AI-Native Tech Ecosystem
Curriculum
Self-paced. Code from day one. General studies build the foundation, then specialize — engineering, sales, project management, or teaching. Graduate into paid roles at every stage.
General Studies — Phases 1–3
The undergraduate core. Every student completes these three phases.
Sequential courses building from zero to working with structured data. No prior experience required.
How Computers Work
- Binary & data representation
- Memory & storage
- CPU execution cycle
- What happens when code runs
Variables & Types
- Strings, numbers, booleans
- Declaring and assigning variables
- Type conversion
- Console output & debugging
Logic & Control Flow
- Comparison operators
- If / else / else-if
- Boolean logic — AND, OR, NOT
- Loops — for and while
- Nested conditions
Functions
- Defining and calling functions
- Parameters and arguments
- Return values
- Scope and variable lifetime
- Pure functions vs side effects
Students learn data structures by building with real market data — stocks, portfolios, and price history become the examples.
Data Structures & Financial Markets
- Arrays — stock price history and time series
- Objects — modeling a stock: ticker, price, volume, market cap
- Dictionaries — building a portfolio: ticker → shares held
- Nested structures — candlestick data and order books
- Iteration — scanning a watchlist, filtering by criteria
- Choosing the right structure for financial data
Algorithmic Complexity & Efficiency
- Big O notation — measuring time and space
- Linear vs. logarithmic vs. quadratic — what scales and what breaks
- Sorting algorithms — bubble, merge, quick — and when each wins
- Search algorithms — linear scan vs. binary search on sorted data
- Hash maps and sets — O(1) lookups and why they matter
- Analyzing your own code — profiling loops and nested operations
CS foundations and market knowledge converge into real builds.
Trading Algorithm
- Reading and structuring price data
- Moving averages — SMA, EMA
- Buy / sell signal logic
- Backtesting with historical data
- Risk and position sizing basics
Classes & OOP
- What is a class — blueprints for objects
- Constructors and properties
- Methods — functions that belong to a class
- Inheritance basics
- When to use classes vs functions
APIs & Live Data
- What is an API — request and response
- HTTP methods and status codes
- Fetching and parsing JSON
- Building an API client class
- Pulling live market data
Final Assessment
Final Exam
Two-part exam. Part 1 proves you can code. Part 2 proves you can architect, build with AI, and defend your work.
Part 1
No AI. No notes. Timed.Code from Scratch
Prove you can write code without assistance. Build a working class with methods, logic, and state — from memory.
- Build a BankAccount class from scratch
- Constructor — owner name, starting balance
- Deposit and withdraw methods with validation
- Transfer between two accounts
- Transaction history using an array
Part 2
AI allowed. Architecture is graded.Architect & Build with AI
Design the class structure for a BlackJack game, build it with AI, then defend your decisions. Instructor will ask you to modify a feature live.
- Whiteboard the architecture before writing any code
- Card, Deck, Player, Game — explain why each is a class
- Build the game using AI as a tool, not a crutch
- Instructor asks for a live modification — adapt on the spot
- Explain any line of code when asked
What actually happens when machines talk to each other. No magic, just packets.
How the Internet Works
- TCP/IP — packets, addresses, routing
- HTTP — what happens when you click a link
- DNS — turning names into addresses
- Client-server model
- Ports and protocols
Understand threats before you build. Security mindset applied to everything that follows.
Cybersecurity Fundamentals
- The threat landscape — who attacks, why, and how
- Encryption basics — symmetric, asymmetric, hashing
- Authentication & authorization — passwords, tokens, OAuth
- Network security — firewalls, TLS, man-in-the-middle attacks
- OWASP Top 10 — the vulnerabilities every developer must know
- Security mindset — thinking like an attacker to build better defenses
Storing data and serving it. Students spin up real infrastructure.
Databases
- What is a database — why persistent storage matters
- Tables, rows, and columns
- SQL — SELECT, INSERT, UPDATE, DELETE
- Modeling data — stock portfolio as tables
- Querying, filtering, and joins
Spinning Up Servers
- What is a server — a program that listens
- Running a local HTTP server
- Handling requests and sending responses
- Routing — mapping URLs to logic
- Lab: serve stock data from Phase 1 over HTTP
Go below HTTP. Sockets, raw data, multiple machines talking to each other.
