Hard Skills
Measurable, teachable abilities acquired through education or training.

: Hard Skills
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Title
Sector
Description
Title
GDB, KGDB & JTAG
Sector
Computational
Description
GDB, KGDB, and JTAG are the debugging tools embedded engineers reach for when BMS firmware misbehaves on real silicon — single-stepping through ISRs, inspecting register state, dumping memory while the pack is energized. As a hard skill it requires fluency in GDB scripting, comfort with JTAG/SWD probe setup (Segger J-Link, OpenOCD), understanding of the ARM Cortex-M debug architecture, and the patience to bisect a heisenbug across thousands of CAN-bus messages. Firmware engineers apply this when chasing a rare BMS reset that only shows up at low SoC, when reverse-engineering a vendor microcontroller's undocumented peripheral, or when bringing up a brand-new pack controller PCB.
Title
Gas Chromatography (GC)
Sector
Research and Development
Description
Gas chromatography (GC) separates volatile and semi-volatile compounds in a mixture by partitioning them between a moving gas phase and a stationary phase in a heated column, then detects them with FID, TCD, or mass spectrometry. As a hard skill it requires selecting column chemistry, optimizing temperature programs, preparing calibration standards in the right matrix, and identifying peaks from retention time and mass-spectral data. Battery researchers apply GC to quantify gas evolution during formation and abuse testing, identify electrolyte decomposition products in aged cells, and monitor solvent impurities in fresh electrolyte batches.
Title
Gaussian
Sector
Computational
Description
Gaussian is a widely used quantum chemistry software package providing DFT, Hartree-Fock, MP2, CCSD(T), and excited-state methods for computing molecular properties, reaction energies, spectra, and transition states. As a hard skill it requires setting up input files with appropriate basis sets, methods, and convergence criteria, managing the high computational cost of correlated methods, and interpreting output for geometric, energetic, and spectroscopic properties. Battery researchers apply Gaussian to compute electrolyte molecule oxidative and reductive stability, model solvation structures of lithium salts, and rationalize spectroscopic observations from NMR, IR, and Raman experiments.
Title
Gaussian (Normal) Distribution
Sector
Computational
Description
The Gaussian (normal) distribution is the foundational probability distribution in statistics, describing the bell-shaped spread of measurement errors, process variation, and many natural phenomena. As a hard skill it requires understanding the mean, standard deviation, and empirical rule, testing for normality before applying parametric methods, and knowing when the Gaussian assumption breaks down — as it does for skewed battery failure-time data or heavily tailed outlier distributions. Battery quality engineers and data scientists apply Gaussian statistics when interpreting formation capacity distributions, setting specification limits on cell-grading tests, and computing process capability indices (Cp, Cpk) that assume normally distributed data.
Title
Geological Modeling & Design
Sector
Mining
Description
Geological modeling and design transforms drillhole, mapping, and geophysical data into 3D digital representations of orebodies and the surrounding geology. Modelers use software like Leapfrog, Vulcan, or Datamine to build implicit surfaces, block models, and grade estimates that drive mine planning and reserve reporting. The skill sits at the interface of geology and engineering and is increasingly augmented by machine-learning techniques for interpolation and uncertainty quantification.
Title
Geological/Mining/Mineral Engineering & Engineering Geology
Sector
Mining
Description
Geological, mining, and mineral engineering applies engineering principles to the safe, economic extraction of mineral resources and to the geomechanical behavior of the rock mass around mine workings. Practitioners design pits, stopes, drifts, and support systems; estimate reserves; and evaluate hazards from squeezing ground, rockbursts, or slope instability. Engineering geology bridges this work with site investigation, classifying rock mass quality and informing both mine design and surface infrastructure.
Title
Geology & Mineralogy
Sector
Mining
Description
Geology and mineralogy provide the descriptive and analytical framework for identifying rocks and the minerals that host valuable elements. Skills include hand-sample identification, thin-section petrography, XRD, XRF, and SEM-EDS analysis to determine mineral assemblages, textures, and paragenesis. Accurate mineralogical characterization drives metallurgical test work, processing flowsheet selection, and downstream recovery economics.
Title
Geometric Dimensioning & Tolerancing (GD&T) / Metrology
Sector
Equipment Robotics and Advanced Manufacturing
Description
Geometric Dimensioning and Tolerancing (GD&T) and metrology specify and verify the physical accuracy of battery components — cell can dimensions, electrode flatness, busbar hole positions, pack enclosure features. As a hard skill it requires reading GD&T drawings per ASME Y14.5, programming coordinate measuring machines, and interpreting datum reference frames. Quality engineers apply these techniques to qualify supplier parts, set acceptance criteria for incoming cells, and isolate process drift that causes module-stack misalignment.
