Available 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
• See what our graduates and Alumni have to say about their experience on Trustpilot

Applied AI Skills

Program Syllabus: Applied AI Skills Syllabus

This 12-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: AI assistant subscription included during the program
• Claude: AI assistant used for prompting and content generation
• Zapier: No-code workflow automation platform
• Make.com: No-code automation and app integration platform
• n8n: Workflow automation platform for building AI agents
• NotebookLM: AI-powered research and source organization tool
• Miro: Visual workflow mapping and collaboration platform

Learning Outcomes

• Create effective prompts for research, content, analysis,
  decision-making, and more
• Evaluate and improve AI outputs for accuracy, relevance, and consistency
• Build reusable AI tools tailored to professional needs
• Identify and map workflows that can benefit from AI automation
• Design functional AI agents using no-code platforms

Program Overview

MASTER PRACTICAL AI SKILLS:  Learn how to use generative AI for research, content, analysis, communication, decision- making, and real workplace problem-solving.

HANDS ON PROJECTS + AI TOOLKIT ASSIGNMENTS: Apply what you learn each week through guided exercises and practical projects based on realistic professional needs and challenges.

BUILD CUSTOM AI TOOLS: Create reusable prompt libraries and custom GPTs
tailored to your role, recurring responsibilities, and professional objectives.

DESIGN AI AGENTS & AUTOMATIONS: Move beyond one-off tasks by building no-code AI agents that connect tools, follow logic, and automate multi-step workflows.

LIVE WEEKLY EXPERT INSTRUCTION: Join a live instructor-led session each week for demonstrations, guided practice, project feedback, and emerging developments in AI.

PORTFOLIO-READY CAPSTONE: Complete and present a functional AI solution that demonstrates your ability to apply AI skills to a meaningful real-world challenge.

CyberSecurity Bootcamp

Program Syllabus: CyberSecurity Bootcamp Syllabus

This 15 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.

Data Analytics Bootcamp

Program Syllabus: Data Analytics Bootcamp Syllabus

This 15 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.

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