Deep Learning with FPGA and OpenVINO Corporate Training
Learn to accelerate deep learning with FPGA and OpenVINO with Deep Learning with FPGA and OpenVINO in live guided labs.
Learn to accelerate deep learning workloads with FPGA and OpenVINO. Employees develop optimization, deployment, and inference skills through guided labs led by practitioners. Each session is tuned to your stack, tools, and workflows.
Instructor-led group trainingVirtual / on-site / hybrid10+ languagesDelivered in English, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian, and more100+ countriesWe have delivered in United States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a acceleration-capable team
EDSTELLAR AI ACCELERATION CAPABILITY MODEL
Assess OpenVINO skills
Skill checks map your team's Deep Learning with FPGA and OpenVINO baseline and gaps.
Set shared standards
One shared playbook for Deep Learning with FPGA and OpenVINO workflows, reviews, and quality bars.
Practice in guided labs
Labs cover optimization, FPGA deployment, and inference.
Measure the lift
Lab checkpoints benchmark each employee's Deep Learning with FPGA and OpenVINO capability.
Scale across teams
One consistent standard rolls out across projects, sites, and teams.
Need more than one program?Get a group quote
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Program Overview: What is Deep Learning with FPGA and OpenVINO?
Deep Learning with FPGA and OpenVINO is a 19-hour program for ML engineers, embedded engineers, and edge AI teams needing fast inference. Across 5 modules it covers OpenVINO, model optimization, quantization, FPGA deployment, and inference pipelines. It suits teams with latency, cost, or power constraints on AI inference.
Training is hands-on: every concept is taught through guided labs: participants optimize models, quantize without accuracy loss, deploy to FPGA targets, profile performance, and build production inference pipelines. Labs use real models, with instructor review at every stage.
Teams struggle with inference economics: slow models, high serving costs, and missed latency targets. This program builds real acceleration skill: deep optimization, FPGA deployment, and production inference. Your AI runs fast and cheap.
A 5-hour capstone closes the program, where participants design acceleration strategy and deliver a benchmarked AI system.
What's Included in this Workshop for Your Enterprise Teams
- 1
Tailored curriculum
Modules tuned to your tools and workflows
- 2
Instructor-led sessions
Live guidance from AI engineers
- 3
Guided labs
Labs on real AI acceleration tasks and scenarios
- 4
Skills assessments
Checkpoints track progress module by module
- 5
Post-training support
Workbooks, recordings, and follow-up guidance
- Hybrid, Live virtual, Onsite delivery options
- Flexible scheduling across your time zones
- Dedicated training coordinator for your cohort
- Digital workbooks and session recordings
- Customized modules for your Deep Learning with FPGA and OpenVINO stack
- Post-training support and resources
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Guided Technical Labs, Led by Industry Experts
Deep Learning with FPGA and OpenVINO Course Topics and Program Outline
A 19-hour, 5-module Deep Learning with FPGA and OpenVINO curriculum: foundations first, then labs, then a capstone that proves the skill on the job.
Built by Edstellar with AI engineers who deploy optimized models to FPGAs with OpenVINO
Built by AI engineers who deploy optimized models to FPGAs with OpenVINO, shaped around your stack and use cases.
Skill checks map your team's Deep Learning with FPGA and OpenVINO baseline so the program targets real gaps.
Instructor-led concepts build Deep Learning with FPGA and OpenVINO foundations your team can explain and use.
Labs across 2 hands-on modules build Deep Learning with FPGA and OpenVINO muscle with instructor coaching.
A 5-hour capstone applies Deep Learning with FPGA and OpenVINO end to end with instructor review.
A 19-hour path from Deep Learning with FPGA and OpenVINO foundations to a reviewed capstone, tuned to your stack.
Delivered as
Sessions run hybrid | live virtual | onsite; scheduling flexes across your time zones and team calendars.
Run first inference with OpenVINO.
learnWhy FPGAs for deep learning
OpenVINO toolkit overview
Installation and setup
First inference run
Optimize a model with the Model Optimizer.
learnModel Optimizer deep dive
Quantization techniques
Pruning basics
Accuracy vs speed trade-offs
Deploy an optimized model to FPGA.
practiceFPGA programming model
Deploying to FPGA targets
Performance profiling
Heterogeneous execution
Build a production inference pipeline.
practiceInference Engine API
Multi-model pipelines
Edge deployment patterns
Monitoring inference
Deliver an FPGA-accelerated AI system.
applyWorkload analysis
Acceleration strategy
Full system build
Benchmark and handover
Customize This Program Tailored to Your Team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
By the end of this Deep Learning with FPGA and OpenVINO program, your team will be able to accelerate deep learning with FPGA and OpenVINO.