Title
Geophysics
Sector
Mining
Description
Geophysics uses physical methods — seismic, magnetic, gravity, electromagnetic, and resistivity surveys — to image subsurface geology without drilling. In mining it supports exploration targeting, structural interpretation, groundwater mapping, and geotechnical hazard assessment from regional to mine scale. Skilled geophysicists translate noisy field measurements into inverted models that materially de-risk drilling programs and mine design.
Title
Geotechnical Engineering
Sector
Mining
Description
Geotechnical engineering in mining characterizes the mechanical behavior of rock and soil to design stable pit walls, underground openings, tailings dams, and waste-rock facilities. Engineers integrate core data, lab testing, instrumentation, and numerical modeling to predict deformation, set monitoring trigger levels, and design support. The discipline is safety-critical: failures of slopes or tailings facilities are among the highest-consequence events in the industry.
Title
GitHub Copilot | Skills Training | METConn
Sector
Computational
Description
GitHub Copilot is an AI coding companion that helps developers write, review, debug, and document code more efficiently. It integrates with popular development tools to provide intelligent suggestions and automate common programming tasks.
Title
Glove Box Procedures
Sector
Research and Development
Description
Glove box procedures govern safe and reproducible work inside inert-atmosphere enclosures that maintain moisture and oxygen below the parts-per-million levels required by air-sensitive battery materials and electrolytes. As a hard skill it requires purging and regenerating the gas recirculation system, checking and maintaining seals and gloves, and organizing the antechamber workflow to minimize atmospheric ingress during sample transfer. Battery researchers rely on glove boxes for lithium metal handling, electrolyte preparation, and cell assembly, where even brief air exposure would oxidize lithium anodes, decompose electrolyte salts, and invalidate experimental results.
Title
Gnuplot
Sector
Computational
Description
Gnuplot is a portable, command-driven graphing utility widely used in scientific computing to plot functions, data files, and script-generated figures across Linux, Mac, and Windows environments without a GUI dependency. As a hard skill it requires fluency in Gnuplot's scripting syntax, multiplot layouts, custom terminal and output formats (PNG, SVG, PDF, LaTeX), and the fit command for nonlinear least-squares regression. Battery researchers and engineers apply Gnuplot to generate reproducible plots in automated data-processing pipelines, produce consistent figure styles for technical reports, and visualize large formation or cycling datasets without opening a full data-analysis application.
Title
Go
Sector
Computational
Description
Go is the modern systems language for cloud-native back-end services — battery teams use it for high-throughput telemetry ingestion, MES API services, and the data pipelines that move cell-formation data from the factory to the data lake. As a hard skill it requires fluency in goroutines and channels for concurrent work, the standard library's HTTP and database packages, and the testing discipline that the language ecosystem favors. Engineers apply it when building fleet-telemetry ingestion services that handle thousands of vehicles, when standing up MES integrations between production lines and SAP, and when writing CLI tools that operators on the factory floor can run without a Python install.
Title
Google Antigravity
Sector
Computational
Description
Google Antigravity is a platform for autonomous AI agents that generate, execute, and test code. It features an IDE, CLI, and SDK, supports multiple AI models, and is free during preview. Agents deliver verifiable artifacts, not just code. The platform is built on a fork of Visual Studio Code.
Title
Google Gemini
Sector
Computational
Description
Google Gemini is Google's multimodal large-language-model assistant, capable of processing text, images, code, and structured data, and deeply integrated with Google Workspace tools such as Docs, Sheets, and Slides. As a hard skill it requires effective prompt construction for both text and multimodal inputs, understanding its integration points with Google Cloud and enterprise productivity tools, and critically evaluating outputs for factual accuracy and appropriate use. Battery engineers and scientists apply Gemini to analyze experimental images alongside text data, generate data-processing code in Google Colab, summarize lengthy technical documents, and automate repetitive reporting tasks within a Google Workspace environment.
Title
Grand Canonical Monte Carlo (GCMC)
Sector
Computational
Description
Grand canonical Monte Carlo (GCMC) simulation samples configurations of a system at fixed chemical potential, volume, and temperature, allowing particle numbers to fluctuate and enabling direct calculation of adsorption isotherms, ion distributions, and phase equilibria. As a hard skill it requires setting up force fields or potentials for the material and adsorbate, choosing move types and acceptance criteria, managing equilibration and production run lengths, and post-processing snapshots for structural and thermodynamic quantities. Battery researchers apply GCMC to model electrolyte adsorption in porous electrode materials, compute lithium-ion distribution at electrode-electrolyte interfaces, and screen host materials for ion insertion capacity before committing to synthesis.
