Clarusway

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering many services from data centers globally. Millions of customers are using AWS to save costs, become more agile, and innovate faster. For that reason, AWS is preferred as a cloud service provider. After the AWS module, a 14-week DevOps training will be conducted. The skills you learn in our DevOps for Professionals Learning Path will enhance your qualifications and open more significant opportunities to significantly leverage your income as a much sought-after professional in the high-demand IT job market. A two-week AWS Certified Cloud Practitioner and AWS Certified Solutions Architect certification exam preparation course will be given at the end of the AWS module. Program Flow: - AWS (19 Weeks + 2 Weeks Certification Exam Preparation) - DevOps (14 Weeks) Program Coverage: - 430+ Hours In-class Training - 45+ Hours Mentoring Service - 80+ Hours Lab/Project Sessions - 24 Hours AWS Certification Exam Preparation - 80+ Hands-on - 14 Projects - 2 Capstone Projects - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - DevOps Engineer - Cloud Engineer with DevOps - AWS Solutions Architect - Cloud Solutions Consultant - Cloud Architect - SysOps Administrator - Cloud Developer - Cloud DevOps Engineer - Platform Engineer - Build Engineer - Site Reliability Engineer - Release Manager

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering many services from data centers globally. Millions of customers are using AWS to save costs, become more agile, and innovate faster. For that reason, AWS is preferred as a cloud service provider. After the AWS module, a 13-week DevOps training will be conducted. The skills you learn in our DevOps for Professionals Learning Path will enhance your qualifications and open more significant opportunities to significantly leverage your income as a much sought-after professional in the high-demand IT job market. A two-week AWS Certified Cloud Practitioner and AWS Certified Solutions Architect certification exam preparation course will be given at the end of the AWS module. Program Flow: - AWS (10 Weeks + 2 Weeks Certification Exam Preparation) - DevOps (13 Weeks) Program Coverage: - 500 Hours In-class Training - 500 Hours Mentoring Service - 90 Hours Lab/Project Sessions - 24 Hours AWS Certification Exam Preparation - 85+ Hands-on - 15 Projects - 2 Capstone Projects - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - DevOps Engineer - Cloud Engineer with DevOps - AWS Solutions Architect - Cloud Solutions Consultant - Cloud Architect - SysOps Administrator - Cloud Developer - Cloud DevOps Engineer - Platform Engineer - Build Engineer - Site Reliability Engineer - Release Manager

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering many services globally from data centers. Millions of customers are using AWS to save costs, become more agile, and innovate faster. For that reason, AWS is preferred as a cloud service provider. There are no prerequisites for this program. This program helps students to gain knowledge about various types of cloud technology roles with a method to validate their AWS Cloud knowledge to enhance their credibility as an IT professional and also helps them to validate their ability to effectively demonstrate an understanding of how to build and deploy a secure and robust application using AWS technologies. A two-week AWS Certified Cloud Practitioner and AWS Certified Solutions Architect certification exam preparation course will be given at the end of the AWS module. Program Flow: - AWS (10 Weeks + 2 Weeks Certification Exam Preparation) Program Coverage: - 240 Hours In-class Training - 240 Hours Mentoring Service - 30 Hours Project Sessions - 24 Hours AWS Certification Exam Preparation - 40 Hands-on - 8 Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - Cloud Engineer - AWS Solutions Architect - Cloud Practitioner - Site Reliability Engineer - Cloud Architect - Cloud Solutions Consultant Eligibility: - No 4-year degree required - No previous coding experience required.

