This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS core services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.AWS technical experts who support various Federal and DoD customers will be on h...

Federal agencies with a well-rounded IT situational awareness capability can provide decision makers with the depth and breadth intelligence to gain greater IT visibility to run their operation better in support of their mission. Leaders can gain insights on what IT products are running in the environment, how much they are paying for them, which digital assets are at risk of cyber incidents, and how to move them to the cloud intelligently and...

The June 2022 Enterprise Data & AI event is hosting featured guest speaker Srinivasan Sankar, Enterprise Data & Analytics Leader at the Hanover Insurance Group and his presentation ‘Modern Data Strategy and Architecture – How Hanover is Designing for the future’ on Thursday, June 2, 2022 from 11:30 AM - 1 PM ET! Accelerating Digital Transformation with the ability to run analytics on all structured and unstructured da...

The Certified Ethical Hacker certification is one of the most sought-after cybersecurity certifications around the globe. Organizations like the DoD and ANSI have endorsed and/or accredited the CEH course. Want to Master CEH? This program incorporates instruction and practice to get students ready to take the CEH certification exam as well as the CEH Practical Exam. Candidates who successfully pass both exams earn the CEH Master credential as...

Financial regulators and law enforcement agencies were already stretched thin investigating huge volumes of suspicious activity reports filed annually by financial institutions. This problem has become incredibly hard with the rising number of cybercrimes and cryptocurrency crimes, as well as the need to monitor and enforce new Russian sanctions that are historically unprecedented in scale and scope. Government agencies are struggling to cope...

Federal, state, and local government grant programs support a wide range of critical services, ranging from economic development to disaster recovery to health and human services. Legacy grants management processes can be cumbersome and even subject to waste, fraud, and abuse. This is where technology can help, by simplifying and streamlining processes while strengthening internal controls and providing accurate, real-time visibility for stake...

The CPMAI methodology is the industry’s best practice methodology for successful AI & ML projects. Cognilytica’s CPMAI training and certification prepares you to succeed with your AI & ML efforts, whether you’re just beginning or are well down the road with implementation. In this course, trainees will learn the following: Fundamentals of AI and ML Terminology and concepts The Seven Patterns of AI AI Project Managemen...

The Advanced Process Management: From Automation to Intelligence course provides fundamental understanding of automation systems and increasing levels of intelligence with step by step practical guidance. This course provides a detailed overview of Robotic Process Automation (RPA) and process automation systems, including evolution of Business Process Management (BPM) and Business Process Integration (BPI), moving to higher levels of intellige...

The Practical & Comprehensive Ethical & Responsible AI Framework Development Training & Certification provides a comprehensive deep dive into the components of ethical & responsible AI frameworks and provides a guided, step by step approach for crafting an implementable Ethical and responsible AI framework. This course dives deep into a comprehensive ethical AI framework, which standardizes ethical frameworks from over 60 organ...

Developing AI and machine learning models is just the first step to keeping AI and ML systems performing and providing their needed value to the organization. In addition, organizations are realizing the need to manage models produced by other parts of their organization of third-parties. The developing area of Machine Learning Operations (ML Ops) and additional aspects of machine learning lifecycle management has emerged to address these need...