OpenVINO basics
Run inference with OpenVINO.
Model optimization
Optimize models for deployment.
Quantization
Quantize without losing accuracy.
FPGA deployment
Deploy models to FPGA targets.
Inference pipelines
Build inference pipelines.
Performance tuning
Profile and tune performance.
Accelerated systems
Deliver accelerated AI systems.
Teams that Benefit from this Deep Learning with FPGA and OpenVINO Group Training
ML engineers, embedded engineers, edge AI teams, and infrastructure teams accelerating inference learn together. Content adapts to role and experience, so each cohort practices the acceleration workflows it owns.
Accelerate inference
ML engineers need faster inference. This program teaches OpenVINO optimization and FPGA deployment.
Workflow friction
- Slow inference
- High serving costs
- Latency SLAs missed
How the program helps
- Optimize models deeply
- Cut serving costs
- Hit latency targets
Practice use cases
- Deep optimization
- Lower costs
- Latency wins
AI on hardware
Embedded teams deploy to FPGAs. This training covers the deployment path they need.
Workflow friction
- Unfamiliar tooling
- Performance uncertainty
- Integration risk
How the program helps
- Master OpenVINO tooling
- Predict performance
- Integrate confidently
Practice use cases
- Tooling mastery
- Predictability
- Confidence
Real-time edge AI
Edge teams need real-time inference. FPGA acceleration delivers it; this program teaches how.
Workflow friction
- Latency budgets
- Power constraints
- Model size limits
How the program helps
- Hit real-time targets
- Stay in power budget
- Fit models to hardware
Practice use cases
- Real-time
- Power efficiency
- Fit
Efficient AI serving
Infra teams serve models at scale. Hardware acceleration cuts their costs.
Workflow friction
- GPU cost pressure
- Scaling costs
- Utilization gaps
How the program helps
- Accelerate with FPGAs
- Cut inference costs
- Improve utilization
Practice use cases
- Acceleration
- Cost cuts
- Utilization
Cohorts are grouped by role and experience so every session targets the workflows your people own.
Prerequisites: This program suits engineers with deep learning and Python familiarity; hardware basics help. No prior FPGA experience is needed. Content adapts to each cohort's stack.
ML engineers to acceleration specialists
Cohorts start with OpenVINO foundations, build optimization practice, and finish with FPGA deployment and system delivery.
One program grows with AI careers, from models to accelerated systems.
Different Teams, Locations, Time Zones, or Languages? We've Got You Covered.
Whether your teams are spread across countries, time zones, languages, or experience levels, we deliver tailored training programs that ensure a consistent learning experience across your global workforce.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Onsite, Virtual and Hybrid
Choose how your team learns Deep Learning with FPGA and OpenVINO: every mode keeps the same curriculum, labs, and instructor coaching.
Onsite Training
Instructor-led Deep Learning with FPGA and OpenVINO training at your offices, with labs set up on your tools. The instructor pairs with the team in person and tunes exercises to your workflows.
- Instructor-led Deep Learning with FPGA and OpenVINO training at your offices
- Labs set up on your tools and workflows
- In-person coaching and reviews
- Exercises tuned to your stack
Live Virtual Training
Live virtual Deep Learning with FPGA and OpenVINO sessions on Zoom or Teams with the same labs, breakout practice, and instructor coaching as onsite delivery.
- Live virtual Deep Learning with FPGA and OpenVINO sessions on Zoom or Teams
- Same guided labs as onsite delivery
- Breakout practice with instructor coaching
- Session recordings for later review
Hybrid Training
Instructor-led Deep Learning with FPGA and OpenVINO training delivered hybrid, onsite, or live virtual. Every session blends concise instruction with guided labs on your stack.
- Live instruction across onsite and virtual Deep Learning with FPGA and OpenVINO sessions
- Guided labs with instructor coaching throughout
- Real Deep Learning with FPGA and OpenVINO workflows, not slideware
- Flexible scheduling without losing live interaction
Need a Customized Training Format That Works for Your Team?
