Syllabus

•Session 1 (1.5 hours): Introduction to Python: history, applications, and industry scope
•Session 2 (1.5 hours): Python installation & initial configuration
•Session 3 (1.5 hours): Understanding interface and basic navigation
•Session 4 (1.5 hours): Preference settings & efficient workspace
•Session 5 (1.5 hours): Main tools & menu: functions and basic usage
•Session 6 (1.5 hours): Basic practice: creating first project
•Session 7 (1.5 hours): Basic file import & export in Python
•Session 8 (1.5 hours): Basic file storage & project management techniques
•Session 9 (1.5 hours): Simple case study: Python application in the workplace
•Session 10 (1.5 hours): Review basic material & understanding quiz

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Python Course — Complete Deep Learning & Computer Vision Course 2021

Learn Deep Learning & Computer Vision with Python, Tensorflow 2.0, OpenCV, FastAI. Object Detection & GAN and much more!

What You Will Learn

Use the Latest Tools & Techniques in Deep Learning & Computer Vision
Learn how to use the latest Tensorflow 2.0
How to implement Transfer Learning, Ensemble Learning, using GPU & TPU
Learn to use FastAI
How to use Generative Adversarial Networks
How to use Weights & Biases to record Experiments
Learn to use Detectron2 for Object Detection
Create Machine Learning Web Applications from Scratch
Learn how to use OpenCV for Computer Vision
How to create Real-World Applications & Deploy to the Cloud
Learning Techniques such as Object Detection, Classification & Generation
Learn how to use Heroku to deploy ML models
Work on Kaggle Competitions & Kaggle Kernels
Explore & Visualize Datasets using popular libraries such as Matplotlib & Plotly.
Learn how to use libraries such as Pandas, Sklearn, Numpy
Create Advanced Data Pipelines using Tensorflow to train Deep Learning Models
Set Up Environment & Projects for Deep Learning & Computer Vision

Requirements

Basic knowledge of Python programming
A computer with Internet connection
All tools used in this course are free to use

Description

This New and Modern Deep Learning & Computer Vision Course will teach you everything you need to know to become a Computer Vision Expert.

Deep Learning & Computer Vision are currently one of the most rapidly growing fields of Artificial Intelligence and companies like Google, Apple, Facebook, Amazon are heavily investing in this field. Deep Learning & Computer Vision jobs are increasing day by day & provide some of the highest paying jobs around the world.

If We Want Machines to Think, We Need to Teach Them to See.

Computer Vision enables us to see the world & process digital images & videos to extract useful information to perform specific tasks from classification, object detection, and much more. Python is one of the most popular programming languages used in Deep Learning and Computer Vision.

Frequently Asked Questions

Is this Python course suitable for beginners?▾

The material is structured gradually starting from basic concepts, so participants without prior experience can still follow along with instructor guidance.

What is the learning method?▾

Live online classes via Zoom with experienced instructors, hands-on practice, and session recordings that can be replayed. In-house training options are also available for companies.

Is there a final project that can be used for a portfolio?▾

Yes, each participant completes an end-to-end mini project that can be directly used as a portfolio or thesis/dissertation material.

Do I get a certificate after completion?▾

Yes, participants who complete the program receive an official e-certificate from Cerdas Inovasi Digital.

How do I register?▾

Click the registration button on this course page or contact our admin for consultation on schedules and packages that suit your needs.

Python Course/Training