Clarusway

This course is designed for people with previous experience in the IT industry. However, a free 60 hours preparation period has been planned before the course in order to ensure adaptation.

Following the completion of the preparation period, a 13-week AWS training will begin. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering lots of 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.

This program helps you to gain knowledge about various types of cloud technology roles with a method to validate their AWS Cloud knowledge to enhance your credibility as an IT professional, and also helps you to validate your ability to effectively demonstrate knowledge of how to build and deploy a secure and robust application using AWS technologies.

A three-week AWS Certified Cloud Practitioner and AWS Certified Solutions Architect certification exam preparation course will be given following the completion of the course.

Program Flow:
● FREE Prep. (60 Hrs)
● AWS (13 Weeks)

Program Coverage:
● FREE 60 Hours Prep. Course
● 134 Hours In-class Training
● 30 Hours Mentoring Service
● 33 Hours Lab/Project Sessions
● 24 Hours AWS Certification Exam Preparation
● 41 Hands-on
● 6 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

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.

Following the completion of the ITF module, a 13-week AWS training will be conducted. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering lots of 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.

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 knowledge of how to build and deploy a secure and robust application using AWS technologies.

A three-week AWS Certified Cloud Practitioner and AWS Certified Solutions Architect certification exam preparation course will be given following the completion of the course.

Program Flow:
● IT Fundamentals (12 Weeks)
● AWS (13 Weeks)

Program Coverage:
● 308 Hours In-class Training
● 60 Hours Mentoring Service
● 57 Hours Lab/Project Sessions
● 24 Hours AWS Certification Exam Preparation
● 40+ Hands-on
● 6 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 - really!

This course is designed for people with previous experience in the IT industry. However, a free 60 hours preparation period has been planned before the course to ensure adaptation.

Following the completion of the preparation period, a 13-week AWS training will begin. 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 three-week AWS Certified Cloud Practitioner and AWS Certified Solutions Architect certification exam preparation course will be given following the completion of the course

Program Flow:
● FREE Prep. (60 Hrs)
● AWS (13 Weeks)
● DevOps (13 Weeks)

Program Coverage:
● FREE 60 Hours Prep. Course
● 248 Hours In-class Training
● 60 Hours Mentoring Service
● 101 Hours Lab/Project Sessions
● 24 Hours AWS Certification Exam Preparation
● 80+ Hands-on
● 13 Projects
● 2 Capstone Project
● 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

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.

This course is designed for those who want to take a new step into the IT industry. It assumes that the people starting the course do not have any previous computer knowledge and experience. It enables the trainees to learn basic computer science first. Subsequently, it aims to acquire AWS cloud knowledge and the most popular DevOps tools by applying a very intensive training curriculum.

The course is designed as three modules, each covering three months of training. The first module is the IT Fundamentals(ITF) Module. The second module is about AWS cloud computing. AWS has been preferred as a cloud service provider. In this context, all of the widely used essential services are included in this module. The third module is about DevOps. The most popular DevOps tools are covered during this module.

Besides completing three modules, a three-week AWS Certified Cloud Practitioner and AWS Certified Solutions Architect certification exam preparation course is given.

Program Flow:
● IT Fundamentals (12 Weeks)
● AWS (13 Weeks)
● DevOps (13 Weeks)
Program Coverage:
● 443 Hours In-class Training
● 90 Hours Mentoring Service
● 125 Hours Lab/Project Sessions
● 24 Hours AWS Certification Exam Preparation
● 80+ Hands-on
● 13 Projects
● 2 Capstone Project
● 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

Eligibility:
● No 4-year degree required
● No previous coding experience required - really!

In this course we aim to give accurate skills and talents to our students to have them deliver the products of backend. After this course, our students will be able to:
• Develop applications with Python by using Django Framework running at backend
• Design and use a database and integrate this database with APIs and Applications
• Develop APIs with Django Rest Framework 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 backend
• Make version control, such as Git

Program Flow:
● Backend (8 Week)

Program Coverage:
● 100 Hours in-class training
● 15 Hours Mentoring
● 33 Hours Lab/Project Sessions
● 8 Hours Workshop / Hands-on Sessions
● 3 Project
● 1 Capstone Project
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● Backend Developer
● Django Developer
● Python Developer

Eligibility: Candidates are supposed to have python programming basics, familiarity with fundamental Database issues. Also, Capstone project includes React.JS Framework part, so participants have to know React.JS

The world of software is constantly growing due to the fact that computers are more and more involved in our daily lives. Numerous software programs are coded and released every day. Naturally, these software programs must be tested before released to minimize faults and maximize efficiency. Depending on this fact, software testing offers a very attractive career opportunity in the IT field. At the same time; lots of organizations take advantage of the enormous processing power and scaling opportunities offered by cloud computing. Of course, the testing phase can be enhanced with cloud infrastructure. As Clarusway, we have brought
together these trends and designed a new training program that offers a very attractive career: “Cloud Tester”. Get the cloud experience that you will showcase in the interviews and stand out in today's job market.