In this course, we aim to give our students accurate skills and talents to have them deliver the backend products. After this course, our students will be able to: • Develop applications with NodeJs by using ExpressJs Framework running at the backend • Design and use a database and integrate this database with APIs and Applications • Develop APIs with NodeJs and ExpressJS, including database support, and deploy these APIs to popular servers • Handle and ensure accessibility and security compliance, such as user authentication and access control for an application working at the backend • Make version control, such as Git Program Flow: - Backend (12 Week) Program Coverage: - 100+ Hours in-class training - 15 Hours Mentoring - 100+ Hours Lab/Project Sessions - 6 Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - Backend Developer - NodeJs Developer - ExpresJs Developer Eligibility: - JavaScript required - Basic level on GIT (if not participants may watch recorded videos on Git lessons before the course start date)

This course consists of two modules: Blockchain Technology and Web3 Development. The program aims to meet the market demand for startups that focus on blockchain technology. Students will also learn how to build real-life applications towards the end of the program. Blockchain Technology and Ecosystem Module: This module covers six topics, comprising Blockchain and Bitcoin, Smart Contracts and Ethereum, Oracle Problem, Decentralized Applications, and NFTs, and scalability problems and examples. Web3 Development Module: Students who get the Web 3.0 Development module will learn how to build applications (dApps) on the blockchain with Javascript, HTML, CSS, and Solidity to become a Blockchain Engineer. Web 3.0 developer course module includes the following topics: Terminal, Git, HTML, CSS, Introduction to Web 3.0 Development, Javascript, Solidity, Web 3.0 Libraries, Chainlink, The Graph, and GraphQL. Program Coverage: * Technology Module: - Consensus Mechanisms and Key Concepts - Technology Behind Bitcoin: Blockchain - Smart Contracts and Ethereum - dApps, DAOs, and NFTs - Oracle Problem and Decentralized Oracle - Blockchain Scalability - Whitepaper Reading - User Interaction with Bitcoin - Bridges - Storages * Development Module - IT Fundamentals for Blockchain - Introduction to Web 3.0 Development - Javascript - Solidity - Web 3.0 Development - The Graph - GraphQL - Chainlink Eligibility: - No 4-year degree required - No IT Background Required Targeted Job Title: - Product Manager - Marketing Specialist - Consultant - Content Lead - Researcher - Blockchain Engineer - Blockchain Developer - Solidity Engineer - Smart Contract Developer - Full-stack DeFi Developer

This comprehensive two-week course will teach participants how to deploy their Machine Learning models to the cloud using Streamlit and AWS Sagemaker. This course is designed to equip individuals with the skills they need to execute successful ML projects in the cloud, allowing them to take advantage of the scalability, agility, and cost-effectiveness offered by cloud computing. The program includes 27 hours of in-class training, focusing on setting up development environments, understanding cloud concepts, configuring Streamlit and AWS Sagemaker, deploying models on different platforms, and developing projects. Participants will gain hands-on experience working with various data sources. Program Flow: - Cloud for ML (Streamlit & Sagemaker) (2 Weeks) Program Coverage: - 27 Hours In-class Training - 1 Project Targeted Job Titles: - Data Scientist - Machine Learning Engineer - Data (Science) Consultant Eligibility: Candidates are supposed to have intermediate Python programming knowledge and familiarity with fundamental IT issues such as Linux, Git/GitHub, and SQL Basics. In addition, they are expected to be knowledgeable about how to analyze data with Python (NumPy, pandas, Seaborn, Matplotlib, etc.) and create/evaluate models with Machine Learning & Deep Learning.

This course was designed to provide a new career opportunity for beginners, while intermediate and advanced professionals can enhance their careers in Cyber Security roles. The learning path starts with Cyber Security Fundamentals for beginners and continues with advanced topics, including the CompTIA Security Plus exam. Program Coverage: MODULE-01 (10 weeks) CompTIA Security Plus Certificate Training - IT Essentials - Operating Systems - Windows Basic - Linux Basic - Networking Essentials - CompTIA Security Plus Exam Preparation - Q&A Eligibility: - No 4-year degree required - No previous coding experience required

