Clarusway

Course Description:

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

Subjects:
AWS, Systems Architecture, Cloud Computing

Course Description:

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!

Subjects:
AWS, Systems Architecture, Cloud Computing

Course Description:

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

Subjects:
AWS, DevOps, Systems Architecture, Cloud Computing

Course Description:

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!

Subjects:
AWS, DevOps, Systems Architecture, Cloud Computing

Course Description:

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

Subjects:
API, Python, Django, Back-End Web Development

Course Description:

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

Subjects:
Git, Github, Java, Cloud Computing

Course Description:

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, resulting in 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.

The learning path starts with Cyber Security Fundamentals for beginners and continues with advanced topics including IAM, Security Architecture, Security Frameworks and Standards, Threat Modeling, Offensive Security, and so on. Passionate students and experienced professionals may also choose to attend our advanced-level focused courses like penetration testing (ethical hacking), incident management, etc.

Program Coverage:
● IT & Security Fundamentals
○ Threats, Attacks, and Vulnerabilities
○ Technologies & Tools
○ Controls
○ Architecture & Design
○ Network Security
○ System Security
○ Web Security

● Identity & Access Management
○ Applied Cryptography
○ Logs & Detection
○ Scripting for Security
○ Wireless Networks
○ Governance, Risk and Compliance
○ OSINT & Social Engineering

● Security Operations Architecture
○ Security Operations Threat Modeling
○ AppSec & Offensive Security
○ Security Operations Threat Modeling

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

Targeted Job Title:
● Cyber Security Analyst

Subjects:
Cyber Security, Systems Architecture, Entity Framework

Course Description:

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.

Subjects:
SciPy, NumPy, Python, Data Analytics, SQL, Statistics & Probability, Pandas

Course Description:

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!

Subjects:
Information Technology, SciPy, NumPy, Python, Data Analytics, SQL, Statistics & Probability, Pandas

Course Description:

Data migration is the process of extracting, transforming, and loading (ETL) the data from the sources/storage systems to other destinations/storage systems. We can change the type of storage systems and format of the data. We can migrate data from on-premises to on-premises, from on-premises to cloud, from cloud to cloud, from cloud to on-premises, or hybrid infrastructure.

In recent years, companies have been transitioning to the cloud at great speed. There are many advantages of transitioning to the cloud and companies want to take advantage of the cloud. In this context, the transition from on-premises to cloud is one of the most important issues of the last period.

Nowadays, moving the data from on-premises to the cloud is very popular. The most important benefits of data migration from on-premises to cloud are;
- Legacy systems are replaced by modern ones.
- Reduces storage costs.
- Increases efficiency.
- Increases globality.
- Scalability.
- Agility.
- Reliability.
- Availability.
- Enhances security.
- Recovery, backup, and disaster recovery solutions.
- Improve management and monitoring.
- Less maintenance and Maximum uptime.

At the end of this course, you will easily migrate your database from on-premises to cloud, from cloud to on-premises or hybrid infrastructure.

Program Flow:
● Cloud vs OnPrem (10 hours)
● Migrate to AWS (10 hours)
● Labs (10 hours)

Pre-requisites:
● Git/GitHub
● DB Essentials: Hands-on experience on relational and NoSQL databases : Aurora, MySQL, DynamoDB etc.
● AWS Services: Hands-on experience with EC2, RDS, VPC, IAM, CloudWatch metrics, Cloudformation
● Network Knowledge: Routing, subnets, ACL’s
● Hands-on experience on DB Engineering tasks
● Linux CLI
● Any scripting language (Shell, Perl, Python, JavaScript, Rub, etc) Targeted Job Titles:
● Data Migration Manager
● Support Engineer
● Data Migration Engineer
● Data Migration Specialist
● Cloud Migration Engineer

Subjects:
AWS, Cloud Computing