Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now for our one-week internship course and learn to build and apply your own deep neural networks to challenges like image classification, model deployment, etc. In this course you will familiarize with Neural Network and Convolutional Neural Network and you will learn to program in Python for ML applications. You will also learn to use Computer Vision.
Attain internationally valued certificate from Pace Lab – IET (Institution of Engineering and Technology). It will be serial numbered and emblazoned with licensed institutional logos.
Authenticity of the certificate can be verified by scanning the QR code provided on the certificate.
- Learn to create real-time facial model.
- Learn Python programming for Machine Learning.
- Familiarize with Jupyter notebook.
- Learn basic functions
- Understand the functioning of Neural Network.
- Understand Convolutional Neural Network.
- Gain knowledge on Computer Vision.
- Study how to deploy Machine Learning model.
- Learn to Build Image Classifier using Deep Learning.
- Lectures, assignments, assessments with total 20 hours of content.
- Live software training and practice included.
- Learn Deep Learning basics from a professional trainer from your own desk.
- Best suitable for beginners to advanced level users and who learn faster when demonstrated.
- Course content designed by considering current trend in technology and the job market.
- Practical assignments at the end of every session.
- Practical learning experience with live project work and examples.
- Live interaction for doubt clearance.
- Lectures 40
- Quizzes 0
- Duration 20 hours
- Skill level All levels
- Language English
- Students 0
- Certificate No
- Assessments Yes
Introduction to AI and ML
Demo on Machine Learning
Python for Machine Learning
Machine Learning Model
Convolutional Neural Network