Fundamental of Machine Learning with Python

Learn fundamentals ML focused on computer vision & Natural Language Processing using Python

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All IT projects are built on the foundations of DATA. Data is the new gold, and AI based
projects thrive on it. Every AI application or software requires a vast amount of data for
development and training e.g., visual AI models need images containing the objects that
we see in our real life, and to make the object of interest recognizable to such models,
the images need to be annotated with the right techniques.
AI is not only about visual data, as AI models also need to understand text data as well.
Only having correct text annotations within the training data model, can derive the right
results required for Chatbots to understand the question and answer it. Chatbots are the
most recognizable application of natural Language Processing (NLP), but badly trained
chatbots can damage company reputation, hence we need to focus on annotating our
text data correctly.
Another method for collecting and using data is through Web Scraping & Automation.
This is an important method used to collect data about products for sale, user posts,
images, and pretty much anything else that is useful on the web. An important skill for
any AI professional to have in their toolbox.
The program will provide you all the necessary knowledge needed to start your journey
in the AI field and the base moving forward to big AI models in the future. You will learn
about creating and annotating large datasets through hands-on practice.
This is a comprehensive course designed to teach students the complete toolkit for
collecting DATA for any type of AI, data science, or automation projects. After completing
this course, they will be able to scrap data using different techniques, automate manual
data processes, and annotate images / text for their own consumption, or earn by securing
the thousands of freelance projects available online.

Prerequisite knowledge

This course requires good Understanding of English and minimum education level should be BS / BE / MS / ME and above in Computer Science, Electrical Engineering, Mechatronic, Mechanical Engineering verticals. Good understanding of computer languages like Python, R, C++, Java, Matplotlib, etc would be preferred.

Skills Proficiency

On completion of this training program, the trainee’s skill profile will include:

Writing Python programs and mastering different Python libraries
Applying machine learning algorithms. Understanding Natural Language Processing and Image Processing.
Applying Deep Learning with Keras and TensorFlow
Working with state-of-the-art Image Processing tools like YOLO, SSDs and
Detectron2

What we offer

Training Material

Facilities

Career

Projects involved

Handwritten Character Recognition

In this machine learning project, Students will detect & recognize handwritten characters, i.e., English alphabets from A-Z.

Fake News Detection

Fake news spreads like a wildfire and this is a big issue in this era. Students will make a model that recognize which news is fake or not.

Automatic License Number Plate Recognition System

The objective of this machine learning project is to detect and recognize the
license number plate of a vehicle and read the license numbers printed on the plate.

Jobs opportunities

On completion of this training program, trainee will have following career options:

Artificial Intelligence Engineer
Python Engineer / Developer
Machine learning & Deep learning Intern
Computer Vision & NLP intern
Python programmer – freelance work (Upwork, Fiverr, Freelancer, etc.)

Rs 35,000/

Cost

3 Months

Duration

100% Hands-on

Approach

Online / Onsite

Medium

CPD Certified

Certification

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What Our Students say

Hunnar & TEVTA training strategy was just right for me to boost my potential, most importantly, getting my hands dirty doing real world projects with complete life cycle. I could never have this superior learning experience if I were not given this great opportunity from Hunnar.

The Foundations of Artificial Intelligence with Python program by Hunnar and TEVTA was a really great learning experience. Their collaborative LMS was an excellent way to pick up useful skills for the novel capstone project at the end of the course, which tackled real world issues with applications in computer vision. I would highly recommend it for programmers, both beginners and seasoned, who want to establish a career in the growing field of Data Science.

A special thanks to Hunnar & TEVTA for your course, which has made us not only learn AI with applied concepts, but was a truly industrial standard course with focus on developing hands-on skills. This was turning point in my life, as I came to AI with a ton of applied knowledge, but this course has made us trust our abilities.

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