Courses

Below you will find an overview of each program, what you will learn, how the classes are structured, and what you can expect to complete by the end of the course.

Programs include live online instruction through Zoom, hands-on projects that mirror real workplace challenges, and unlimited career services that cover coaching, resume and LinkedIn support, interview preparation, and salary negotiation. You will complete a capstone project that demonstrates your technical skills, gain lifetime access to our job board and alumni network, and keep access to course content for six months after finishing the program.

• You can find information about enrollment and financing plans here: Tuition & Financing
• Have questions? Schedule a call with an admissions advisor here: Schedule a call

 

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AI Agents & Workflow Automation

Program Syllabus: AI Agents & Workflow Automation Syllabus

This 6-week course is online, with instructor-led sessions hosted once per week from 7:00-8:00 PM EST. You can expect to spend 8-10 hours per week on coursework.

 

Technologies & Frameworks

• ChatGPT Plus: Large Language Model (LLM) subscription included
• Zapier: Connects apps, automates workflows; Pro subscription included
• Make.com: Visual, logic-rich platform for building more complex workflows
• NotebookLM: Used for research organization and input data structuring
• Miro: For visual workflow mapping and logic design

Learning Outcomes

• Identify high-impact workflows that can be automated using AI agents
• Design, build, and deploy functional AI agents using no-code tools like Make.com, Zapier, and ChatGPT
• Create reusable automation frameworks, prompt libraries, and governance systems
• Apply multi-step logic and branching workflows to handle complex, real-world scenarios
• Implement responsible AI adoption strategies with monitoring, ethics, and compliance in mind
• Deliver and present a fully operational AI agent as a capstone project demonstrating automation mastery

Program Overview

Master AI Automation, Not Just Prompts: This course takes you beyond basic AI use. You’ll learn to build real, working AI agents that automate workflows, reduce repetitive work, and drive real business results.

Spotting Automation Opportunities: Understand how ChatGPT works and its limitations Identify tasks in your workflow ready for AI automation Break down processes into triggers, decisions, and actions Use NotebookLM to organize research and inputs Start building a toolkit of repeatable automation ideas.

Mapping the Agent’s Workflow: Map a workflow using Miro with inputs, outputs, and logic paths Apply systems thinking to identify gaps and inefficiencies Use decision trees and conditional flows to design your agent Finalize one automation use case to build and deploy.

Build & Deploy Your First Agent: Build your first AI agent using Make.com, Zapier, or n8n Connect tools to automate messaging, content, or decisions Integrate ChatGPT Plus for logic, responses, and actions Define your agent's full logic stack with triggers and API calls Test and document for performance and reliability.

Operationalizing AI in the Real World: Create a rollout plan to move your agent into production Apply change management to support adoption Define roles and policies for safe and ethical AI use Build a governance framework with privacy and quality controls Ensure consistent value while minimizing risk.

Advanced Agent Chains & Multi-Step Logic: Design workflows with conditional logic and branching paths Build agents that adapt or trigger other tools based on input Break automation into modular, scalable components Pass data across tools and APIs for intelligent workflows Map and submit your advanced agent chain for review.

Capstone Project: Launch a Real Agent: Finalize, test, and present a working AI agent for a real use case Submit a complete package with diagrams, documentation, and governance Reflect on your build process and identify areas to improve or scale Leave with a portfolio-ready automation solution to showcase your skills.

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AI Prompt Engineering

Program Syllabus: AI Prompt Engineering Syllabus

This 6-week course is online, with instructor-led sessions hosted once per week from 7:00-8:00 PM EST. You can expect to spend 8-10 hours per week on coursework.

 

Technologies & Frameworks

• ChatGPT Plus: Large Language Model (LLM) subscription included
• Prompt Libraries: Organized collections of reusable prompts
• Custom GPTs: User-created AI agents tailored to specific tasks or workflows
• Workflow Automation: AI integrated into repeatable business processes
• Prompt Patterns & Iteration: Techniques to refine and debug prompts

Learning Outcomes

• Master the fundamentals of AI prompt engineering
• Create effective prompts that generate high-quality, reliable AI outputs
• Build Custom GPTs and reusable prompt libraries for real-world applications
• Integrate AI prompting into daily workflows for productivity and content creation
• Analyze and refine AI outputs to improve accuracy, tone, and business impact
• Present a portfolio-ready capstone project demonstrating your AI prompting expertise

Program Overview

Learn In-Demand AI Prompting Skills: Turn generative AI into your competitive advantage. In just six weeks, you’ll go from curious to capable by learning to design smart, structured prompts that improve output, automate workflows, and support real business goals.

Introduction to AI Prompting: Understand how generative AI and language models work Learn core techniques for prompt structure and output control Recognize AI limitations and when human input matters Write prompts for productivity, creativity, and analysis Identify practical AI use cases in your own work.

Writing with AI: Structure, Voice, and Impact: Write prompts that control tone, voice, and structure Create multi-step prompts for layered content tasks Build tailored prompts for marketing and outreach Use formatting to improve consistency across outputs Refine prompts to match audience and brand needs.

Turning Prompts into Business Intelligence: Write prompts to extract insights from data, research, and documents Guide AI through scenario-based decision-making Design workflows for marketing, operations, and HR Automate reporting and summaries with prompt-driven workflows Create reusable prompt patterns for strategic planning.

Systematizing Your AI Workflow: Build a reusable prompt library for personal or team use Create a Custom GPT for specific business needs Embed prompts into workflows for speed and reliability Document input-output patterns to scale across use cases Ensure consistent results with structured prompt systems.