Raw Networking & Sockets
- Sockets — direct machine-to-machine connections
- TCP vs UDP — reliability vs speed
- Sending and receiving raw data
- Lab: two-terminal chat over sockets
- Lab: file transfer between machines
Mini Distributed Network
- Multiple nodes communicating
- Data replication — syncing state across servers
- Leader election basics
- Failure handling — what happens when a node goes down
- Lab: 3-node network that replicates a shared dataset
Final Project
Final Project — Stock Data Network
Build a multi-node stock data service. One server fetches and stores data, others replicate from it, clients can query any node.
Students connect a front end to the back end they built in Phase 2. Same stack used at Blackshore — TypeScript and React.
The Browser & Developer Tools
- How browsers render pages — the critical path
- The DOM — what it is, how to inspect and manipulate it
- JavaScript in the browser — console, events, debugging
- Layout architecture — how components organize visually
- Network tab — watching requests hit your Phase 2 server
HTML & TypeScript
- HTML structure and semantic markup
- Why types matter — catching bugs before they run
- Type annotations, interfaces, and generics
- Union types and narrowing
- Strict mode and compiler feedback
- Lab: add types to your Phase 2 backend code
React & Component Architecture
- Components — functions that return UI
- Props, state, and the render cycle
- Hooks — useState, useEffect, useRef
- Architectural thinking — when to split, when to compose
- Lab: build a front end on your Phase 2 backend
Design thinking for developers. Runs parallel to the TypeScript/React track.
UI/UX Design Principles
- Layout, visual hierarchy, and spacing
- Color theory and typography for the web
- User flows and wireframing
- Accessibility — building for everyone
- Lab: redesign an existing page with UX improvements
Two deployment targets — students own the full pipeline from hardware to cloud.
On-Premise Deployment
- Your hardware, your rules — what on-prem means
- Setting up a local server on physical hardware
- Networking — port forwarding, firewall, static IPs
- SSL certificates and domain routing
- Lab: deploy your full stack app on a local machine
Cloud Deployment — AWS
- AWS ecosystem overview — EC2, S3, Route 53
- Spinning up an EC2 instance from scratch
- Security groups, SSH, and access control
- Installing dependencies and running the app remotely
- Lab: deploy the same app to AWS
Final Project
Final Project — Build for a Real Client
Build a full-stack internal tool for a real business or organization. Gather requirements, build it, deploy it, and present it.
Milestone
Prototype Lab Access
Phase 3 graduates are cleared for client-facing project work. Paid engagements begin here.
Elective — not required to advance
Consultative Tech Sales
- Understanding tech products from a sales perspective
- Needs discovery — asking the right questions
- Value propositions — translating features into business outcomes
- The consultative sale — trusted advisor, not closer
- Lab: pitch a Blackshore service to a panel
The Ecosystem & CRM
- The full Blackshore ecosystem — every product and service you can sell
- CRM platform — leads, pipeline stages, deal tracking, forecasting
- Partner network — what partners offer and how to package it
- Daily CRM workflow — prospecting, follow-ups, pipeline reviews
- Lab: build and manage a live sales pipeline
Sales Practicum
- Run real sales cycles — Prototype Lab projects, program enrollment, partner services
- Handle objections, negotiate terms, close deals
- Client relationship management — retention and expansion
- Sales reporting and pipeline reviews with leadership
- Certification: demonstrate a full sales cycle end-to-end
Advanced Studies — Phases 4–5
DevOps, leadership, and entrepreneurship. The path to Blackshore Technologies.
Version control as a team sport. Students work in shared repos for the first time.
Git & Version Control
- What Git tracks and why it matters
- Commits, branches, and merge conflicts
- Pull requests and code review workflows
- Branching strategies — feature branches, trunk-based
- Lab: collaborate on a shared repo with classmates
Real project management with real stakeholders. Students run sprints with live clients.
