39%
of workers' existing skill sets will be transformed or become outdated between 2025 and 2030.
For industry, government & institutions
Frontier industries are scaling faster than education can staff them. Astra grows the experts they need and upskills the workforce you already employ: structured tracks from fundamentals to the frontier, on a learning engine people actually finish.

Training catalog
Ten domains, one engine. Partners pick where their pipeline starts.
01 · Why now
Skills are expiring faster than careers, and employers have already concluded that upskilling the people they have beats bidding for the people they do not.
39%
of workers' existing skill sets will be transformed or become outdated between 2025 and 2030.
29%
projected growth in US employment of information security analysts from 2024 to 2034 — much faster than the average for all occupations.
85%
of employers plan to prioritize upskilling their own workforce between 2025 and 2030.
63%
of employers name skills gaps as the biggest barrier to transforming their business.
Fastest-growing skills to 2030
02 · Why it works
Deep-tech programs rarely fail on content — they fail on completion. Astra's engine keeps learners coming back daily, pointed at a workforce.
The engine, as it ships
One frame of a real lesson: a question, one tap, instant feedback.
A fab prints a chip's features onto the wafer with light. Which step does that?
Lessons fit a shift change or a commute, and every one closes with practice. Training that fits the working day gets done.
Streaks, daily quests, XP and leaderboards do what reminder emails never did: people come back on their own.
Every direction carries a community, so a stuck engineer asks a peer instead of stalling. Groups finish what individuals abandon.
Tracks climb from first principles to the working edge of the field — one route that upskills the engineers you already employ.
03 · The catalog
The directions we grow experts in — frontier fields where hiring already outruns supply. Partners choose the domains their roadmap depends on, and we build the pipeline around them.
The layer everything else now runs on: software, models, data and the infrastructure holding them up.
How computers actually work: algorithms, data structures, operating systems, networks and computation.
Building a real product: architecture, code, testing, APIs, Git, deployment and working as a team.
Classical ML through neural networks, deep learning, generative AI, LLMs and AI agents — training models and judging them.
Statistics, databases, Python and R, visualization, forecasting — and decisions that survive the data.
Networks, attacks and defense, identity management, cloud security, incident response, forensics and governance.
Cloud infrastructure on AWS, Azure and GCP: containers, Kubernetes, CI/CD, reliability and scaling.
Operating systems, hardware, networks and servers — the administration and troubleshooting that keeps them up.
Distributed databases, blockchains, smart contracts, consensus, digital assets and dApps.
Programming biology: from the cell and the genome to fermentation tanks and biomanufactured materials.
Cells, DNA, RNA and proteins: gene expression, signaling and the processes that run a living cell.
Biomolecules, enzymes and metabolism — proteins, lipids and carbohydrates, the chemistry of living systems.
Inheritance, mutations, sequencing, the human genome, population genetics and genomic medicine.
Bacteria, viruses, fungi and microbiomes — infection, and microbes put to industrial work.
Reading genomes, sequences and proteins at scale: biological data and computational modeling.
Recombinant DNA, CRISPR and gene editing, genetic circuits and programmable biological systems.
Fermentation, bioreactors and cell culture — carrying a biological process up to production scale.
Finding molecules and biological targets, preclinical research, biologics and drug development.
Plant genetics and crop biotechnology, cultivated products, fermentation and food biotech.
Biofuels, biomaterials, chemicals and enzymes: biological processes replacing traditional manufacturing.
How the body works, how care is delivered, and the data and devices reshaping both.
How the body is built and how its systems work together.
How disease develops, what breaks, and how symptoms connect back to mechanisms.
How drugs act: interactions, safety, therapeutic classes and the basics of drug development.
How disease spreads: prevention, population health, biostatistics, health policy and inequality.
Study design and phases, ethics, monitoring, clinical data and GCP.
Electronic records, telehealth, interoperability, medical data and the digital transformation of care.
Diagnostic devices, implants and wearables: biomedical electronics, safety and regulatory approval.
AI in radiology and pathology, clinical decision support, image analysis and validation.
Biomarkers, genomics, personalized treatment, companion diagnostics and molecular testing.
Hospitals, insurance, the FDA, reimbursement, operations and the business of healthtech.
Machines that sense, decide and move — on the factory floor, on the road and in the air.
Mechanics, electronics and code as one discipline: sensors, actuators, kinematics and robot design.
Mechanics, electronics and embedded systems integrated under automatic control.
Feedback and stability, modeling, controllers and state estimation for dynamic systems.
Robots on the line: manipulators, robot cells, programming, safety and integration.
Cameras and image processing, object recognition, spatial awareness and sensor fusion.
Perception, mapping, planning, navigation and control behind a vehicle that drives itself.
UAV flight dynamics, navigation, payloads, autonomous flight and regulation.