Debugging Prompts & Leveling Up Output: Diagnose and refine weak prompts for better clarity and structure Adjust tone, style, and detail in AI outputs Use advanced patterns like chaining and context cues Iterate and compare prompt versions to improve accuracy Run prompt tests to validate and document improvements.

Capstone Project: Build and Present an AI Prompting Solution: Design a complete AI prompt solution for a real use case Combine strategy, structure, and refinement in your final presentation Share your rationale, process, and outputs Present to peers and instructors for feedback Walk away with a portfolio-ready prompt engineering project.

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CyberSecurity Bootcamp

Program Syllabus: CyberSecurity Bootcamp Syllabus

This 24 week program is online, with live, instructor-led sessions hosted from 6:00-9:00 PM EST on Monday and Thursday. You can expect to spend 20-25 hours per week on coursework. 

 

Technologies & Frameworks

• Wireshark: Network traffic analysis
• Nessus: Vulnerability scanning
• Metasploit: Pen testing
• Splunk: Security information and event management (SIEM)
• Autopsy: Digital forensics
• Cisco Packet Tracer: Network simulation
• OpenSSL: Encryption & certificates
• Sysinternals Suite: Windows diagnostics

Learning Outcomes

• CompTIA Security+ Certification Preparation (includes two paid attempts)
• Understand core cybersecurity frameworks
• Detect and respond to real-world threats
• Practice network security, encryption, and forensics
• Build a professional portfolio and capstone project

Program Overview

Learn in-demand skills: Dive into hands-on training in network security, ethical hacking, digital forensics, and threat detection. Simulate real-world attacks, analyze vulnerabilities, and learn to defend modern systems using the same tools as today’s top cybersecurity teams.

Threat Detection & SIEM Tools: Monitor and analyze traffic with Splunk, Wireshark, and Nessus Detect threats using SIEM platforms and AI-powered alerts Conduct vulnerability scans and real-time log analysis Respond to security events across cloud and on-prem systems.

Ethical Hacking & Digital Forensics: Use Metasploit for safe penetration testing and vulnerability discovery Apply reverse engineering to analyze malware behavior Simulate exploits like XSS, SQLi, and buffer overflows Investigate breaches with Autopsy and Sysinternals Suite Recover digital evidence and document findings for legal review.

Cryptography & Network Security: Encrypt data with OpenSSL, SSL/TLS, and PKI protocols Work with encryption standards like AES, RSA, and SHA Configure secure networks using Cisco Packet Tracer Use AI to detect anomalies in encrypted traffic Apply IAM controls, firewalls, and VPNs to protect access and reduce risk.

Cloud & AI Security Systems: Secure AWS and Azure cloud environments with strong IAM policies Apply best practices for virtualization and container security Use AI and ML to detect advanced persistent threats Understand zero-trust frameworks and EDR tools Mitigate risks like data leaks, misconfigurations, and insider threats.

Capstone Project: AI-Informed Cyber Defense: Build a full incident response plan for a real-world scenario Simulate a live cyberattack and defend using logs and analysis Apply tools like Splunk, Metasploit, Wireshark, Autopsy, and OpenSSL Document your findings in a professional security report for future prevention.

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Data Analytics Bootcamp

Program Syllabus: Data Analytics Bootcamp Syllabus

This 16 week program is online, with live, instructor-led sessions hosted from 6:00-9:00 PM EST on Monday and Thursday. You can expect to spend 20-25 hours per week on coursework. 

 

Technologies & Frameworks

• Excel: Spreadsheet analysis, formulas, pivot tables, Power Query
• SQL: Querying and managing data in relational databases
• Python: Programming for data analysis, visualization, and automation
• Tableau: Interactive dashboards and data storytelling
• Git & GitHub: Version control and collaborative workflows
• ChatGPT: Prompt engineering for data summarization and productivity

Learning Outcomes

• Analyze and visualize data using Excel, Python, and Tableau
• Write SQL queries to extract, join, and manipulate datasets
• Clean, structure, and interpret data for actionable business insights
• Present findings through clear storytelling, dashboards, and stakeholder-ready reports
• Apply prompt engineering techniques with ChatGPT to streamline analysis and reporting workflows
• Build a professional portfolio with projects that mirror real-world business scenarios
• Confidently pursue roles such as Data Analyst, Business Analyst, Operations Analyst, or Marketing Analyst

Program Overview

Learn In-Demand Data Skills: Master the tools of tomorrow—Python, SQL, Tableau, and AI copilots like ChatGPT. Build a job-ready portfolio and learn how to make data-driven decisions that actually drive results.

Excel & AI Prompt Engineering: Clean and organize data using Excel, Power Query, and pivot tables Automate tasks and transform datasets for real-world use Use ChatGPT to generate formulas, charts, and insights Practice prompt engineering to get better results from AI tools.

SQL for Real-World Databases: Understand relational databases and entity relationships Write SQL queries with joins, filters, and subqueries Use window functions for advanced analysis Apply SQL to real business problems and large datasets Extract insights that support decision-making.

Python for Data Automation: Automate tasks and streamline workflows with Python Learn core concepts like variables, functions, and collections Analyze data using Pandas and NumPy Perform statistical analysis to uncover trends Use AI tools to accelerate coding and problem-solving.

Data Visualization & Communication: Build interactive dashboards in Tableau with charts and filters Apply visual analytics to tell clear data stories Design presentations in Canva to share insights effectively Present findings to non-technical audiences with confidence Strengthen your data storytelling for business impact.

Capstone Project: Solve a Real Business Problem: Use a real dataset and sponsor for your capstone project Apply the full data workflow from cleaning to presentation Integrate Python, SQL, Tableau, and AI tools into a portfolio-ready case study.

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Have questions? Schedule a call with an admissions advisor here: Schedule a call