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The School of Applied Data and Web Engineering (SADWE) from its initiation is offering dynamic applied soft data centric courses for analytical or operational uses in Cloud computations, Quantum mechanics with its superposition, interference, and entanglement and IT operations engineering. The aim is to build professional software engineers those will be typically responsible for building data pipelines to bring together information from different source systems. They will also learn to integrate, consolidate, and cleanse data and structure it for use in analytics applications with an objective of making data easily accessible and optimizing their organization's big data ecosystem. Courses of SADWE are also focused on development and operational aspects of designing, configuring, and deploying secure and robust cloud computing systems with DevOps and Cloud solutions having code assembly, testing and deployment through AWS. In the current job market, the amount of data a software engineer works with varies with the size of the organization. The greater the industry, the more complex is its analytics architecture, and the more data the engineer will be responsible for optimal solutions. Certain industry clusters are more data-intensive, including healthcare, e-commerce, and financial services. Future Data engineers in SADWE will lead to play role in conjugation with data science teams, improving data transparency, building web as a distributed system and more trustworthy business decisions.

Tuition Payment Options

Study Now, Pay Later

We’ve got the friendliest payment method ever! At NVIT, you can begin your program without making any payments. Thanks to our Study Now, Pay Later Model, you can start paying your tuition after graduation and landing a good job. The NVIT Study Now Pay Later Agreement (SNPL) is a contractual agreement in which a learner receives training funding in exchange for repayment of the amount over time. There is a first-come, first-served policy due to high demand for the SNPL program, which is only available to graduates from any of the three-to-four-month Cohort. This comes with an additional 20% tuition charge.

Prepayment

A 15% discount is available if you prepay the entire tuition fee at the start of your course.

Monthly Payment

This option divides your tuition into monthly installments which you can pay each month as you progress through the course, but there is an initial payment of 30% of tuition.

AWS re/Start Cloud Engineering

AWS re/Start Cloud Engineering

AWS re/Start is a cohort-based hands-on labs, using real world scenarios instructor-led sessions, learners build Linux, Python, networking, security, database, automation, and core AWS Cloud skills for entry to mid-level cloud roles. A tech background is not required to apply. The program is free to the learner and focused on helping unemployed or underemployed individuals launching a new career. AWS is in collaboration with NVIT to support underrepresented groups, minorities, displaced individuals, young people. Free by AWS.

 

OUTCOME: With this course, students will be able to-

  1. Learn how cloud computing works
  2. Apply AWS Cloud skills
  3. Demonstrate how to use different programming languages

Duration: 12 weeks

Cost:  Free Training + Exams Voucher + Certificate

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Microsoft Azure Cloud Engineering

Microsoft Azure Cloud Engineering

The certification validates your basic knowledge of cloud services and how those services are provided with Azure. Candidates should be able to demonstrate a fundamental knowledge of cloud concepts, along with Azure services, workloads, security, privacy, pricing, and support.

 

OUTCOME: With this course, students will be able to-

  1. Learn on cloud computing concepts, models, and services, such as public, private, and hybrid cloud, in addition to infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
  2. Apply skills on how Azure supports security, privacy, compliance, and trust.

Duration: 12 weeks

Cost: Free Training + Exams Voucher + Certificate

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Google Cloud Digital Leader

Google Cloud Digital Leader

A Cloud Digital Leader can articulate the capabilities of Google Cloud core products and services and how they benefit organizations. The Cloud Digital Leader can also describe common business use cases and how cloud solutions support an enterprise.

 

OUTCOME: With this course, students will be able to-

  1. Recall fundamental cloud terminology. 
  2. Identify Google Cloud products and solutions that support digital transformation.
  3. Explain how cloud technology and data can be leveraged to innovate within organizations.
  4. Identify key change patterns and Google Cloud products for infrastructure and application modernization.

 

Duration: 12 weeks

Cost: ₦ 50,000

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IT Technical Support Engineering

IT Technical Support Engineering

The technical support engineer certificate is designed to develop skills for students seeking employment in the technical support field, which is the most common entry-level job in information technology. This certificate will develop skills in computer applications, hardware, desktop support, programming, and networking.

 

OUTCOME: With this course, students will be able to-

  1. Identify and configure key desktop settings with describing the function of key hardware in a desktop or laptop computer.
  2. Design and configure a basic corporate network, identifying the key hardware and infrastructure devices needed to connect systems together.
  3. Troubleshoot basic networking and system configuration problems.

Duration: 16 weeks

Cost:  ₦ 150,000.

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Applied Cloud computing Engineering (AWS, MS Azure & GCP)

Applied Cloud computing Engineering (AWS, MS Azure & GCP)

Applied Cloud Computing will prepare you for a career in Cloud Computing by building your AWS, Microsoft Azure and GCP expertise. You’ll learn to master the architectural principles and services of the most widely used cloud platforms and develop skills to transform yourself into a Cloud professional. It will help you become an expert in designing, planning, and scaling cloud implementation. It will enable you to master the core skill sets required for designing and deploying dynamically scalable, highly available, fault-tolerant, and reliable applications. Here we focus training on cloud computing and virtualization technologies, such as AWS, Azure, and Google Cloud

OUTCOME: With this course, students will be able to-

  1. Define what cloud computing is and understand how Cloud Computing differs from traditional self-hosted IT deployment models
  2. Compare Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS)
  3. Design sample architecture to solve real world use cases
  4. Understand how to use and optimize free tier offered by each cloud provider

Duration: 36 Weeks

Cost:  ₦ 1,400,000.

