Artificial Intelligence Lab
Artificial Intelligence is the future of growth, which has the potential to fuel the growth of the world economy. Artificial Intelligence will change the nature of work and create a new relationship between man and machine. The increased demand for Artificial Intelligence led industry revolution that has developed a need of creating a pool of trained resources.
The BFCET is proud to announce the establishment of the Intel Unnati Artificial Intelligence Lab in collaboration with Intel, a global leader in semiconductor manufacturing and technology innovation. This partnership aims to provide students with exceptional exposure and opportunities in the cutting-edge field of Artificial Intelligence (AI) and Machine Learning (ML) .
Intel, renowned for its expertise in AI, brings its vast experience and technological prowess to the collaboration. With a strong focus on developing AI hardware and software solutions, Intel has been at the forefront of revolutionizing industries across the globe. The collaboration between BFCET and Intel underscores our joint commitment to creating the best learning environment and infrastructure for AI education.
Intel® AI Certification
Advance your career and get recognized for your new, marketable skills with Intel® AI Certification. The self-paced, online training course includes virtual classroom instruction and hands-on projects as you learn to use the latest Intel® developer tools and platforms to create your own portfolio of edge AI solutions.
Certification Benefits
Get access to exciting career opportunities and strong professional networks. Your Intel® AI Certification tells employers that you are a solid candidate with the skills and expertise they need on their development team.
Career Boost
Intel Cerification
Network Growth
Hands-On Learning
Industry Skills
Learning Rewards
Certificate Courses offered
Machine Learning on Modern Intel Architecture
Learning Outcomes:
- Supervised learning algorithms
- Key concepts like under- and over-fitting, regularization, and cross-validation
- How to identify the type of problem to be solved, choose the right algorithm, tune parameters, and validate a model
- Unsupervised learning
Deep Learning on Modern Intel Architecture
Learning Outcomes:
- Techniques, terminology, and mathematics of DL
- Fundamental neural network architectures, feedforward networks, convolutional networks, and recurrent networks
- How to appropriately build and train models
- Various deep learning applications
- How to use pre-trained models for best results
Deploy on Modern Intel Arch using Intel Distribution of Open Vino Toolkit
Learning Outcomes:
- Learn about Intel® Distribution of OpenVino toolkit for DL inference
- Model Optimizer and Inference Engine
- Accelerators based on Intel® Movidius™ Vision Processing Unit
- Accelerators based on Intel® Arria® FPGA
- Using Multiple Models in One Application
- DL Workbench & Streamer (Optional)
Successfully Completed Projects @INTEL Unnati Lab
PROJECTS COMPLETED
Road Object detection with deep learning.
Smart mobile phone price prediction using machine learning.
Social Distancing Project using Computer vision and deep learning.
Design and implementation of slow and fast division algorithm in computer architecture.
Design and functional simulation of land rover FIGO FSM.
Prerequisites
- Intermediate knowledge of programming in Python
- Familiarity with JupyterLab or Jupyter Notebooks
- Familiarity with different deep-learning layers and architecture(CNN-based)
- Familiarity with the Linux* command line (bash terminal)
- Experience using OpenCV
Skills You Will Learn
- Deploy pre-trained models for computer vision
- Develop deep-learning Inference applications
- Test and optimize models on various hardware types
- Build your own portfolio of edge AI solutions
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