Incident Response

Importance of the incident response process
Analyze potential indicators of compromise
Basic digital forensics techniques

Compliance and Assessment

Importance of data privacy and protection
Apply security concepts in support of organizational risk mitigation
Importance of frameworks, policies, procedures, and controls.

Training Material Provided:

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]]> https://project.bigdatatrunk.com/courses/comptia-cysa-certification/feed/ 0 CompTIA Server+ Certification https://project.bigdatatrunk.com/courses/comptia-server-certification/ https://project.bigdatatrunk.com/courses/comptia-server-certification/#respond Fri, 01 Jul 2022 04:02:37 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=24460 Certification to ensure that IT professionals at the administrator level are able to do the job in any environment(data centers or Cloud environment.

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Overview
Prerequisites
Audience
Curriculum

Short Description:

Certification to ensure that IT professionals at the administrator level are able to do the job in any environment(data centers or Cloud environment.

Description:

The CompTIA Server+ certification is your assurance that IT professionals at the administrator level are equipped to excel in various environments, whether it be data centers or cloud-based setups. This certification is a testament to their expertise in server-related tasks.

Course Code/Duration:

BDT212 / 1 Day

Learning Objectives:

After this course, you will be able to:

Gain a deep understanding of the organization's structure, mission, and objectives.
Develop comprehensive knowledge of the organization's core operations and processes.
Acquire the skills to apply and interpret financial data to support decision-making.
Master the correct usage of business terminology to communicate effectively within the organization.
Identify and prioritize key strategic goals and create a compelling value proposition.
Advance the learning and performance agenda of the organization through effective strategies and initiatives.

A+ Certification with 18 to 24 months of IT experience.

Candidates seeking to validate the hands-on skills to install, manage and troubleshoot servers in data centers as well as on-premise and hybrid environments.

Course Outline:

Server Hardware Installation and Management

Install physical hardware
Deploy and manage storage
Server hardware maintenance

Server Administration

Server operating systems
Configure servers to use network infrastructure services
Key concepts of high availability for servers
Scripting basics for server administration.
Licensing concepts

Security and Disaster Recovery

Data security concepts
Physical security concepts
Identity and access management for server administration
Data security risks and mitigation strategies
Importance of backups and restores
Importance of disaster recovery

Troubleshooting

Troubleshooting theory and methodology
Common hardware failures
Troubleshoot common OS and software problems
Troubleshoot security problems.

Training Material Provided:

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