Scrum & Agile Principles
- Agile mindset — iterating vs. planning everything upfront
- Scrum roles — product owner, scrum master, dev team
- Sprint planning, standups, and retrospectives
- User stories and acceptance criteria
- Estimating work — story points and velocity
Sprint 1 — Client Project
- Meet with the client to gather requirements
- Write user stories and build a backlog
- Plan and execute a two-week sprint
- Daily standups and blockers
- Sprint review — demo to client, get feedback
Sprint 2 — Iterate & Deliver
- Sprint retrospective — what worked, what didn't
- Refine the backlog based on client feedback
- Execute a second sprint with improved process
- Handle scope changes and re-prioritization
- Sprint review — deliver working software to the client
Automate everything. Tests, builds, and deployments should run themselves.
CI/CD Pipelines
- What is CI/CD — from manual deploys to automation
- Build pipelines — lint, test, build, deploy
- GitHub Actions and workflow configuration
- Environment promotion — staging to production
- Lab: set up a pipeline that auto-deploys on merge
Keep systems running. Monitoring, incident response, and reliability as a discipline.
SRE Principles & Monitoring
- What is SRE — reliability as a feature
- SLIs, SLOs, and error budgets
- Monitoring and alerting — knowing before users do
- Logging — structured logs, log levels, searching
- Lab: add monitoring and alerts to a deployed application
Incident Response & On-Call
- Incident lifecycle — detect, respond, resolve, review
- On-call rotations and escalation paths
- Postmortems — blameless analysis of what went wrong
- Runbooks — documenting how to fix common issues
- Lab: simulate an outage and run an incident response
Infrastructure as Code
- Why infrastructure should be versioned like application code
- Configuration management — defining environments in files
- Reproducible deployments — same config, same result
- Secrets management — keeping credentials out of repos
- Lab: define and deploy an environment from a config file
Final Project
Final Project — Managed Delivery
Run a full sprint cycle delivering a feature for a real client, with a CI/CD pipeline, production monitoring, and incident response in place.
Milestone
Blackshore Engineer
Phase 4 graduates enter the Blackshore Technologies network. Contractor and full-time engineering roles begin here.
Elective — not required to advance
Program & Portfolio Management
- Beyond sprints — managing multiple projects simultaneously
- Resource allocation and capacity planning across teams
- Risk management — identifying, tracking, mitigating at scale
- Program-level reporting and executive communication
- Lab: build a portfolio dashboard for concurrent projects
Technical Project Leadership
- Leading cross-functional teams — engineering, sales, design
- Stakeholder management — executives, clients, partners
- Change management — scope changes, re-prioritization, communication
- Delivery metrics — velocity, quality, predictability
- Lab: lead a real project delivery for Blackshore Technologies
PM Practicum & Certification
- Manage a full project lifecycle within Blackshore Technologies
- Coordinate across engineering, sales, and stakeholders
- Deliver on time, on scope, document lessons learned
- Final review by program leadership
- Certification as a Blackshore Technologies Project Manager
The hardest technical work in the program. System design, data engineering, and AI — built, not just discussed.
System Design & Architecture
- Designing systems at scale — trade-offs, bottlenecks, failure modes
- Whiteboarding architecture — the interview and the real thing
- Monolith vs. microservices — when each makes sense
- Caching, queuing, and load distribution patterns
- Lab: design and build the architecture for a multi-service platform
Data Engineering & Analytics
- Data pipelines — ingestion, transformation, storage
- Building dashboards that drive real decisions
- Metrics that matter — vanity metrics vs. signal
- SQL at scale — aggregations, window functions, performance
- Lab: build a data pipeline and executive dashboard from raw data
AI, Automation & Prompt Engineering
- AI as infrastructure — integrating models into production systems
- Prompt engineering at depth — system design for LLM workflows
- Automation strategy — what to automate, what to keep human
- Building AI-powered features — not toys, production services
- Lab: build and deploy an AI-powered automation for a real workflow
How to get clients and communicate value. Build the marketing machine, not just the product.