Title
Graphical User Interface (GUI)
Sector
Equipment Robotics and Advanced Manufacturing
Description
Graphical user interfaces (GUIs) sit between operators and the equipment running battery production lines — HMIs on coating machines, SCADA screens for formation racks, MES dashboards. As a hard skill it requires designing screens that surface the right alarms and process variables without overwhelming the operator, plus configuration work in tools like Ignition, FactoryTalk View, or WinCC. Good GUI work directly reduces operator error during electrolyte filling, cell sorting, and changeover where misreading a screen can scrap a batch.
Title
Graphing & Data Analysis Software
Sector
Research and Development
Description
Graphing and data-analysis software — Origin, Igor Pro, GraphPad Prism, Matplotlib, ggplot2, Plotly — is how R&D scientists turn raw instrument output into figures, statistical analyses, and publication-quality results. Strong users combine fluency with import and cleaning workflows, curve fitting, hypothesis tests, and reproducible scripting in Python or R. The skill is increasingly foundational because data volume from modern instruments quickly outpaces manual spreadsheet workflows.
Title
HVAC (Heating, Ventilation & Air Conditioning)
Sector
Equipment Robotics and Advanced Manufacturing
Description
HVAC systems in battery manufacturing maintain the dew point, particulate cleanliness, and temperature ranges required by lithium-ion cell production, especially in dry rooms where moisture above a few parts per million ruins electrodes. As a hard skill it requires understanding desiccant dehumidification, HEPA filtration class selection, pressurization cascades, and energy recovery in continuous-running facilities. Plant engineers apply HVAC knowledge during facility design, validation testing, and troubleshooting when dry-room humidity excursions threaten yield.
Title
Hazardous Waste Management
Sector
Equipment Robotics and Advanced Manufacturing
Description
Hazardous waste management in refining and chemical processing handles spent catalysts, solvents, sludges, and contaminated water under RCRA and equivalent state regulations, from point of generation through treatment and disposal. Practitioners classify wastes, manage manifests and storage limits, and select treatment paths — incineration, stabilization, recycling — that minimize risk and cost. Sound waste management is a regulatory necessity and a meaningful operating cost lever, especially as the industry pushes toward circularity and emissions reduction.
Title
Heavy Equipment Operator
Sector
Mining
Description
Heavy equipment operators run the haul trucks, loaders, dozers, graders, and shovels that move material through every active mining operation. The role requires precise machine control, situational awareness in congested pit and dump environments, and disciplined adherence to traffic management plans. Operator skill drives cycle times, fuel burn, and tire life — all major contributors to the cost-per-tonne metrics that determine mine profitability.
Title
High-Performance Liquid Chrmoatography (HPLC)
Sector
Research and Development
Description
High-performance liquid chromatography (HPLC) separates compounds in solution by pumping samples through a packed column at high pressure, then detecting them by UV-Vis absorbance, fluorescence, or mass spectrometry. As a hard skill it requires selecting the appropriate column chemistry and mobile phase for the target analytes, developing and validating gradient methods, and interpreting peak purity and quantitation results from calibration curves. Battery researchers apply HPLC to identify and quantify electrolyte additive decomposition products, characterize organic species in aged electrolytes, and verify purity of synthesized electrolyte components and binders.
Title
Hugging Face
Sector
Computational
Description
Hugging Face is a US-based AI company known for open-source machine learning tools, model sharing, and recent security challenges.
Title
Human Resources
Sector
Workplace Operations
Description
Human resources covers the systems and practices that attract, develop, retain, and exit talent, spanning workforce planning, total rewards, employee relations, performance management, learning, DEI, and labor-law compliance. Modern HR runs on HRIS platforms and people analytics, partnering with line leaders rather than acting as a back-office function. In capital-intensive and skills-short industries, HR is often the binding constraint on growth and on operational continuity.
Title
Hydraulic Equipment & Systems
Sector
Equipment Robotics and Advanced Manufacturing
Description
Hydraulic equipment systems power the booms, buckets, jacks, and drills that mining relies on to apply concentrated force in compact packages. Technicians must understand pumps, valves, accumulators, cylinders, and fluid conditioning, and diagnose faults from pressure, flow, and temperature symptoms. Hydraulic competence is essential to keeping shovels, drills, longwall shields, and continuous miners productive in demanding, contamination-prone environments.
