Course Overview:

C-225: C++ Object Oriented Programming is a hands-on course that provides a complete introduction to the ANSI Standard C++ programming language, focusing on quickly developing the practical skills needed to create real-world solutions.  Our hands-on labs are designed to promote retention and challenge students to apply their skills to new situations.

C++ is more than just C with classes.  It is a whole new language with a structure similar to C, but with significant differences to warrant a complete course to cover its features.

Attendees to C-225: C++ Oriented Programming will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Classes
  • Casting in C++
  • Constructors & Destructors
  • Class Methods & Data
  • Inheritance
  • Overloaded Functions
  • Virtual Functions
  • Overloaded Operators
  • Pure Virtual Functions
  • Exception Handling
  • References & Constants
  • Standard Template Library
  • New and Delete
  • STL Containers

Prerequisites:

 

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User: christinehejnal

Instructor comments: The material was made clear, however I don't agree that she shouldn't have catered towards the people not taking the exam.

Facilities comments: The facilities were cold and very noisy, I found it hard to concentrate.


User: mamacker1

Instructor comments: Informative instructor. Definitely not monotone. I'd recommend it to my sister if I had one.


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Course Overview: 

This class uses a sample product development initiative to illustrate the course principles.  If you need to learn what is required to lead or participate in an Agile effort using the SCRUM approach within your organization, this course will cover the Agile adaptive life cycle framework and all of the ceremonies, artifacts, and roles.

Attendees to PM-222: Agile Principles using will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 Days

Course Objectives: At the conclusion of this course, students will be able to:

  • Compare the Agile (adaptive) and Plan Driven (predictive/ waterfall) approaches
  • Understand the Agile Manifesto and SCRUM Framework
  • Apply the basics of Agile / SCRUM Team Organization, with importance of the Development Team responsibilities
  • Use Agile / SCRUM chartering, high-level estimating, and prioritization techniques to initiate a Product Roadmap and a Product Backlog
  • Create personas and user stories to lead to Development Team task assignments
  • Understand Release and Sprint Planning to lead to the Sprint Backlog
  • Plan and conduct a sample SCRUM Sprint from the Vision Statement through the Sprint retrospective

 

Target Student:

  • Designed specifically for Agile project team members, product owners, project leaders and senior managers or anyone wanting to understand the Agile Framework.

 

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TechNow,Inc is an Accredited Training Center. As an ATC we are authorized to conduct EC-Council curriculum courses. Students will receive official EC-Council Curriculum and access to iLabs and when applicable access to EC-Council Cyber Range.


Here are the EC-Council course offerings:

in   

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. 

TN-412: Artificial Intelligence Essentials (AI|E)

 

 

Course Overview:

Getting started with the Elastic Stack (ELK), optimizing search performance and building efficient clusters. Ingest and process data, writing complex search requests and response utilization, scaling of clusters up or down, managing indices in large clusters and multiple clusters, management of clusters and troubleshooting recommendations.

Attendees to TN-430: Elasticsearch Engineer (ELK) will receive TechNow approved course materials, expert instruction, and prepare you to take ELK exam.

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Dates/Locations:

No Events

Duration: 5 Days

Course Outline:

Data Management

  • Define an index that satisfies a given set of requirements
  • Define and use an index template for a given pattern that satisfies a given set of requirements
  • Define and use a dynamic template that satisfies a given set of requirements
  • Define an Index Lifecycle Management policy for a time-series index
  • Define an index template that creates a new data stream

Searching Data

  • Write and execute a search query for terms and/or phrases in one or more fields of an index
  • Write and execute a search query that is a Boolean combination of multiple queries and filters
  • Write an asynchronous search
  • Write and execute metric and bucket aggregations
  • Write and execute aggregations that contain sub-aggregations
  • Write and execute a query that searches across multiple clusters
  • Write and execute a search that utilizes a runtime field

Developing Search Applications

  • Highlight the search terms in the response of a query
  • Sort the results of a query by a given set of requirements
  • Implement pagination of the results of a search query
  • Define and use index aliases
  • Define and use a search template

Data Processing

  • Define a mapping that satisfies a given set of requirements
  • Define and use a custom analyzer that satisfies a given set of requirements
  • Define and use multi-fields with different data types and/or analyzers
  • Use the Reindex API and Update By Query API to reindex and/or update documents
  • Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
  •   Define runtime fields to retrieve custom values using Painless scripting

Cluster Management

  • Diagnose shard issues and repair a cluster’s health
  • Backup and restore a cluster and/or specific indices
  • Configure a snapshot to be searchable
  • Configure a cluster for cross-cluster search
  • Implement cross-cluster replication

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