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Find the right path to a meaningful career

Learn about different career opportunities, skill sets, and courses to find out which option best fits your interests and strengths. Every path is a part-time AI program of 4 to 6 months.

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01 · career track

AI Software Engineering

Software engineering is a good career option for people who are interested in designing, developing, and maintaining software systems.

It’s well-suited to people with a passion for continuous learning, solving complex problems, and creating effective solutions, and who enjoy working on a team to build complex systems. Today that increasingly means building with AI.

// you may excel in software if

You are a lifelong learner, a logical thinker, and have strong communication skills.

Explore AI Software Engineering Try it free
// average starting salary$114,426according to Glassdoor
// common job titles
  • Software Engineer
  • AI Software Engineer
  • Backend Developer
  • Automation Engineer
  • Software Developer
// skills you’ll learn
  • Python
  • SQL
  • SQLAlchemy
  • REST APIs
  • FastAPI
  • Streamlit
  • ChromaDB
  • Ollama
  • Docker
  • GitHub Actions
  • Git & GitHub
02 · career track

AI Cybersecurity

Cybersecurity is a promising career option for people who are passionate about protecting digital systems and networks from malicious activity.

It’s well-suited to people who want to understand computer systems and networks and keep up with the latest threats and technologies. If you’re just starting out, cybersecurity certifications are a great way to build foundational knowledge, and the AI Cybersecurity program is a pathway to CompTIA Security+.

// you may excel in cyber if

You have a strong sense of curiosity, a problem-solving mindset, and you adapt quickly to evolving security landscapes.

Explore AI Cybersecurity Try it free
// average starting salary$102,829according to Glassdoor
// common job titles
  • Cybersecurity Analyst
  • Security Engineer
  • Information Security Specialist
  • Network Security Engineer
  • Security Architect
// skills you’ll learn
  • Kali Linux
  • Windows Server
  • Active Directory
  • Packet Tracer
  • Wazuh (SIEM)
  • PowerShell
  • Python
  • Nmap
  • Metasploit
  • OWASP ZAP
  • Docker
03 · career track

AI Data Analytics

Data analytics is a good career option for people who are interested in working with large datasets to extract valuable insights.

It’s well-suited to people with a passion for continuous learning who enjoy turning raw data into insights and bringing them to life visually, and who like asking questions and using data to drive decisions.

// you may excel in data if

You are an analytical thinker and detail-oriented, with the ability to communicate in a clear and concise way.

Explore AI Data Analytics Try it free
// average starting salary$75,227according to Glassdoor
// common job titles
  • Data Analyst
  • Business Analyst
  • Data Engineer
  • Data Scientist
  • Analytics Manager
// skills you’ll learn
  • Excel
  • SQL
  • PostgreSQL
  • Python
  • pandas
  • dbt
  • Tableau
  • Power BI
  • Looker Studio
  • Streamlit
  • LLM APIs
04 · career track

AI Quality Assurance

Quality assurance (QA) is a promising career path for people interested in making sure software systems are reliable and high quality.

It takes a solid understanding of technology, a commitment to continuous learning, and the ability to solve intricate problems. QA professionals thrive on collaborative teams, and today they also test the AI features companies ship.

// you may excel in qa if

You have keen attention to detail, a meticulous mindset, and you adapt well to evolving quality standards and methods.

Explore AI Quality Assurance Try it free
// average starting salary$83,886according to Glassdoor
// common job titles
  • QA Engineer
  • QA Analyst
  • Test Engineer
  • Software Quality Engineer
  • Automation Engineer
  • QA Manager
// skills you’ll learn
  • JavaScript
  • Cypress
  • Postman
  • Postman AI
  • Jira
  • Git & GitHub
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