PERL programmers need a clear roadmap for improving their skills. Intermediate PERL teaches a working knowledge of PERL's objects, references, and modules — all of which makes the language so versatile and effective. This class offers a thorough introduction to intermediate programming in PERL. Topics include packages and namespaces, references and scoping, manipulating complex data structures, writing and using modules, package implementation, and using CPAN.
Attendees to P-315: Intermediate PERL Programming will receive TechNow approved course materials and expert instruction.
Instructor comments: Instructor kept it interesting and brought a wealth of knowledge to the classroom environment. Kept a good pace and provided relevant examples.
TechNow, Inc., a training company, was founded in 1990. TechNow celebrates 35 years of regularly scheduled commercial training delivery in 2025 and has evolved into a global training company that is dynamic and able to customize our training to meet the needs of our customers. Our focus is hands-on, skills-based hardware/software and security training for those who want stay current with today’s ever-changing technologies. We are a Pearson Vue Testing Center and have developed a proven testing program, including mobile testing, that ends with certification at the end of many of our courses. Ourcourses are taught by professional educators and experts in their respective fields and bring to the classroom a wealth of knowledge from the “real world”. Our customers include many Fortune 500 companies as well as the Department of Defense, Federal Government, and Intelligence Agencies.
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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.
In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, 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-201: Designing an Azure Data Solution will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 3 days
Course Outline:
Data Platform Architecture Considerations
Azure Batch Processing Reference Architectures
Azure Real-Time Reference Architectures
Data Platform Security Design Considerations
Designing for Resiliency and Scale
Design for Efficiency and Operations
Prerequisites :
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
