TechNow has 26 years of courseware deveopment with a huge library of course material. If our standard courses are just not quite right for what you require, we can provide customized training to meet your needs! We have serviced many request for training that is aligned to customer business operations. Additionally, our security related courses can provide concise direction on how to build security programs and/or address gaps in your existing security programs. TechNow strives for 100% customer satisfaction, and customized classes is one method that TechNow uses to achieve that goal.
Together, our Classroom in a Box service and the customized class service can provide highly targeted training to your team at your location.
If you are interested in more information regarding our customized training, contact us at 800-324-2294
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:
Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.
The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.
Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value
By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.
Course Objectives:
•MLOps Principles: Model life cycle management for scalable, production-ready AI •Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives •AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization •AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions •Change Management: Workforce enablement and stakeholder alignment •KPI Development: AI metrics, success indicators, and executive dashboards •AI Governance: Risk, ethics, compliance, and responsible AI principles •Vendor Evaluation: AI platform and tool selection aligned with enterprise needs
Dates/Locations:
No Events
Prerequisites:Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.
CompTIA Cloud Essentials+ is for both IT and non-technical professionals who require the essential business acumen needed to make informed cloud service decisions. Cloud Essentials is a vendor-neutral credential designed to validate the candidate has an understanding of basic terms and definitions of cloud computing along with the different processes involved in the successful adoption of cloud computing and its implications for organizations’ use.
TechNow is a CompTIA partner and uses official CompTIA Cloud Essentials+ curriculum.
Attendees to CT-213: Cloud Essentials+ will receive TechNow approved course materials and expert instruction.
Domain 2: Business Principles of Cloud Environments
Identify and employ appropriate cloud assessments like feasibility studies, benchmarking, or gap analysis
Highlight key business aspects of cloud vendor relation adoption, and comprehend cloud migration approaches
Domain 3: Management and Technical Operations
Explain aspects of operating within the cloud, such as data management or optimization
Understand the role of DevOps in cloud environments, like API integration or provisioning
Domain 4: Governance, Risk, Compliance and Security for the Cloud
Understand risk management and response concepts related to cloud services and identify the importance and impacts of compliance in the cloud, such as regulatory concerns or international standards.
Course Prerequisites:
CompTIA recommends that a candidate have at least 6 months of experience in an IT environment, with direct involvement in IT-related tasks responsibilities and/or decision making.
Working with the TechNow lab for the PA-215: Palo Alto Networks Firewall Essentials FastTrack course has been nothing less than a techie's idea of fun. When students come in we are immediatly configuring the Cisco 3750 switches for access ports, VLANS, and trunks. We then cable the switch to the Palo Alto Networks Firewall. Each student gets their own Palo Alto Firewall Pod of hardware and software. What we find as fun is the VLAN environment, with an array of virtual machines hosted on an ESXi server that can really exercise the abilities of the Palo Alto Firewall. The DMZ VLAN hosts virtual machines that support enterprise services and also potentialy vulnerable web services. The Trust VLAN has Windows and Linux clients. The UnTrust VLAN has Web services and a VM of Kali. The hardware Firewall is additionally connected to a Management VLAN. All those VLANs are trunked into an ESXi server where the student also has a VM-Series Palo Alto Networks Firewall for High Availability.
After configuring all the trunking, VLANs, and network interfaces we learn about the firewall and configure it for the lab environment. Using Metasploitable and Kali/Metasploit nefarious penetration attempts are executed. Using packet captures, custom APP-ID's and custom signatures are generated. Custom logging and reporting are created to similate and enterprise and assist the desired Incident Response. It is always fun in a training environment to learn all about the controls available in a product, even though specific controls may not be used in the operational environment. In the end we have a good understanding of the Palo Alto Networks Firewall.