Marketing & Brand Strategy
- Positioning — who you serve and why they care
- Building a brand as a tech company, not just a developer
- Content marketing — writing, speaking, showing your work
- Digital presence — website, SEO, social strategy
- Lab: build a full marketing plan and brand identity
Sales & Revenue Operations
- The sales process — from lead to signed contract
- Pricing strategies — hourly, project, retainer, equity
- Proposals that win — structure, positioning, and presentation
- CRM and pipeline management — build it, track it, close it
- Lab: pitch a tech service to a panel and handle objections
Building and running a tech company with financial discipline, operational rigor, and scalable strategy. The hardest business work in the program.
Management & Technical Leadership
- Leading engineers — delegation, accountability, trust
- Hiring, evaluating, and growing technical talent
- Technical debt as a business decision — when to pay it down
- Managing up, down, and across — communication at every level
- Lab: lead a team through a build sprint as the technical manager
Financial Modeling & Business Strategy
- Revenue models for tech companies — what actually works
- Unit economics — cost to serve, margins, break-even
- Financial projections — building a model, stress-testing it
- Fundraising basics — bootstrapping vs. capital, term sheets
- Lab: build a financial model for a tech company in a spreadsheet
Building a Tech Company
- Financial discipline — margins, cash flow, runway management
- Business formation — LLC, contracts, liability, operations
- Building a company that scales and sustains itself
- The institutional standard — excellence, rigor, and professionalism
- Case study: Blackshore Technologies and the ecosystem model
Final Project
Dissertation — Tech Company Design
Design a technology company end-to-end. Technical architecture, financial model, marketing strategy, and a working prototype. Present as a dissertation to program leadership and mentors.
Specialty Track
Instructor Training
Available to Phase 3+ graduates. Learn to navigate Blackshore's internal tools and course platform. Like professors at a university, instructors help shape and improve the curriculum — mentoring students and maintaining the standard of excellence. This is a paid role.
Phase 3+ requiredCredentials
Each milestone earns a credential and a physical token.
Prototype Lab
Phase 3 graduate
Build real projects for clients. Part-time paid work begins here.
Sales Certified
Sales Certificate
Sell across the ecosystem — Prototype Lab, enrollment, partner network, and every service on the CRM.
Blackshore Engineer
Phase 4 graduate
Enter the Blackshore Technologies network. Contractor and full-time engineering roles.
PM Certified
PM Certificate
Lead projects and teams within Blackshore Technologies alongside engineering.
Instructor
Instructor Training
Certified to teach in the program. Paid role shaping the next generation.
Dissertation
Phase 5 graduate
Full tech leadership credential. Technology company design and defense.
Expected Timeline
Self-paced — move faster or slower based on your schedule. Estimates assume 10–15 hours per week.
Foundations
10 courses
3–4 months
~4 mo total
Systems & Networking
7 courses
2–3 months
~7 mo total
Full Stack & Deployment
7 courses
3–4 months
~11 mo total
PM, DevOps & SRE
9 courses
3–4 months
~15 mo total
Tech Leadership
9 courses
4–6 months
~19 mo total
42 courses
·17–22 months typical completion
·Paid work begins at Phase 3 (~10 mo)
Elective certificates (Sales, PM, Instructor) add 2–3 months each and can be taken alongside or after the core phases.
Career Outcomes
Roles and income ranges based on curriculum skill level. Sources include BLS, Glassdoor, PayScale, and ZipRecruiter (2025–2026).
Full-Stack Engineer
Phase 3+
$70k – $110k
DevOps / SRE
Phase 4+
$80k – $120k
Technical Project Manager
PM Certificate
$70k – $100k
Tech Sales & Account Exec
Sales Certificate
$55k – $95k OTE
Technical Educator
Instructor Track
$50k – $85k
Fractional CTO
Phase 5
$75 – $150/hr
Agency Owner
Phase 5
$60k – $150k+
National averages for 1–2 years experience. Sources: BLS, Glassdoor, PayScale (2025–2026). Multiple roles can be stacked into a portfolio career.