Next-token prediction
How a language model writes: score every possible next token, pick one, repeat.
In machine learning,
Most likely next tokens
- gradient0.38
- a0.24
- models0.17
- data0.12
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Master the intelligence that shapes tomorrow.
Professional AI and data science programs: 3 to 18 months, real projects, practitioner mentors and a credential anyone can verify.
Discover
Every path starts with a question.
What can these systems do, and where do you fit? Start with a free workshop, or let PathFinder map your background to a starting point.
Zyvora Academy teaches artificial intelligence and data science to working professionals, career changers and teams. Twelve programs built as one connected curriculum, learned through projects and reviewed by practitioners.
Two domains
Artificial intelligence and data science, taught as one.
8 programs
Artificial Intelligence
From machine learning foundations to language models, agents and the platforms that run them in production.
4 programs
Data Science
From first analyses to rigorous statistics, data engineering and the dashboards leaders act on.
Watch the ideas at work.
Four ideas every program builds on, running live in your browser. Click any of them to run it again.
Live
A neural network, forward pass
Signals flow layer by layer. Weights decide how strongly each node excites the next.
Gradient descent
Training is a ball rolling downhill on the loss surface. Click anywhere to drop it there.
K-means clustering
Assign each point to its nearest centre, move the centres, repeat until nothing changes.
Illustrations for learning, not live models. Numbers shown are examples.
Every program, in one place.
Hover to preview. Each program has its own curriculum, projects and outcomes.
- Generative AI EngineeringBuild, evaluate and ship applications on large language models.6 / 12 months
- Agentic AI & Autonomous SystemsDesign agents that plan, use tools and stay inside the lines.6 months
- Machine Learning EngineeringFrom a dataset to a model that runs reliably in production.6 / 12 months
- AI & Deep LearningThe mathematics, architectures and practice of modern neural networks.12 / 18 months
- MLOps & AI DeploymentKeep models and LLM services healthy after launch.3 / 6 months
- LLMs & RAG SystemsRetrieval that is accurate, current and measurable.3 / 6 months
- Computer Vision & Multimodal AITeach systems to see, read and describe.6 months
- AI Systems ArchitectureDesign AI platforms that scale, stay secure and pass review.12 / 18 months
- Applied Data ScienceTurn raw data into decisions people act on.6 / 12 months
- Data Science & AnalyticsStatistical depth for decisions with real stakes.12 / 18 months
- Data EngineeringBuild the pipelines every data and AI team depends on.6 / 12 months
- Business Intelligence & AnalyticsDashboards and analysis that leaders actually use.3 / 6 months
Choose the depth, not just the topic.
Four lengths, each with a different purpose. We only offer a program at the lengths its subject needs.
3months
Professional Skill Accelerator
Add one specific, in-demand skill to the expertise you already have.
- Best for
- Practitioners who need a targeted upgrade without pausing their career.
- Projects
- Guided labs and one mini capstone.
- Mentorship
- Group office hours each week.
- Assessment
- Lab checkpoints and a final practical assessment.
How it runs, in order
- 1Foundational assessment
- 2Essential concepts
- 3Intensive skill development
- 4Guided labs
- 5Practical assignments
- 6Mini capstone
- 7Final assessment
3 programs run at this length, including MLOps & AI Deployment and LLMs & RAG Systems.
See the full comparisonHow we teach
Learn by building. Reviewed by people.
Live, and on your schedule.
Weekly sessions are scheduled for your time zone and recorded. Self-paced lessons sit between them, so a busy week never sets you back.
Live cohort, hybrid or self-paced, depending on the program.
A working lab every module.
You write real code each week in hosted notebooks, against real datasets and real tools. Watching is never the assignment.
Every module ends in something that runs.
Feedback from practitioners.
Mentors who do this work for a living review what you build, in writing, against rubrics published before you start.
Mentor format varies by journey length.
Credentials that mean something.
Projects and a capstone panel decide your credential, not attendance. Each one carries a unique ID anyone can verify.
Professional credentials, not academic degrees.
From skills to roles, traced.
Point at any skill, program or role to see how they connect. Every line comes from the curricula themselves.
Zyvora for Teams
Upskill a whole team at once.
Private cohorts, custom pathways and leadership briefings, with progress reporting for the people funding the seats.
Real people and real dates, once they're real.
We publish mentors, learner stories, tuition and intake dates only after they're verified.
Founding cohorts open soon.
Intake dates and tuition are published program by program. The list hears first.
Taught by practitioners
Mentors are selected for production experience in what they teach. Profiles appear once each background is verified.
How we select mentorsLearner stories, with consent
Stories and showcases will be published with permission and verified details, once founding cohorts complete.
Our stories policyDates when they're confirmed
No countdown timers and no invented deadlines. Each program shows its intake once it's scheduled.
How admissions worksCredentials anyone can check
Every credential has a unique ID and a public verification page.
Verify a certificate
Start learning today.
Short, self-paced lessons to test your footing before you commit.