TechNow has been training IT, programming, and Cyber Security for over 28 years. To stay competitive and to adequately secure an enterprise, organizations need to move towards the DevOps Model. DevOps breaks down barriers between the developer and operations teams to improve collaboration and communication.
DevOps is radically changing the way organizations design, build, deploy, and operate online systems. Development and Operations teams come together to move requirements through a continuous workflow.
DevOps leaders deploy hundreds of changes every day, utilizing Continuous Integration and Continuous Delivery to leave their competitors behind. As DevOps becomes commonplace, organizations need to evolve their security practices to the DevOps Model.
In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.
The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.
TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.
Attendees to DP-200: Implementing an Azure Data Solution will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 4 days
Course Outline:
Azure for the Data Engineer
Working with Data Storage
Enabling Team Based Data Science with Azure Databricks
Building Globally Distributed Databases with Cosmos DB
Working with Relational Data Stores in the Cloud
Performing Real-Time Analytics with Stream Analytics
Orchestrating Data Movement with Azure Data Factory
Securing Azure Data Platforms
Monitoring and Troubleshooting Data Storage and Processing
Prerequisites :
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use
The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries
Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.
By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.
This intensive hands-on class teaches students to develop customized UNIX™ commands, read & write Bourne, Korn & Bash Shell scripts & automate critical server functions. The course includes extensive lab exercises, including hands-on development & debugging of shell scripts, which will give students the ability to be more efficient and productive in less time. The focus of the course will be the Bash shell.
Attendees to TN-215: Shell Programming will receive TechNow approved course materials and expert instruction.
The course teaches students to use the sort, grep, sed, & awk utilities within Unix. Systems administrators, Unix users, & programmers benefit from the course showing them how to use the command line applications of sort, grep, sed, & awk commands as well as using sed & awk scripts that develop the users skills with the full power of these utilities.
Attendees to TN-223: Advanced Shell Programming will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 3 Days
Course Objectives:
Sorting files by line or field
Regular Expressions (meta character) with grep commands to locate specific lines in files
Performing non-interactive editing tasks with the sed command
Writing simple sed scripts to perform complex editing tasks
Using awk variables & arrays to sort data
Employing awk programs to manipulate numeric & textual data
Performing formatted printing in awk
Writing simple awk programs to write reports from data files
Using built-in awk functions & defining new functions
Write awk programs that make decisions based on numeric or string comparisons (branches & loops)
Grep, egrep extended metacharacters, combinations-lab advanced combinations- lab Sed
Students should have a basic knowledge of UNIX commands including rm, cp, man, cat, & mkdir. Navigating directory structure using commands such as ls, cp, & pwd. Creating and editing files with the vi editor or text editor. Use of basic programming constructs, & commands such as variables & loops & how to write a simple program in a programming language.
