Drive Team Excellence with Deep Learning with FPGA and OpenVINO Corporate Training

Deep Learning with FPGA and OpenVINO represents an innovative approach to directly automating Artificial Intelligence (AI) and machine learning algorithms on hardware. The methodology is crucial for organizations looking to enhance computational efficiency, reduce latency, and leverage the full potential of their hardware for AI applications. The need for specialized training in this area arises from the complexity of optimizing and deploying AI models on such specific hardware configurations. The Deep Learning with FPGA and OpenVINO training course equips professionals with the knowledge and skills to navigate this cutting-edge technology landscape.

Edstellar's instructor-led Deep Learning with FPGA and OpenVINO training course stands out by offering a unique blend of theoretical knowledge and practical application, delivered through virtual/onsite formats by industry experts with extensive expertise in the domain. Edstellar ensures that professionals gain a comprehensive understanding of both the theoretical aspects and the practical skills needed to leverage this powerful combination in their organizations, driving forward innovation and efficiency in AI applications.

Get Customized Expert-led Training for Your Teams
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
Experience Hands-On Learning from Industry Experts
Delivery Capability Across 100+ Countries & 10+ Languages
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Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

  • FPGA Architecture
    Fpga Architecture involves designing and implementing field-programmable gate arrays for custom hardware solutions. This skill is important for roles in embedded systems, digital design, and hardware development, enabling efficient, flexible, and high-performance computing solutions.
  • OpenVINO Integration
    OpenVINO Integration involves optimizing deep learning models for efficient inference on Intel hardware. This skill is important for AI developers and data scientists to enhance performance and scalability in real-time applications.
  • Optimization Techniques
    Optimization Techniques involve methods to enhance efficiency and performance in processes or systems. This skill is important for roles in data analysis, engineering, and operations, as it drives cost reduction and improves productivity.
  • Model Conversion
    Model Conversion is the process of transforming machine learning models to different formats for compatibility. this skill is important for data scientists and engineers to ensure seamless deployment across platforms.
  • Deep Learning Acceleration
    Deep Learning Acceleration involves optimizing neural networks for faster training and inference. This skill is important for roles in AI research, data science, and software engineering, as it enhances model performance and efficiency.
  • Computer Vision Implementation
    Computer Vision Implementation involves developing algorithms that enable machines to interpret visual data. This skill is important for roles in AI, robotics, and autonomous systems, enhancing automation and decision-making.

What Your Team Will Achieve After This Training

  • Apply principles of FPGA architecture and the OpenVINO toolkit to develop and accelerate deep learning applications, significantly reducing computation time and energy consumption in your organization's AI projects
  • Utilize advanced optimization techniques to adapt deep learning models for efficient execution on FPGA, improving performance metrics such as latency and throughput in critical applications
  • Integrate OpenVINO's comprehensive suite of tools and libraries to streamline the development process, from model training to deployment, enhancing the AI development lifecycle in your team's projects
  • Design and implement FPGA-based solutions for computer vision tasks, leveraging the accelerated processing capabilities to solve complex problems in real-time applications such as surveillance, quality inspection, and autonomous vehicles
  • Execute model conversion and optimization processes using OpenVINO, ensuring that AI models are fully compatible and optimized for inference on a variety of hardware platforms, including FPGAs

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

  1. Purpose and scope of the course
    • Overview of deep learning acceleration
    • Importance of FPGA and OpenVINO in modern AI solutions
  1. Programming languages overview
    • Python and C++ usage in AI development
  2. Key tools and libraries
    • Introduction to OpenVINO, TensorFlow, and PyTorch
    • Accelerating libraries for FPGA
  1. Installation process
    • System requirements and compatibility
    • Step-by-step installation guide
  2. Configuration and verification
    • Environment setup
    • Verification of installation success
  1. Core components of OpenVINO
    • Model Optimizer, Inference Engine, and DL Workbench
  2. Supported models and layers
    • Overview of compatible AI models and their layers
  1. Comparison between GPU and FPGA acceleration
    • Advantages and disadvantages
  2. Use cases for FPGA acceleration
    • When to choose FPGA over GPU
  1. Best practices for FPGA programming
    • Code optimization for efficiency
  2. Tools for FPGA development
    • SDKs and APIs for development and testing
  1. Understanding model formats
    • From TensorFlow to OpenVINO
  2. Conversion tools and techniques
    • Using the Model Optimizer for conversion
  1. Principles of network mapping
    • How do deep learning models map onto FPGA?
  2. Tools and methodologies
    • Software tools to facilitate mapping
  1. Introduction to acceleration stacks
    • Components and purpose
  2. Setting up and managing an FPGA cluster
    • Configuration and maintenance tips
  1. Discovery mechanisms
    • How can applications identify and leverage FPGA accelerators?
  2. Integration with existing systems
    • Ensuring seamless operation with other system components
  1. Finalizing the application for deployment
    • Optimization and testing