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Applied DevOps and IT Ops Engineering

Applied DevOps and IT Ops Engineering

DevOps methodology focuses on better collaboration between the Development team and the Operations team. So, DevOps engineers are individuals who oversee the entire software development lifecycle. They are instrumental in handling the code releases, implementing CI/CD pipeline, automating various processes, and solving any issues that arise during the development, deployment, or maintenance phase.

Program Focus Areas (AWS, Azure, Kubernetes, Docker, Linux, Terraform, Python, Ansible & IT Fundamentals). Learners also learn AI-driven automation and low-code/no-code development platforms.

OUTCOME: With this course, students will be able to-

  1. Develop an instrumentation strategy
  2. Develop a Site Reliability Engineering (SRE) Strategy
  3. Develop a security and compliance plan
  4. Manage source control
  5. Facilitate communication and collaboration
  6. Define and implement continuous integration

Duration: 28 weeks

Cost:  ₦ 700,000.

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Applied Information Assurance and Cybersecurity

Applied Information Assurance and Cybersecurity

In this course learners will gain understanding of the fundamentals of information assurance and cybersecurity. And they will acquire in-depth knowledge in areas such as security and privacy in network and internet systems, cyber-physical systems and critical infrastructure, Internet-of-Things, software systems and cloud computing. Our Cybersecurity program teaches students critical skills to assist in the identification, assessment, reporting, and mitigation of technology and information security risks. Here we also cover areas such as network security, threat intelligence, and incident response.

OUTCOME: With this course, students will be able to-

  1. Develop a strong and sound foundation of current data and network systems
  2. Understand security and privacy challenges in these systems
  3. Apply skills using fundamental cryptographic and cybersecurity techniques to overcome real time challenges.

Duration: 28 weeks

Cost:  ₦ 700,000.

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Applied Artificial Intelligence & Machine Learning

Applied Artificial Intelligence & Machine Learning

Artificial Intelligence is transforming the personal and professional lives of people across the world. AI refers to the development of computer systems that can perform tasks usually requiring human intelligence, such as visual perception, speech recognition, and even decision making. These technologies can be applied to a number of undertakings to benefit organizations seeking to improve outcomes and productivity. The courses also include natural language processing, computer vision, and reinforcement learning.

OUTCOME: With this course, students will be able to-

  1. Learn AI’s current capabilities and applications—and its future potential
  2. Learn how to organize and manage successful AI application projects
  3. Grasp the technical aspects of AI well enough to communicate effectively with technical teams and colleagues
  4. Learn how to avoid pitfalls associated with these new technologies

Duration: 28 weeks

Cost:  ₦ 700,000.

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Applied Data Science in Python & Big data Engineering

Applied Data Science in Python & Big data Engineering

This course leads the students from the basics of writing and running Python scripts with Machine Learning to more advanced features such as file operations, regular expressions, working with binary data. The use of this programming language is to store different types of data into a variable format. This Specialized course provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. Audiences will learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations. You’ll develop basic data literacy and an analytic mindset to help make strategic decisions based on data. This course includes Big data technologies, such as Hadoop and Spark.

OUTCOME: With this course, students will be able to-

  1. Learn basics of Advanced Python with Data Science & Machine Learning
  2. Write codes using Python Data Types Lists, dictionary, and Big Data (Hadoop and Spark) 
  3. Apply methodologies of Data Science with Java
  4. Apply Machine Learning techniques with python
  5. Explain how data is used for recruiting and performance evaluation
  6. Model supply and demand for various business scenarios
  7. Solve business problems with data-driven decision-making
  8. Understand the tools used to predict customer behavior

Duration: 28 weeks

Cost:  ₦ 700,000.

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Applied Quantum Computing Engineering

Applied Quantum Computing Engineering

The course discusses the fundamentals of quantum computing, highlighting potential technological disruptions it brings. It discusses the current capabilities of quantum computing, current use cases, as well as prospective future applications, while emphasizing security advantages and dangers, especially around secure communication and encryption.

 

OUTCOME: With this course, students will be able to-

  1. Describe the basic physics that enables quantum computing and how quantum computing will change businesses, governments, and society.
  2. Identify the problems quantum computing can, and can’t, solve well.
  3. Solve problems by combining simple one- and two-bit quantum operations.
  4. Implement quantum software by using quantum programming languages.

Duration: 28 weeks

Cost:  ₦ 700,000.

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Applied Business Intelligence & Data Visualization Engineering

Applied Business Intelligence & Data Visualization Engineering

Applied BI is a cloud-based business analytics service to stay up to date with the information and to create live operational dashboards from on-premises and cloud data in one central location across a range of devices. Whereas patterns and trends of business analytics are presented with strong Data visualization through stunning visualizations, reports, and dashboards to extract important insights. Here the learn will learn hands-on data visualization and analysis, including tools such as Tableau and Power BI

OUTCOME: With this course, students will be able to-

  1. Demonstrate how to connect, import, shape, and transform data for business intelligence (BI)
  2. Develop how to visualize data, author reports, and schedule automated refresh of your reports
  3. Describe real-time dashboards
  4. Explain dashboards based on reports in Power BI desktop and Excel
  5.  

Duration: 28 weeks

Cost:  ₦ 700,000.

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