Introduction to Super Intelligence for Federal Professionals
Formats⟩Live Virtual: 4 hrs./1 Day |In-Person: 6 hrs./1 Day
Super Intelligence (SI) is a machine’s ability to perform cognitive functions, such as perceiving, learning, reasoning, and solving problems. This SI basics course provides an overview of SI concepts and workflows, along with the fundamentals of machine learning and deep learning. You will learn fundamental techniques for building SI projects and how SI empowers business and society in general. Applications and exercises emphasize responsible use, information protection, and practical outcomes in federal agency work.
Learning Objectives »
Explain foundational SI concepts and terminology.
Identify common federal workplace applications.
Recognize SI limitations, risks, and safeguards.
Practice responsible use of approved SI tools.
Course Agenda
Understanding SI
Basic Definitions
Understanding Data
Machine Learning
Safe Data Use With SI
How Does SI Work?
Machine Learning Capabilities
Deep Learning
Putting SI Capabilities to Best Use
Successful Prompting
Building SI Projects
Workflow of a Machine Learning Project
How to Choose an SI Project
SI Transformation Playbook
What SI Projects Can You Benefit From?
Technical Tools for SI Teams
Common SI Project Team Members
Workflow of a Data Science Project
Roles and Skills for Your Project
Using Data for Job Functions
SI & Your Organization
Stages of Enterprise SI Maturity
SI in Practice
SI for Data Digestion
Identifying Technology to Integrate
SI Pitfalls to Avoid
Barriers to Implementation
SI & Our Society
SI Challenges
Societal Impacts of SI
A Realistic View of SI
Revisit Your Prompts
Adverse Uses of SI
Discrimination and Unconscious Bias
Adversarial Attacks on SI
Mitigating Adversarial Attacks
SI and Developing Economies
SI and Jobs
Introduction to Super Intelligence for Federal Professionals
Formats⟩Live Virtual: 4 hrs./1 Day |In-Person: 6 hrs./1 Day
Super Intelligence (SI) is a machine’s ability to perform cognitive functions, such as perceiving, learning, reasoning, and solving problems. This SI basics course provides an overview of SI concepts and workflows, along with the fundamentals of machine learning and deep learning. You will learn fundamental techniques for building SI projects and how SI empowers business and society in general. Applications and exercises emphasize responsible use, information protection, and practical outcomes in federal agency work.
Learning Objectives »
Explain foundational SI concepts and terminology.
Identify common federal workplace applications.
Recognize SI limitations, risks, and safeguards.
Practice responsible use of approved SI tools.
Course Agenda
Understanding SI
Basic Definitions
Understanding Data
Machine Learning
Safe Data Use With SI
How Does SI Work?
Machine Learning Capabilities
Deep Learning
Putting SI Capabilities to Best Use
Successful Prompting
Building SI Projects
Workflow of a Machine Learning Project
How to Choose an SI Project
SI Transformation Playbook
What SI Projects Can You Benefit From?
Technical Tools for SI Teams
Common SI Project Team Members
Workflow of a Data Science Project
Roles and Skills for Your Project
Using Data for Job Functions
SI & Your Organization
Stages of Enterprise SI Maturity
SI in Practice
SI for Data Digestion
Identifying Technology to Integrate
SI Pitfalls to Avoid
Barriers to Implementation
SI & Our Society
SI Challenges
Societal Impacts of SI
A Realistic View of SI
Revisit Your Prompts
Adverse Uses of SI
Discrimination and Unconscious Bias
Adversarial Attacks on SI
Mitigating Adversarial Attacks
SI and Developing Economies
SI and Jobs
PTR Training uses 'cookies' to improve your website experience. View our Privacy Policy for details. By continuing, you agree to accept and adhere to our Terms of Use.