This course was designed to provide a new career opportunity for beginners, while intermediate and advanced professionals can enhance their careers in Cyber Security roles. Cyber security attacks are becoming more prevalent worldwide, creating a scarcity of cyber security analysts. Cyber security experts help organizations prevent, detect and manage cyber threats by employing various tools, technologies, and processes. It’s possible to enter the cyber security profession without a degree by starting in an entry-level IT position. You could then work your way up to a cyber security role by gaining experience and industry certifications. This course will teach you which tools a cybersecurity analyst will most frequently use today and how they use them, and there will be many hands-on sessions on these tools. Then, shifts will be created on the tools used in the C-SOC so the trainees will have experience in the current C-SOC working environment. Finally, the skills required for job applications will be gained in the Job Hunting section, where job search processes, Resume/CV perfection, LinkedIn perfection, and mock interviews will be studied. Program Coverage: MODULE-01 (10 weeks) CompTIA Security Plus Certification + Exam Prep. - IT Essentials - Operating Systems - Windows Basic - Linux Basic - Networking Essentials - CompTIA Security Plus Exam Preparation - Q&A MODULE-02 (10 weeks) Cyber Security Operation Center (C-SOC) Experience - Real-time C-SOC Experience - Security Operations Threat Modeling - Log Analysis & Detection Packet Analysis - Web Application Security - Social Engineering - Malware Analysis - Threat Hunting - Forensic - IPS/ IDS - Linux - Windows MODULE-03 (2 weeks) Job Hunting - Perfection Linkedin Profile - Perfection Resume/ CV - Mock Interviews - Behavioral Interviews - Technical Interviews Eligibility: - No 4-year degree required - No previous coding experience required - really! Targeted Job Title: - Cyber Security Analyst - Helpdesk Manager / Analyst - Security Administrator - Systems Administrator - Security Engineer

In this course, participants will learn data types, data structure, and data lifecycle. Participants will gain a deep understanding and ability to derive insightful knowledge from raw data. This program focuses on the practical technical knowledge required to analyze and solve data problems in a meticulous and fast-paced way, it includes statistics basics, python libraries, pandas, NumPy, scipy, and stats, and diving into SQL, from designing to querying. Participants will learn how to analyze data to make better decisions and get a solid foundation in statistics to interpret the data better. Program Flow: - Data Analytics (13 Weeks) Program Coverage: - 210+ Hours In-class Training - 60+ Hours Mentoring Service - 10+ Assignments & Projects - 3 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - Business Intelligence Analyst - Data Analyst - Tableau Developer - Data Consultant Eligibility: Candidates are supposed to have intermediate python programming knowledge and familiarity with fundamental IT issues such as Linux, Git/GitHub, and SQL Basics.

This program starts with a 6-week Prep for DS training specially prepared for those new to Data Analytics. With the guidance of your personal mentor and career coaches, you will graduate with an interview-ready portfolio and a network of Data Analysts/Scientists. In this course, participants will learn data types, data structure, and data lifecycle. Participants will gain a deep understanding and ability to derive insightful knowledge from raw data. This program focuses on the practical technical knowledge required to analyze and solve data problems in a meticulous and fast-paced way; it includes statistics basics, python libraries, pandas, NumPy, scipy, and stats, and diving into SQL, from designing to querying. Participants will learn how to analyze data to make better decisions, get a solid foundation in statistics to interpret the data better, and prepare and share dashboards with this insight to stakeholders. Program Flow: - Prep for DS (6 Weeks) - Data Analytics (19 Weeks) Program Coverage: - 250+ Hours In-class Training - 45+ Hours Mentoring Service - 50+ Hours Lab/Project Sessions - 5+ Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - Business Intelligence Analyst - Tableau Developer - Data Analyst - Data Consultant Eligibility: - No 4-year degree required - No previous coding experience required

