Three pathways, one standard

How ISA works: start where you are, then progress.

Every ISA journey starts with a career professional and a plan tailored by a panel of professionals. The Early Talent Academy builds the foundation; the Professional Academy, Career Accelerator and Elite Career Fellowship are hands-on, with real projects that count as experience.

  1. Pathway 01

    ISA Early Talent Academy

    For recent high school graduates and freshman college students

    • Live sessions plus self-paced pre-recorded training
    • Guided AI projects
    • Mentorship and collaborative learning
    • Foundational AI implementation practice

    Leads to

    ISA Professional Readiness Certification and a credible head start for university and work

    View pathway
  2. Pathway 02

    ISA Professional Academy

    For graduates, professionals, international students and career changers

    • AI foundations and workplace AI systems
    • Prompt engineering, automation, APIs and integrations
    • AI business applications
    • Professional portfolio development

    Leads to

    Workplace AI capability and the preparation required to join the Career Accelerator

    View pathway
  3. Pathway 03

    ISA Career Accelerator

    For learners ready to specialize and deliver enterprise-grade AI work

    • Enterprise AI implementation
    • AI specialization and technical mentorship
    • Workforce readiness and portfolio building
    • Employer pathway preparation

    Leads to

    An advanced portfolio, implementation case studies and readiness for global employer pathways

    View pathway

Admissions guidance

Know your starting point? Apply now, or compare the pathways in detail.

A plan built around you

Before you invest, a team of professionals studies your case.

No two careers start in the same place. So ISA does not start with a course. It starts with you.

  1. Meet your career professional

    A one-to-one, face-to-face conversation with a dedicated ISA career professional.

  2. A full review of where you are

    Your current situation, experience, education and career progression, analysed in depth.

  3. A panel discusses your case

    A team of ISA professionals meets to discuss your profile, your goals and your options.

  4. Your tailored plan

    The pathway, projects, mentors and milestones that fit you, agreed with you before you enrol.

Book a free consultation

Meet a career professional first. Decide once you have seen your plan.

Hands-on, by design

Anyone can teach AI. Few can give you real work to do.

Real, practical project work is hard to come by, even inside most companies. At ISA you get your hands dirty. You are not only learning; you are working on real projects that count directly as experience in your portfolio.

When you finish, you have real experience equal to the time you spent with us.

Hands-on pathways

New to AI? The Early Talent Academy builds the foundation first, with live sessions, self-paced training and guided projects.

  • Real projects, real stakes

    You work on real AI projects with real requirements, teams and deadlines, not classroom exercises.

  • Experience that counts

    Every project is documented in your portfolio, so the time you spend with ISA shows up as real experience.

  • Reviewed by professionals

    Practitioners review your work the way a team lead would, so your standard rises with every project.

Project log
Illustration
  1. isa project start --team 4 --mentor assigned
  2. Brief: automate customer-support ticket triage
  3. Data reviewed; approach agreed with the team
  4. Prototype built: AI classifier plus workflow automation
  5. Mentor review: two changes requested, both resolved
  6. Delivered, documented and presented
  7. Added to your portfolio as project experience

The ISA community

A spider web of talent, with you at the centre.

The community is the heart of ISA. It is a real virtual industry experience, brought into one platform: the people, the projects and the standards of the AI industry, all in one place.

  • Work with professionals worldwide

    Collaborate with practitioners from around the world, including professionals working with leading companies in the USA.

  • A network that opens doors

    Some of the people you work with are already in the industry; some are potential employers. They become your professional network.

  • Real impact, together

    Projects are delivered as teams, the way the industry works, so what you build makes a real difference.

Career professionalMentorsProject teamsFellow learnersIndustry practitionersPotential employersYou

Tap anyone in your network to see what they do for you.

Workforce pathways

Job connections through a global professional network.

The professionals, mentors and potential employers you work with at ISA become your network, and ISA prepares you for the project-based and full-time AI work they offer.

  1. 01

    Global employer partnership pathways

  2. 02

    AI implementation support roles

  3. 03

    Enterprise automation environments

  4. 04

    Project-based workforce opportunities

  5. 05

    Job connections from USD 15/hour

  6. 06

    Approximately 20 hours per week where applicable

Opportunities and compensation may vary by learner capability, specialization, employer requirements, geography, and project scope. ISA prepares learners for evaluation; it does not promise employment outcomes.

Admissions guidance

Build the portfolio and readiness global employers can evaluate.

Mentorship and career support

Guidance across technical growth, leadership, and professional positioning.

ISA support is designed to help learners improve the work itself and the way they present that work to mentors, reviewers, and employers worldwide.

  1. 01

    AI architecture guidance

  2. 02

    Technical reviews

  3. 03

    Implementation coaching

  4. 04

    Leadership development

  5. 05

    Portfolio reviews

  6. 06

    Resume optimization

  7. 07

    LinkedIn positioning

  8. 08

    Interview preparation

  9. 09

    Workforce readiness

Outcomes

Build proof of capability, not just course completion.

ISA outcomes emphasize practical deliverables, documentation quality, and globally relevant communication standards.

  1. 01

    Portfolio projects

    Multi-project AI case studies with implementation notes and presentation context

  2. 02

    Career readiness

    Interview, profile, and communication preparation for global evaluation

  3. 03

    Workplace capability

    Automation, integration, AI operations, and documentation fluency

  4. 04

    Mentor-reviewed growth

    Feedback loops focused on practical delivery quality and professional standards

Certificate and portfolio readiness

Show what you can build, explain, and deliver.

ISA helps learners assemble meaningful artifacts, project summaries, and implementation context that support both certification pathways and real-world opportunities.

  • Project briefs and implementation walkthroughs

  • Role-aligned portfolio structure and presentation

  • Evidence of collaboration and delivery discipline

  • Clear narrative for admissions, recruiters, and hiring managers

About ISA

A serious academy must show proof of capability.

ISA is positioned around visible learner evidence: what students build, how they explain it, and how ready they are for professional evaluation.

  1. 01

    Selective progression

    Learners move through staged pathways instead of a one-size-fits-all course.

  2. 02

    Evidence-led learning

    Projects, briefs, repositories, walkthroughs, and implementation notes become the core proof of capability.

  3. 03

    Mentor-reviewed quality

    Feedback focuses on technical clarity, communication, documentation, and delivery discipline.

  4. 04

    Transparent outcomes

    ISA prepares learners for evaluation while avoiding unrealistic employment guarantees.

What learners should leave with

Portfolio evidence that can be reviewed, explained, and improved.

  1. 01

    Role-aligned AI portfolio with project summaries

  2. 02

    Implementation case studies with business context

  3. 03

    GitHub or equivalent repository evidence where appropriate

  4. 04

    Automation or AI workflow demonstrations

  5. 05

    Interview-ready project explanations

  6. 06

    Professional profile and application narrative