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.
Edstellar, a corporate training company, delivers corporate training that helps your team learn accelerate deep learning 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 / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited 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
- Hands-On Labs on Live Infrastructure, 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.
learna)Why FPGAs for deep learning
b)OpenVINO toolkit overview
c)Installation and setup
d)First inference run
Optimize a model with the Model Optimizer.
learna)Model Optimizer deep dive
b)Quantization techniques
c)Pruning basics
d)Accuracy vs speed trade-offs
Deploy an optimized model to FPGA.
practicea)FPGA programming model
b)Deploying to FPGA targets
c)Performance profiling
d)Heterogeneous execution
Build a production inference pipeline.
practicea)Inference Engine API
b)Multi-model pipelines
c)Edge deployment patterns
d)Monitoring inference
Deliver an FPGA-accelerated AI system.
applya)Workload analysis
b)Acceleration strategy
c)Full system build
d)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.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
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: Virtual, Onsite and Hybrid
Choose how your team learns Deep Learning with FPGA and OpenVINO: every mode keeps the same curriculum, labs, and instructor coaching.
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
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
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Learn from industry experts.
Every session is led by a practitioner who has run monitoring for models in production, not a generalist working from slides.
Anudeep
Data Science with Python Trainer in Hyderabad
11+ years of Experience
Sudhanshu
Machine Learning Trainer in Bareilly
19+ years of Experience
Udayraj
Deep Learning and Python Trainer in Ahmednagar
7+ years of Experience
Soudamini
Data Science Trainer in Hyderabad
13+ years of Experience
Senthil
Machine Learning Trainer in Chennai
12+ years of Experience
Surabhi
Deep Learning trainer in Thane
3+ years of Experience
Lova
NLP and Data Science Trainer in Rajahmundry
4+ years of Experience
Trainers are matched to your stack and delivery window at scheduling. We confirm your assigned trainer, with a full profile, before the program is booked.
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 optimise and accelerate models on Intel FPGAs and processors, and the result feeds edge deployments where speed and power use matter.
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.
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 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.