(This program starts with a 12-week IT Fundamentals (ITF) training specially prepared for those new to the IT sector or those needing significant skills building. You can skip this part if you are eligible. The duration of ITF is not added to the total duration.) (After ITF), we deep dive into data science and machine learning fundamentals with Python. Throughout the course, you will gain a comprehensive understanding of the entire data science process from end to end, including data prep, data analysis, and visualization, as well as how to properly apply machine learning algorithms to various situations or tasks and model deployment on the cloud. This course was designed to prepare you for the real world. Each week, you’ll tackle interview-style questions and weekly exercises as you learn new topics to build the skills needed to land a new job as you learn the topics themselves. What You’ll: - Learn the end-to-end data science process, including data prep, data analysis, visualization, as well as use cases for both machine learning and deep learning algorithms - Walk away with a work-applicable understanding of the Data Science process and how to use the methodologies and tools to solve real-world problems in business and academia. - Learn how to retrieve and manipulate data using Python and SQL - Learn how to prepare the dashboard that the business world needs on Tableau BI Tool - Get an understanding of the importance of machine learning and the future growth of the industry - Get a deep understanding of the strengths and weaknesses of different Machine Learning algorithms - Learn how to deploy a model on the cloud systems such as AWS. - Get a portfolio of projects to showcase to employers. Program Flow: - Data Analytics (13 Weeks) - Machine Learning & Deep Learning (13 Weeks) Program Coverage: - 430+ Hours In-class Training - 120+ Hours Mentoring Service - 20+ Assignments & Projects - 4 Capstone Projects - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - Business Intelligence Analyst - Data Analyst - Tableau Developer - Data Scientist - Machine Learning Engineer - Data (Science) Consultant Eligibility: - No 4-year degree required - No previous coding experience required

This course is designed for people with previous experience in the IT industry. Following the completion of the preparation period, a 14-week DevOps training will begin. The skills you learn in our DevOps Learning Path will enhance your qualifications and open more significant opportunities to significantly leverage your income as a much sought-after professional in the high-demand IT job market. Program Flow: - DevOps (14 Weeks) Program Coverage: - 180+ Hours In-class Training - 20+ Hours Mentoring Service - 50+ Hours Lab/Project Sessions - 40+ Hands-on - 6 Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - DevOps Engineer - SysOps Administrator - Platform Engineer - Build Engineer - Site Reliability Engineer - Release Manager Eligibility: Candidates are supposed to have AWS cloud computing knowledge (JSON&YAML, IAM, EC2 (ELB, AS, SG, EBS), Cloudformation, DB, VPC, Route53, Network (IP addressing, subnetting, TCP/IP Model) and familiarity with basic IT issues such as Linux, Git, and Python.

This course is designed for people with previous experience in the IT industry. Following the completion of the preparation period, a 13-week DevOps training will begin. The skills you learn in our DevOps Learning Path will enhance your qualifications and open more significant opportunities to significantly leverage your income as a much sought-after professional in the high-demand IT job market. Program Flow: - DevOps (13 Weeks) Program Coverage: - 260 Hours In-class Training - 260 Hours Mentoring Service - 60+ Hours Lab/Project Sessions - 45+ Hands-on - 7 Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - DevOps Engineer - SysOps Administrator - Platform Engineer - Build Engineer - Site Reliability Engineer - Release Manager Eligibility: Candidates are supposed to have AWS cloud computing knowledge (JSON&YAML, IAM, EC2 (ELB, AS, SG, EBS), Cloudformation, DB, VPC, Route53, Network (IP addressing, subnetting, TCP/IP Model) and familiarity with basic IT issues such as Linux, Git, and Python.

Front End web development is the practice of converting data to a graphical interface through the use of HTML, CSS, and JavaScript so that users can view and interact with that data. Front End web development includes many different technologies, constantly changing the environment. In this course, you will learn the basics of all the different aspects of front-end web development and how to develop and keep your skills up to date. This program teaches students web development skills that will help them communicate their ideas open to all stakeholders to manage a technical team authentically. It also teaches HTML, CCS, Javascript, and more to begin their journey to becoming highly desirable front-end developers. Program Flow: - FrontEnd (20 Weeks) Program Coverage: - 240 hours in-class training - 30 Hours Mentoring Service - 100+ Hours Lab/Project Sessions - 15+ Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - Front End Developer - Web Developer - React Developer - JavaScript Developer