Locomotion and manipulation, social robots, and machines that assist at home and at work.
How people and robots share a workspace: interaction, trust and working safely side by side.
The connected factory: automation, quality, digital twins and the operations that keep output moving.
Processes, equipment, planning and costing — how production is organized.
PLCs, SCADA, sensors, drives and the control systems behind an automated line.
Industrial IoT, connected factories, AI, real-time data and cyber-physical systems.
Cutting waste: process improvement, statistical control, Kaizen and operational excellence.
Print technologies, design for additive, materials and real production parts.
QA and QC, failure analysis, FMEA, statistical quality control, reliability and certification.
Designing a product: CAD, simulation, CAM and the whole product lifecycle.
Digital copies of real equipment: sensors, predictive analytics and simulation.
Procurement, inventory, logistics, planning, forecasting and factory operations.
Preventive and predictive maintenance, RCM and the management of industrial assets.
From the transistor to the qubit — the hardware layer every other frontier industry waits on.
Circuits and components, analog and digital electronics, measurement and circuit design.
Materials, p-n junctions, transistors, MOSFETs and diodes — the physics under the chip.
Digital logic and integrated circuits: microarchitecture, HDL, verification and physical design.
Wafer fab, lithography, deposition and etching, yield, packaging and the chip supply chain.
Microcontrollers, firmware, real-time systems, hardware-software integration and IoT devices.
Lasers and optical systems, fiber optics, sensors and photonic chips.
Radio systems and antennas, wireless networks, 5G and 6G, communications engineering.
Qubits and quantum gates, algorithms, hardware, simulation and quantum programming.
Quantum networks and sensors, quantum cryptography and post-quantum security.
Generating, storing and moving energy through a grid and an economy that are being rebuilt at once.
Generation, transmission and distribution: grid stability and electricity markets.
Solar, wind, hydro, geothermal and bioenergy — and the work of integrating them into the grid.
Battery chemistry and systems, thermal management, grid-scale storage and recycling.
Nuclear physics, reactor systems, the fuel cycle, safety, waste and regulation.
Producing, storing and moving hydrogen — and the applications where it actually pays.
Exploration, production, refining and petrochemicals: operations through the energy transition.
Climate systems and emissions, adaptation, mitigation and the climate-tech stack.
Carbon capture, industrial emissions, low-carbon materials and net-zero systems.
Project finance, regulation, energy security, pricing and geopolitics.
Everything that flies, launches or drives itself — plus the markets and rules forming around it.
Aerodynamics, aircraft structures, propulsion, flight mechanics and aircraft design.
Orbital mechanics, spacecraft design, mission architecture and the space environment.
Rocket engines and fuels, launch systems, staging and launch operations.
Satellite systems and payloads, communications, remote sensing and geospatial data.
Aircraft electronics, GPS, flight control, communications and onboard systems.
Air transport as a system: airline operations, airport management, safety and regulation.
Vehicle systems and powertrains, EVs, batteries, vehicle electronics and manufacturing.
Autonomous mobility, urban air mobility, connected transport and mobility infrastructure.
Space companies, launch economics, satellite markets, international regulation and space law.
The physical world people live in: machines, structures, buildings and the cities that hold them.
Mechanics and thermodynamics, machines, fluids, heat transfer and mechanical design.
The infrastructure a country runs on: roads, bridges, water systems, geotechnics and public works.
Loads and structures: concrete, steel, structural analysis and safety.
Designing buildings: materials, building systems, energy and space built around people.
Costing, scheduling, contracts, site management, safety and project delivery.
Cities as systems: transport, housing, utilities, public space and connected infrastructure.
What everything is made of — and the coatings, supply chains and critical minerals that decide who can make it.
Structure, properties, processing and use: why a material behaves the way it does.
Steel, aluminum and alloys: heat treatment, processing and how metals fail.
Polymers and elastomers, plastics processing, recycling and sustainable polymers.
Fibre-reinforced materials and carbon composites: design and aerospace applications.
Industrial ceramics, glass and refractories for high-temperature work.
Materials at the nanoscale: fabrication, characterization, nanoelectronics and nanomedicine.
Implant materials, tissue interfaces, biodegradable and regenerative materials.
Silicon, compound semiconductors and dielectrics — the materials chips are made of.
Batteries, solar cells, hydrogen materials, catalysts and energy storage.
Coatings and wear, degradation, corrosion prevention and the protection of assets.
Lithium and rare earths, mining, supply chains, recycling and circularity.
Directions are the programs we build with partners — scoped, sequenced and staffed with your own specialists. Name the roles you need filled and we map the tracks onto them.

We map tracks onto the roles you are hiring for and the skills your teams need next, build the program with your own specialists, and run it on the engine learners already come back to every day.
enterprise@astratrainer.comPartnerships with companies, governments, universities and institutes.