Title
Hydrology
Sector
Mining
Description
Hydrology in mining addresses how water moves through and around a deposit, controlling dewatering needs, pit-wall stability, tailings management, and downstream water quality. Practitioners measure aquifer properties, design well fields and depressurization systems, and model groundwater response to mining over the project life cycle. Effective hydrology is a precondition for both safe extraction and regulatory permitting in nearly every jurisdiction.
Title
INAV (or iNav) Intelligent Navigation System for Aerial Vehicles
Sector
Design
Description
INAV is an open-source flight controller firmware optimized for fixed-wing and multirotor GPS-navigation missions, providing autonomous waypoint following, return-to-home, and position-hold capabilities for long-range FPV and survey applications. As a hard skill it requires configuring INAV through the INAV Configurator, tuning navigation PID gains and GPS receiver integration, setting up autonomous mission profiles, and diagnosing GPS and compass interference issues. Design engineers apply INAV when building long-range fixed-wing FPV aircraft and autonomous survey platforms where the navigation feature set better fits the mission profile than racing-oriented firmware such as Betaflight.
Title
Inductively Coupled Plasma (ICP)
Sector
Research and Development
Description
Inductively coupled plasma techniques — optical emission spectroscopy (ICP-OES) and mass spectrometry (ICP-MS) — determine elemental concentrations across a wide dynamic range by atomizing samples in a high-temperature argon plasma and measuring emission or mass-to-charge signals. As a hard skill it requires correct sample digestion to achieve complete dissolution, matrix matching of calibration standards, and selection of internal standards and interference corrections appropriate to the matrix. Battery researchers apply ICP-OES and ICP-MS to quantify cathode stoichiometry, measure metal dissolution into electrolyte during cycling, and certify incoming raw material composition.
Title
Industry 4.0 & Digital Fluency
Sector
Equipment Robotics and Advanced Manufacturing
Description
Industry 4.0 digital fluency is the combined ability to use connected sensors, edge devices, cloud analytics, and AI on the battery shop floor to extract actionable insight from production data. As a hard skill it requires familiarity with industrial networking protocols (OPC UA, MQTT), basic data analysis in Python or SQL, and dashboarding tools that operators can act on. Practitioners apply it to spot upstream coating defects before downstream cell test fails, predict equipment failure, and tie cell genealogy to field returns.
Title
Industry Standards
Sector
Equipment Robotics and Advanced Manufacturing
Description
Industry standards — from ISO and ASTM to IEC, SAE, and UL — define the test methods, performance thresholds, and safety requirements that battery cells, modules, and packs must meet for regulatory approval, customer acceptance, and interoperability. As a hard skill it requires identifying the applicable standards for a product's target market, reading and interpreting test protocols accurately, and designing experiments and documentation that satisfy requirements for certification and compliance audits. R&D teams apply standards fluency from early project planning through technology transfer, ensuring that laboratory results will translate into products that pass type approval and enter regulated markets.
Title
Information Systems
Sector
Computational
Description
Information systems integrate the software, hardware, data, and processes that move information through a battery manufacturing organization — MES, ERP, PLM, quality systems, analytics platforms. As a hard skill it requires understanding system-of-systems architecture, integration patterns (sync vs async, batch vs streaming), data governance, and the human and organizational change management that real IS work always includes. Practitioners apply it when planning the MES-to-ERP integration for a new battery plant, when picking a PLM strategy that accommodates rapid cell-chemistry iterations, and when writing the cross-team data dictionary that lets quality, engineering, and finance speak the same language about a cell genealogy record.
Title
Instrument Calibration
Sector
Equipment Robotics and Advanced Manufacturing
Description
Instrument calibration establishes the relationship between an instrument's output and the true value of the quantity being measured, ensuring that data collected in the lab are accurate, traceable, and comparable across time and instruments. As a hard skill it requires selecting appropriate certified reference materials or primary standards, executing calibration procedures according to published protocols, documenting uncertainty budgets, and scheduling recalibration intervals based on instrument drift. R&D scientists apply calibration discipline to balances, pH meters, potentiostats, spectrometers, and temperature sensors — traceable calibration is the foundation of credible data in battery materials and electrochemical research.
Title
Intellectual Property (IP)
Sector
Research and Development
Description