This program is designed to upskill the testers who are not able to benefit from the enormous computing power of cloud computing. In this course, we assume that you are familiar with testing tools.

Program Coverage:
This is an 8-week program that includes more than 100 hours of in-class sessions and a bonus of 20+ hours of Career Management Services(CMS). Our specialty CMS activities for the cloud tester program include 3 life coaching sessions, 1 resume writing session, 2 Linkedin sessions, and an interview preparation support session. Besides the curriculum, you will have the opportunity to practice what you have learned with 24 hands-on activities plus 1 project (java-sdk project) at the end of the course.

Eligibility:
You need to have a foundation about the topics below to attend this program.
● Git/GitHub
● Java

In this course, participants will learn data types, data structure, data lifecycle. Participants will gain deep understanding and a high ability of deriving 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, stats, and dive 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:
● Preparatory Course (50+Hrs)
● Data Analytics (13 Weeks)

Program Coverage:
● 210+ Hours In-class Training
● 25+ Hours Mentoring Service
● 32+ Hours Lab/Project Sessions
● 5+ Real World Projects
● Capstone Projects
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● Business Intelligence Analyst
● Data Analyst
● Data Consultant

Eligibility: Candidates are supposed to have intermediate python programming knowledge, familiarity with fundamental IT issues such as Linux it and SQL Basics.

This program starts with a 13-week IT Fundamentals (ITF) training specially prepared for those new to the IT sector or those needing significant skills building. 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, data lifecycle. Participants will gain deep understanding and a high ability of deriving 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, stats, and dive 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 and how to prepare and share dashboards with this insight to
stakeholders.

Program Flow:
● IT Fundamentals (12 Weeks)
● Data Analytics (13 Weeks)

Program Coverage:
● 300+ Hours In-class Training
● 45+ Hours Mentoring Service
● 50+ Hours Lab/Project Sessions
● 5 Real World Projects
● Capstone Projects
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● Business Intelligence Analyst
● Data Analyst
● Data Consultant

Eligibility:
● No 4-year degree required
● No previous coding experience required - really!

Learn how to
● Extract knowledge and insights from different data types,
● Use scientific methods, processes, algorithms, and systems in this interdisciplinary field and get the essential skills expected from a data scientist & ML Engineer.

By 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 a variety of business stakeholders!

Program Flow:
● Preparatory Course (50+Hrs)
● Data Analytics (13 Weeks)
● Machine Learning & Deep Learning (13 Weeks)

Program Coverage:
● 350+ Hours In-class Training
● 45+ Hours Mentoring Service
● 80+ Hours Lab/Project Sessions
● 15+ Real Life Projects
● Capstone Projects
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● Business Intelligence Analyst
● Data Analyst
● Data Scientist
● Machine Learning Engineer
● Data (Science) Consultant

Eligibility: Candidates are supposed to have intermediate python programming knowledge, familiarity with fundamental IT issues such as Linux it and SQL Basics.

This bootcamp begins with the IT Fundamental (ITF) courses such as Python (beginner to intermediate), Linux, git, SQL Basics, HTML/CSS, Agile/Jira etc. After ITF, we deep dive into the fundamentals of data science and machine learning 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 so that you are building 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 dashboard that the business world needs on Tableau BI Tool
● Get an understanding of the importance of machine learning and 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:
● IT Fundamentals (12 Weeks)
● Data Analytics (13 Weeks)
● Machine Learning & Deep Learning (13 Weeks)

Program Coverage:
● 450+ Hours In-class Training
● 70+ Hours Mentoring Service
● 100+ Hours Lab/Project Sessions
● 15+ Real World Projects
● Capstone Projects
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● Business Intelligence Analyst
● Data Analyst
● Data Scientist
● Machine Learning Engineer
● Data (Science) Consultant

Eligibility:
● No 4-year degree required
● No previous coding experience required - really!