The Full Stack Web Development program we offer can lead any beginner through the process or take intermediate to advanced-level professionals to the next level in their careers! The learning path starts with the IT Framework for beginners and continues with the Front-end and Back-end developer course modules. A full-stack web developer is a programmer who has the basic knowledge of all layers of an application. Each layer is called a “stack.” Full stack web developers have the ability to design complete web applications and websites which requires both front-end and back-end skills. They work on the database and debugging of web applications or websites. Are you ready to give your career a boost? Program Flow: - FrontEnd (20 Weeks) - BackEnd (12 Weeks) Program Coverage: - 400+ Hours in-class training - 60 Hours Mentoring Service - 150+ Hours Lab/Project Sessions - 20+ Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - FrontEnd Developer - BackEnd Developer - Web Developer - React Developer - Full Stack Developer - NodeJs Developer - Javascript Developer

The Full Stack Web Development program we offer can lead any beginner through the process or take intermediate to advanced-level professionals to the next level in their careers! The learning path starts with the IT Framework for beginners and continues with Front-end and Back-end developer course modules. A full-stack web developer is a programmer who has the basic knowledge of all layers of an application. Each layer is called a “stack.” Full stack web developers can design complete web applications and websites that require both front-end and back-end skills. They work on the database and debugging of web applications or websites. Are you ready to give your career a boost? Program Flow: - FrontEnd-I (12 Weeks) - FrontEnd-II (12 Weeks) - BackEnd (12 Weeks) - Capstone Project (12 Weeks Program Coverage: - 600+ Hours In-class Training - 100+ Hours Mentoring Service - 400+ Hours Lab/Project Sessions - 20+ Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - FrontEnd Developer - BackEnd Developer - Web Developer - React Developer - Full Stack Developer - Javascript Developer - Nodejs Developer - Nextjs Developer - MongoDB Developer Eligibility: - No 4-year degree required - No previous coding experience required

Kubernetes is everywhere and it’s growing in popularity every day. Today, most enterprise applications need Kubernetes, since it uses the resources efficiently and it is easy to deploy applications or easy to transfer from one cloud provider to another. So, Kubernetes is the key to giving the most benefit with the least amount of effort. Kubernetes orchestrates microservices that are just simple, small, and easy to manage containers. Kubernetes controls the scaling of those containers, the resources to allocate to them and the networking among these containers, and more. As such, it simplifies many aspects like rolling updates to a new version of a microservice application, rolling back to a previous version, deploying a huge application with just one command, and easily monitoring the performance of the application. In this course, you will learn what Kubernetes is, why the industry adopts it so strongly, and how it is used in modern enterprise applications. Program Coverage: - Kubernetes Architecture - Application Design and Build - Deployment Configuration - Security - Exposing Applications - Application Troubleshooting - CKAD Exam Introduction - 8+ hrs lab - Totally 24 hours in-class Pre-requisites: - Knowledge about Container Technologies: Docker etc. - YAML - Linux Basics Targeted Job Title: - Kubernetes Engineer - Devops Engineer - Site Reliability Engineer (SRE) - Back-end Developer

In this course, participants will learn how to use scientific methods, processes, algorithms, and systems in this interdisciplinary field and get the essential skills expected from a data scientist & ML Engineer. Through this program, in addition to learning how to build complex quantitative algorithms and synthesize large amounts of information, gain the leadership and communication skills necessary to deliver measurable and tangible results to various business stakeholders. Program Flow: - Machine Learning/Deep Learning (8 Weeks) Program Coverage: - 75+ Hours In-class Training - 15+ Hours Mentoring Service - 30+ Hours Lab/Project Sessions - 5+ Projects - 1 Capstone Project - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - Data Scientist - Machine Learning Engineer - Data (Science) Consultant Eligibility: Candidates are supposed to have intermediate Python programming knowledge and familiarity with fundamental IT issues such as Linux, Git/GitHub, and SQL Basics. In addition, they are expected to be knowledgeable about how to analyze data with Python (NumPy, pandas, Seabırn, Matplotlib, etc.) and SQL.