Intellectual property covers the legal protections — patents, trademarks, copyrights, and trade secrets — that turn ideas, brands, and know-how into defensible business assets. Strong programs combine invention disclosure pipelines, prior-art searching, freedom-to-operate analysis, and disciplined record-keeping with thoughtful filing and licensing strategy. In R&D-intensive sectors, IP is often the most valuable thing a company owns and is central to both offense and defense in the market.
Title
Inventory Management
Sector
Supply Chains
Description
Inventory management balances the cost of holding stock against the cost of stockouts, using policies such as reorder points, safety stock, ABC analysis, cycle counting, and demand forecasting. Modern practice runs on ERP and WMS data, with techniques like JIT, Kanban, and vendor-managed inventory used to compress working capital without starving operations. Strong inventory management is one of the highest-leverage skills in any goods-producing or distribution business.
Title
Ion Implantation
Sector
Research and Development
Description
Ion implantation introduces dopant atoms into a solid material by accelerating ions through an electric field and embedding them beneath the surface, enabling precise control of dopant concentration and depth profile. As a hard skill it requires selecting ion species, energy, and dose, modeling the implant range with tools such as SRIM, and planning post-implantation annealing to activate dopants and repair lattice damage. Battery researchers apply ion implantation to modify the surface chemistry and ionic conductivity of electrode materials and solid electrolytes, and to study radiation-damage effects in materials intended for nuclear or space applications.
Title
Java
Sector
Computational
Description
Java is the dominant language for back-end enterprise services — MES, ERP integrations, quality data warehouses, and the analytics platforms that consume battery production data. As a hard skill it requires fluency in the JVM ecosystem (Spring Boot, Hibernate, build tools like Maven and Gradle), threading model, garbage collection tuning, and the layered architecture (services, repositories, controllers) that production-grade applications follow. Software engineers apply it when extending the MES with new test-data ingestion services, when building APIs that field engineers query for pack history, and when integrating SAP modules with the factory floor's PLC layer.
Title
Junior Minors
Sector
Mining
Description
Junior miners are small-cap exploration and development companies that advance early-stage projects toward feasibility, often acting as the discovery engine for the majors that ultimately operate large mines. Working in this segment demands fluency in capital markets, NI 43-101 or SK-1300 reporting, and the lean technical execution that defines pre-production work. The role is high-variance: most projects never reach production, but successful discoveries can deliver outsized returns and define careers.
Title
Karl Fischer Titration
Sector
Research and Development
Description
Karl Fischer titration is the reference method for measuring trace water content in liquids, solids, and gases, based on a quantitative redox reaction between water and iodine in the presence of sulfur dioxide and a base. As a hard skill it requires selecting volumetric or coulometric mode based on the expected water level, conditioning the instrument and preventing atmospheric moisture ingress, and verifying results with certified water standards. Battery researchers apply Karl Fischer titration to certify that electrolyte solvents and salts meet the sub-ppm moisture specifications required for reliable lithium-ion and lithium-metal cell performance.
Title
Keras
Sector
Computational
Description
Keras is an open-source Python library for building neural networks, supporting multiple backends like TensorFlow, JAX, and PyTorch.
Title
Key Performance Indicators (KPIs)
Sector
Computational
Description
Key performance indicators (KPIs) are the small set of metrics that translate strategy into measurable operating signals — throughput, OEE, on-time delivery, safety incident rates, cost per unit, customer NPS, and the like. Well-designed KPIs cascade from corporate objectives down to team and individual scorecards, with clear definitions, owners, targets, and review cadences. Strong KPI practice prevents organizations from drowning in dashboards while missing the few numbers that actually drive outcomes.
Title
Kubernetes, Docker & Jenkins
Sector
Computational
Description
Kubernetes, Docker, and Jenkins together provide the container orchestration and CI infrastructure that runs modern battery-data tooling — MES microservices, telemetry pipelines, analytics platforms, and the dashboards operators rely on. As a hard skill it requires fluency in Dockerfile authoring, Kubernetes manifest writing (deployments, services, secrets), Jenkins pipeline scripting (declarative or scripted), and the operational discipline of upgrades, rollbacks, and resource limits. DevOps and platform engineers apply this when containerizing legacy MES integrations, when orchestrating telemetry ingestion across multiple plants, and when wiring up CI that auto-deploys analytics services to a Kubernetes cluster on every merge to main.
Title
Lab Balances & Weighing
Sector
Research and Development
