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

Empower your teams with expert-led on-site, off-site, and virtual Deep Learning with FPGA and OpenVINO Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

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.

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Key Skills Employees Gain from instructor-led Deep Learning with FPGA and OpenVINO Training

Deep Learning with FPGA and OpenVINO skills corporate training will enable teams to effectively apply their learnings at work.

  • 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.

Key Learning Outcomes of Deep Learning with FPGA and OpenVINO Training Workshop for Employees

Upon completing Edstellar’s Deep Learning with FPGA and OpenVINO workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

  • 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

Key Benefits of the Deep Learning with FPGA and OpenVINO Group Training with Instructor-led Face to Face and Virtual Options

Attending our Deep Learning with FPGA and OpenVINO group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

  • Learn to navigate the complexities of FPGA and OpenVINO toolkit to accelerate deep learning applications, enhancing your technical toolkit with advanced AI deployment strategies
  • Equip teams with the skills to optimize deep learning algorithms for FPGA, ensuring high efficiency and performance in AI-driven projects
  • Develop an understanding of the practical aspects of converting and mapping AI models onto FPGA architecture, enabling effective use of hardware acceleration in real-world applications
  • Explore the potential of FPGA clusters for scalable AI solutions, gaining insights into the setup and management of high-performance computing resources
  • Learn the principles of deep learning model optimization for inference engines, mastering techniques to enhance model performance on various hardware platforms
  • Equip projects with cutting-edge tools and libraries necessary for accelerating computer vision applications, setting new benchmarks in processing speed and accuracy

Topics and Outline of Deep Learning with FPGA and OpenVINO Training

Our virtual and on-premise Deep Learning with FPGA and OpenVINO training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it 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 Can Take the Deep Learning with FPGA and OpenVINO Training Course

The Deep Learning with FPGA and OpenVINO training program can also be taken by professionals at various levels in the organization.

  • 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

Prerequisites for Deep Learning with FPGA and OpenVINO Training

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.

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Deep Learning with FPGA and OpenVINO Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Deep Learning with FPGA and OpenVINO training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Virtual Deep Learning with FPGA and OpenVINO Training

Edstellar's Deep Learning with FPGA and OpenVINO virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
On-site Deep Learning with FPGA and OpenVINO Training

Edstellar's Deep Learning with FPGA and OpenVINO inhouse face to face instructor-led training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
Off-site Deep Learning with FPGA and OpenVINO Training

Edstellar's Deep Learning with FPGA and OpenVINO offsite face-to-face instructor-led group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

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Deep Learning with FPGA and OpenVINO Corporate Training

Looking for pricing details for onsite, offsite, or virtual instructor-led Deep Learning with FPGA and OpenVINO training? Get a customized proposal tailored to your team’s specific needs.

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        Edstellar: Your Go-to Deep Learning with FPGA and OpenVINO Training Company

        Experienced Trainers

        Our trainers bring years of industry expertise to ensure the training is practical and impactful.

        Quality Training

        With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

        Industry-Relevant Curriculum

        Our course is designed by experts and is tailored to meet the demands of the current industry.

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        Our course can be customized to meet the unique needs and goals of your organization.

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        We provide pre and post training support to your organization to ensure a complete learning experience.

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        Testimonials

        What Our Clients Say

        We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

        "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

        Get Your Team Members Recognized with Edstellar’s Course Certificate

        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.

        Certificate of Excellence

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        The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

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