In this course, participants will learn how to use scientific methods, processes, algorithms, and systems in this interdisciplinary field and get the essential skills expected from a data scientist & ML Engineer. Through this program, in addition to learning how to build complex quantitative algorithms and synthesize large amounts of information, gain the leadership and communication skills necessary to deliver measurable and tangible results to various business stakeholders! Program Flow: - Machine Learning/Deep Learning (13 Weeks) Program Coverage: - 201+ Hours In-class Training - 60+ Hours Mentoring Service - 10+ Real World Projects - 3 Graduation/Capstone Projects - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - Data Scientist - Machine Learning Engineer - Data (Science) Consultant Eligibility: Candidates are supposed to have intermediate Python programming knowledge and familiarity with fundamental IT issues such as Linux, Git/GitHub, and SQL Basics. In addition, they are expected to be knowledgeable about how to analyze data with Python (NumPy, pandas, Seabırn, Matplotlib, etc.) and SQL.

Natural Language Processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. In NLP, raw text data is converted into numerical data and put into a form that computers/machines can understand and make inferences. In this course, participants will learn ML, DL, BERT, LLMs (pre-trained models), and word embedding applications of NLP. The course also covers use cases of ChatGPT, which is a hot topic nowadays. Program Flow: - Natural Language Processing (2 Weeks) Program Coverage: - 24 Hours In-class Training - 1 Project Targeted Job Titles: - NLP related jobs Eligibility: Candidates are supposed to have intermediate Python programming knowledge and familiarity with fundamental IT issues such as Linux, Git/GitHub, and SQL Basics. In addition, they are expected to be knowledgeable about analyzing data with Python (NumPy, pandas, Seaborn, Matplotlib, etc.) and creating/evaluating models with Machine Learning & Deep Learning.

Front End web development is the practice of converting data to a graphical interface through the use of HTML, CSS, and JavaScript so that users can view and interact with that data. Front End web development includes many different technologies, constantly changing the environment. Today the most popular library for Frontend Development is React. React has revolutionized the way developers create web applications by introducing a component-based architecture that promotes reusability, maintainability, and efficiency. With React, you can build dynamic and responsive user interfaces that seamlessly update in real-time, making for a smooth and engaging user experience. Throughout this course, we will delve into the core concepts of React, starting from the basics and gradually progressing to more advanced topics. You will learn how to set up your development environment, create and render components, handle state and props, manage events, and navigate the powerful React ecosystem. Our course is designed to be hands-on and interactive. You will have the opportunity to apply what you learn through practical exercises and projects that simulate real-world scenarios. By the end of this course, you will have the skills and knowledge to confidently build your own React applications and contribute to existing projects. Whether you aspire to become a front-end developer, a full-stack engineer, or simply want to expand your programming horizons, mastering React is a valuable asset in today's tech industry. So, get ready to dive into the world of React and unlock a world of possibilities in web development! Program Flow: - React (8 Weeks) Program Coverage: - 100+ hours in-class training - 15 Hours Mentoring Service - 40+ Hours Lab/Project Sessions - 10 Projects - 1 Real Life Project Guided Solution - 1 MilestoneProject - CMS (Career Management Service) Support until First Hiring Targeted Job Titles: - React Developer Eligibility: - JavaScript required - HTML, CSS, Bootstrap, and SASS required - Basic GIT knowledge required

With vast career opportunities, in-depth technical documentation, and a connected developer community, you can easily build your skills and career within the Salesforce space. With so much of the business world moving to the Cloud, getting into Salesforce can lead you to a long and fruitful IT career. This program prepares you to take the Salesforce Administrator, Advanced Administrator, Application Builder, and Platform Developer I and II Certification Exams to add another mark of industry distinction to your resume. As a Salesforce Administrator & Developer, you get to be the person that works with stakeholders to define system requirements and manage and customize the technical side of an organization’s Salesforce instance. You’ll have the chance to build and contribute to real-life products that you can showcase in your portfolio. You will learn the Salesforce platform with no coding. Besides, you will also learn Salesforce coding languages that will enable you to go further for Salesforce Developer positions. Salesforce Developer Track includes project management and version control on Salesforce with SFDX and Salesforce CLI. At the end of the course, you can deploy your projects in a production environment. Furthermore, the Lightning Web Component section is not limited to the introduction. Program Coverage: *Warm Up Track - SDLC - Agile - JIRA - HTML - CSS - SQL - Introduction to Salesforce * Salesforce Administrator Track - Data Modeling and Management - Salesforce UI - Application Builder - Business Process - Security - Report and Dashboard - Declarative Tools - Point and Click No Coding Tools - Low Coding Tools * Salesforce Developer Track - APEX ( Triggers, Async, Testing) - SOQL/SOSL/DML - Visualforce - AURA - Basics of Javascript - LWC - SLDS - Exception Handling - Scratch Org - Testing - Governors Limits and Code Bulkification - Component Lifecycle and Compilation - Aura and LWC Interoperability - GIT ( Github-BitBucket) - SFDX and Salesforce CLI - Sandbox - Deployment to Production - Introduction to Salesforce PAAS HEROKU - Exterior Custom Application Development Basics Eligibility: - No 4-year degree required - No IT background required Targeted Job Title: - Salesforce Administrator - Salesforce Developer