Who Should Attend?

This program suits professionals at many levels across the organization, including:

  • FPGA Engineers
  • Deep Learning Engineers
  • AI Engineers
  • Data Scientists
  • Embedded Systems Engineers
  • Hardware Engineers
  • Research Scientists
  • Computer Vision Engineers
  • System Architects
  • Product Managers
  • Signal Processing Engineers
  • Algorithm Developers

What are the Prerequisites?

Professionals with a basic understanding of deep learning concepts and familiarity with programming languages like Python can take up Deep Learning with FPGA and OpenVINO training.

Request a Quote for your Corporate Training Requirements

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Deep Learning with FPGA and OpenVINO Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide
Standardized content for consistent outcomes
Join from own workspace, no travel
We scale to large groups across sites
Interactive tools keep remote learners engaged
On-site Deep Learning with FPGA and OpenVINO Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office
We tailor setup/content to your workplace and tools
Group exercises drive collaboration
Live demos +  hands-on practice
Direct trainer access to clarify doubts
Off-site Deep Learning with FPGA and OpenVINO Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice
Built-in group activities for bonding
Full uninterrupted schedule for focus/retention
Boosts morale and signals commitment

Get a Proposal Shaped to Your Needs

Need pricing for onsite, offsite, or virtual delivery? Get a proposal tailored to your team's needs.

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        What Sets Edstellar Apart

        Experienced Trainers

        Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

        Proven Quality

        With a strong global track record, Edstellar is known for quality and engaging delivery.

        Industry-Relevant Curriculum

        Our programs are built by experts to match the demands of today's industry.

        Fully Customizable

        Every program can be tailored to your organization's goals.

        Comprehensive Support

        We provide pre- and post-session support for a complete learning experience.

        Global Multi-Location & Multilingual Training Delivery

        We deliver in multiple languages to support diverse global teams.

        Hear from Organizations We've Trained

        "The Deep Learning with FPGA and OpenVINO course revolutionized how I approach my daily responsibilities. As a Embedded Systems Engineer, understanding strategic frameworks was essential, and this training invaluable real-world experience. I've successfully implemented these advanced techniques in production environments with measurable impact. The instructor's insights on interactive labs have proven instrumental in my professional advancement.”

        Ashley Grant

        Embedded Systems Engineer,

        Enterprise Software Development Firm

        "The Deep Learning with FPGA and OpenVINO training provided critical insights into industry best practices that enhanced my consulting capabilities. As a FPGA Engineer, I now leverage practical simulations with exercises on real-world case studies prepared me perfectly for real-world client scenarios. Client engagement and retention metrics have improved significantly across our practice, demonstrating immediate value from this investment.”

        Xu Hua

        FPGA Engineer,

        Global Technology Solutions Provider

        "The Deep Learning with FPGA and OpenVINO training transformed our team's entire approach to professional expertise management and execution. As a Research Scientist, the extensive coverage of advanced proven concepts to enhanced capabilities. We completed our comprehensive digital transformation initiative significantly ahead of schedule. Our team's productivity and solution quality have improved measurably, validating this investment.”

        Rajendra Mahato

        Research Scientist,

        Technology Consulting Services Company

        “Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

        Aditi Rao

        L&D Head,

        A Global Technology Company

        Recognition That Motivates Your Team

        Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Recognition That Motivates Your Team

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