Description
Laboratory balances and weighing technique underpin virtually every quantitative experiment in battery and materials R&D, from preparing electrode slurries and electrolyte solutions to tracking mass changes during thermal treatment and electrode loading. As a hard skill it requires selecting the balance class for the required resolution, leveling and calibrating with certified weights, managing environmental factors such as air currents and vibration, and applying tare and density corrections correctly. Precise weighing determines electrode areal loading, active material ratios, and electrolyte-to-capacity ratios — quantities that directly govern cell performance and the reproducibility of experimental results.
Title
Laboratory Glassware
Sector
Research and Development
Description
Laboratory glassware — flasks, beakers, graduated cylinders, burettes, condensers, and reaction vessels — is the primary hardware for solution preparation, chemical synthesis, and titrations in battery and materials R&D. As a hard skill it requires selecting the appropriate vessel for the reaction or measurement, using volumetric glassware within its specified accuracy class, and recognizing when material compatibility requires switching to PTFE or other alternatives for aggressive solvents or strong bases. Sound glassware practice is foundational to reproducible synthetic and analytical work, where volume errors and chemical contamination propagate directly into experimental conclusions.
Title
Laboratory Ovens & Environmental Chambers
Sector
Research and Development
Description
Laboratory ovens and environmental chambers provide controlled temperature, humidity, and atmosphere conditions for drying, curing, conditioning, and aging materials, electrodes, and battery cells. As a hard skill it requires setting and verifying temperature uniformity, understanding chamber load limits and soak time requirements, and programming multi-stage profiles for formation cycling thermal management or accelerated aging studies. Battery researchers use ovens to dry electrodes before cell assembly and environmental chambers to conduct accelerated calendar-aging experiments and evaluate cell performance across the operating temperature range.
Title
Laboratory Safety
Sector
Research and Development
Description
Laboratory safety in R&D encompasses hazard identification, risk assessment, and protective measures for chemical, electrical, pressure, cryogenic, laser, and radiation hazards encountered in battery and materials research. As a hard skill it requires reading and applying Safety Data Sheets, following chemical hygiene plans, conducting risk assessments before new procedures, and knowing emergency protocols for spills, fires, and exposures. Researchers apply safety discipline daily — from selecting PPE for electrolyte handling to designing safe setups for high-pressure synthesis and thermal abuse testing of battery cells.
Title
Labview & Teststand
Sector
Computational
Description
LabVIEW and TestStand are the National Instruments platforms for automated test sequencing and instrument control — used by battery teams to run formation cycles, characterize cells on a benchtop cycler, and validate BMS hardware-in-the-loop. As a hard skill it requires fluency in dataflow ("G code") programming, VI architecture, instrument-driver libraries (IVI), and the TestStand sequence-execution model that orchestrates multi-step test plans with conditional branches and reporting. Test engineers apply this when standing up a new pack-test bench, when writing the validation suite for a new BMS revision, and when integrating dozens of instruments (DMMs, electronic loads, oscilloscopes) into a coherent automated test sequence.
Title
LangChain
Sector
Computational
Description
LangChain is an open-source Python and JavaScript framework that integrates large language models into applications, supporting many data sources.
Title
LangGraph
Sector
Computational
Description
LangGraph is a flexible framework for building and controlling complex AI agents, supporting human-in-the-loop, memory, and custom workflows.
Title
Large Language Models (LLMs)
Sector
Computational
Description
A large language model (LLM) is an AI model, usually based on transformers, trained on vast text data to generate, summarize, and analyze language.
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Hard Skills
Measurable, teachable abilities acquired through education or training.

Hard Skills

MetConn

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COMMUNITIES OF PRACTICE (COPS)

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HUBS

COMMUNITIES OF PRACTICE (COPS)

Gain access to exclusive events and networking opportunities.

Further your education and build your skillset.

Access resources to stay informed on latest developments in industry.

SKILLS TRAINING

LEARNING OPPORTUNITIES

CAREER PATHWAYS

Further your education and build your skillset.

Access resources to stay informed on latest developments in industry.

Uncover new opportunities to grow your career.

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Hard Skills Measurable, teachable abilities acquired through education or training.

Hard Skills

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Hard Skills
Measurable, teachable abilities acquired through education or training.