Course Curriculum

Full Stack Fluency

This course is designed to turn average “reps” into true Trusted Advisors in the technology space. It’s also built to give you the pre-requisite knowledge to learn AI without having to backtrack and fill in your gaps on everything from cloud to hardware and algorithms.

Specifically curated for non-technical SC/SEs, AEs, and CSMs, this course gives you the historical context to sound like an industry vet and the technical concepts needed to tell revenue-generating stories of software that resonate and convert.

Curriculum (Six Modules)

Computing

Learn how computing evolved from massive mainframes to the cloud, and what servers, data centers, and hardware actually do. You’ll emerge able to explain where SaaS lives, why infrastructure questions come up, and avoid blank stares when "the backend" gets mentioned.

Learn fundamentals in:

  • Computer History

  • Hardware & Software

  • Types of Computers

  • CLI, GUI, & APIs

  • IT Infrastructure

  • Data Centers

Software

Understand how software unbundled from hardware, moved to the cloud, and became the SaaS apps you sell today. This helps you talk clearly about systems, platforms, and integrations—so you don’t confuse apps with APIs or on-prem with cloud.

Learn fundamentals in:

  • Software History

  • Types of Software

  • Data, Information, & Data Stores

  • Tech Stack for Software

  • Software System Indicators

Cloud Computing

See how the cloud transformed IT from physical servers to on-demand services, and why SaaS, AI, and APIs depend on it. This helps you handle cloud questions in sales cycles—like security, scalability, and “where does our data actually live?”

Learn fundamentals in:

  • Cloud History

  • Core Cloud Concepts

  • How Organizations Implement Clouds

  • Types of Cloud Services

  • Key Features & Tech in Cloud Computing

SaaS (Traditional & AI-Powered)

Learn how SaaS replaced on-prem software with cloud platforms—and how APIs, AI, and data pipelines define today’s products. This helps you explain what makes SaaS SaaS, how AI fits into products, and why customers ask about integrations and compliance.

Learn fundamentals in:

  • SaaS History

  • Multi-Tenancy & Instances

  • On-Premises vs. SaaS

  • SaaS Architecture: Backend & Frontend

  • API-Based SaaS

Software Development

Learn how software came to be and how software engineering evolved along wtih it. Understand the key methodologies, approaches, and processes behind getting software ideated, tested, built, delivered, and iterated. Understand how data pipelines train AI model powering more and more software today.

Learn fundamentals in:

  • History of Engineering

  • Core People & Teams

  • Methodologies, Architectures, & Virtualization

  • The SDLC & MVPs

  • The CI/CD Pipeline

APIs

See how APIs became the backbone of SaaS, connecting apps, platforms, and AI services through the web. This helps you speak to integrations, data flows, and API-based features—without panicking when a customer mentions endpoints or SDKs.

Learn fundamentals in:

  • History of APIs

  • Core Concepts in APIs

  • All About REST APIs

  • Web API Deep Dive

  • Platform Technologies & Ecosystems