Our training delivery is customized to your team's schedule, full days, half days, sessions spread across weeks, or modular formats. Share your preferred timeline, and we'll plan the training around it.
Frequently Asked Questions
Share your team size, Deep Learning with FPGA and OpenVINO stack, and timelines; we respond with a tailored proposal and per-batch pricing.
Yes. A short discovery call maps your goals, current Deep Learning with FPGA and OpenVINO maturity, and the right module mix before you commit.
Yes. Live virtual sessions run on Zoom or Teams with the same guided labs, breakout practice, and instructor coaching.
Yes. Onsite delivery works well for Deep Learning with FPGA and OpenVINO; the instructor tunes labs to your network, tools, and workflows.
The program runs 19 hours across 5 modules, scheduled flexibly: consecutive days, split weeks, or a custom cadence.
Question Not Answered Here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
This course joins two skill sets your team builds first: deep learning and FPGA design. With both in hand, OpenVINO lets you optimize and accelerate models on Intel FPGAs and processors, and the result feeds edge deployments where speed and power use matter.
DEEP LEARNING BASICS
Introduction to Deep Learning Training
Learn neural network basics and model training before thinking about accelerating them in hardware.
FPGA DESIGN
FPGA Design Corporate Training for Embedded Systems
Cover FPGA architecture, HDL design, and the toolflows used in embedded systems.
ACCELERATE WITH OPENVINO
Deep Learning with FPGA and OpenVINO Training
Optimise and run deep learning inference on FPGAs and Intel hardware with the OpenVINO toolkit.
DEPLOY AT THE EDGE
Edge AI & Intelligent Computer Vision Training
Put accelerated vision models into edge devices that need fast, low-power inference.
Why Choose Edstellar as Your Deep Learning with FPGA and OpenVINO Corporate Training Provider
Edstellar delivers Deep Learning with FPGA and OpenVINO corporate training for global enterprises: tailored curriculum, expert trainers, labs-based learning, and measurable outcomes your L&D team can report.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
We tailor labs, examples, and pacing to your team's AI acceleration maturity and goals.
Proven Methodology
A field-tested rhythm of instruction, labs, and feedback proven across global AI acceleration cohorts.
Practice-Based Learning
Your team learns AI acceleration by doing: labs in every module plus a capstone that proves the skill.
Expert Trainers
Seasoned AI engineers lead every session and coach your team through each guided lab.
Global Scale
From pilot cohort to global rollout, one AI acceleration standard scales with your organization.
Measurable Outcomes
Checkout reviews and capstone results give L&D clear evidence of AI acceleration capability gained.
Develop Accelerated Inference With Verified OpenVINO Optimization and FPGA Deployment
Edstellar connects OpenVINO foundations with model optimization and FPGA-based inference. Participants transform a sample model, examine deployment behavior, and integrate an accelerated pipeline. The final review focuses on output verification, measured performance, and the reasoning behind hardware and optimization choices rather than assuming acceleration preserves quality or meets every constraint.
- Step 01
Consult
We assess deep-learning and Python familiarity to identify gaps in model optimization, FPGA deployment concepts, inference validation, and interpreting hardware performance trade-offs.
- Step 02
Plan
We establish OpenVINO inference before model optimization and quantization, then FPGA deployment and pipeline integration within the accelerated system build.
- Step 03
Align
We align acceleration instruction with ML, embedded, and edge roles, confirming compatible training hardware and tooling while providing FPGA foundations for new learners.
- Step 04
Customize
We tailor sample models, input workloads, and inference constraints to representative applications while keeping accuracy checks and hardware conditions explicit in comparisons.
- Step 05
Execute
Participants optimize models, deploy to the training FPGA target, and integrate inference, receiving feedback on compatibility, output differences, and measured runtime behavior.
- Step 06
Evaluate
We assess the accelerated system for verified predictions, coherent deployment, transparent performance comparisons, and justified choices against the stated inference constraints.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Deep Learning with FPGA and OpenVINO Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request a Quote for Deep Learning with FPGA and OpenVINO Training for Your Team
Share your team size and timelines to receive a tailored training plan and quote. Book a discovery call; we confirm availability and respond with a proposal.