Fundamental of Artificial Intelligence with Python

Learn data modelling for AI use cases using Python

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The future will have AI as an integral component of every job sector. It is creating new
career paths in the field of machine learning, data mining, analytics, software
development, program management, and testing.
The demand for AI professionals is growing exponentially with each passing year. This
can be seen in the rise in demand for professionals working on large datasets using
programming languages like R & Python.
With this program, we aim to impart fundamental programming skills to students so that
they can fill these roles in the market. The objective of the course is to present an overview
of Artificial Intelligence (AI) principles and approaches. Develop a basic understanding of
the building blocks of AI – specifically within the hottest emerging fields of data analysis
and machine learning.
Our program will also provide you with the latest job-ready tools and skills, including opensource tools and libraries, python data visualization, data analysis, basics of machine
learning algorithms and an understanding on how to deploy AI systems. You will learn AI
through hands-on practice using data science tools and real-world data sets.
Upon successfully completing this course, you will have built a portfolio of AI projects to
provide you with the confidence to plunge into an exciting profession within the ever
growing AI skill universe.

Prerequisite knowledge

This course requires good understanding of English language and education level should be DAE(Engr) / ICT / BE / BS / BA and above in Computer Science, Electrical Engineering, Mechatronic, Mechanical Engineering verticals. Basic understanding of computer languages like C++, HTML, SQL would be preferred.

Skills Proficiency

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

Working with Python as a fundamental programming language
Understanding Python syntax and performing basic functions
Using Python to perform numerical & scientific operations on data
Working with NumPy for numerical computing and pandas for Data manipulation
Have skills to ingest, cleanse, manipulate and visualize data using Python
Finding outcomes based on given data
Understanding Machine Learning algorithms
Deployment of basic AI solutions within Computer / IT projects

What we offer

Training Material

Facilities

Career

Projects involved

Making machine learning models / Applying machine learning on Dataset

Students will further perform both of the Machine learning paradigms (classification, regression) on gathered and cleaned data sets. During the project classes they will be introduced to new concepts like tuning the hyper parameters of model, feature importance and feature engineering.

Data gathering and creating Dataset

Students will create/gather and maintain their own datasets using the tools they have learned and then will clean the data, perform the Exploratory data analysis on the gathered data

Capstone project

Description: Students will perform all mentioned activities in the supervision of instructor with continued support and regular Q&A sessions. Not only they will do these tasks but will also they will learn new concepts like deploying ML model to website using flask, creating deployment pipeline, etc.

Jobs opportunities

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

Junior Python Developer
Entry Level Data Analyst
Freelance python programmer
Junior AI Internee
Machine Learning Intern

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.

Need Help?

If you still have a question then send us a message and we will be happy to answer your queries.