This program is an intensive, 4-week online Salesforce Advanced Flow training class. This course will make you a Salesforce Flow Specialist. Flow is the most powerful declarative automation tool in Salesforce, and it allows you to build complex business solutions by collecting data and performing various actions in the Salesforce org or an external platform. Flows are eliminating the need for coding while running complex business processes and repetitive tasks. Program Coverage: * Module 1 - General Flow Presentation - Use cases - Screen Flow Presentation - Screen flow elements, components, Resources - Workshop-1 * Module 2 - Record Triggered Flows - Actions, Validation - Scheduled path, Flow trigger explorer - Workshop-2 * Module 3 - Schedule triggered flows - Loop, Variables - Governor Limits - Formula flow - Workshop-3 * Module 4 - Auto-launched flows (no trigger) and Platform-event triggered flow - Flow Templates and Appexchange - Flow best practices - Workshop-4 - Workshop-5 Eligibility: - No 4-year degree required - No IT background required Targeted Job Title: -Salesforce Administrator (Flow Specialist)

This course will teach you which tools a cybersecurity analyst will most frequently use today and how they use them, and there will be many hands-on sessions on these tools. Then, shifts will be created on the tools used in the C-SOC so the trainees will have experience in the current C-SOC working environment. Finally, the skills required for job applications will be gained in the Job Hunting section, where job search processes, Resume/CV perfection, LinkedIn perfection, and mock interviews will be studied. Program Coverage: MODULE-02 (10 weeks) Cyber Security Operation Center (C-SOC) Experience - Real-time SOC Experience - Security Operations Threat Modeling - Security Operations - Log Analysis & Detection Packet Analysis - Web Application Security - Social Engineering - Malware Analysis - Threat Hunting - Forensic - IPS/ IDS - Linux - Windows MODULE-03 (2 weeks) Job Hunting - Perfection Linkedin Profile - Perfection Resume/ CV - Mock Interviews - Behavioral Interviews - Technical Interviews Eligibility: - No 4-year degree required - No previous coding experience required Targeted Job Title: - Cyber Security Analyst - Helpdesk Manager / Analyst - Security Administrator - Systems Administrator - Security Engineer

Our SDET Course is designed to teach you how to deal with the testing part of programs. ur students gain important IT leadership training and the specific communication skills necessary to be successful in this interdisciplinary field. In addition to the above-mentioned task of the Test Automation Engineer; To identify the parts of the product that are not suitable for the flow and forward them to the relevant units, develop test scenarios, to create the expected results in the test processes according to the analysis, to generate error reports, to ensure that all errors of the product are corrected until the delivery stage to the user, to perform rechecks after the necessary arrangements and to act together with the software team. Program Coverage: - Software Development Life Cycle - Software Testing Life Cycle - JAVA - Selenium (with JUnit, TestNG, Cucumber frameworks) - MySQL - Jenkins - HTML - GIT/GitHub - JDBC - AWS Cloud - Jira Software - Capstone Project Eligibility: - No 4-year degree required - No IT Background Required Targeted Job Title: - Full-Stack Automation Engineer - Automation Engineer - QA Automation Engineer - Automation Tester - Functional Tester - Software Quality Assurance Engineer - Software Developer Engineer in Testing (SDET) - Software Test Engineer