Artificial Intelligence (AI) Training for Non-Programmers

Course Overview

SublimeAI's Artificial Intelligence (AI) Training: This course will teach you how to build Artificial Intelligence and accelerated computing applications. Sublime AI was formed on the belief that the real big application of Deep Learning and AI are in the enterprise world. Sublime AI has offices in Silicon Valley and in India. We have extensive training programs in place and our training is not academic but rather involves launching a consumer grade mobile applications to production. Each of our students are required to push an AI application to production single handedly. The talent has deep expertise building data products at companies such as WalmartLabs, Kosmix, Lore IO, and Stryker. Register & Become Certified!

Schedule Register


30 hours of Instructor Led Artificial Intelligence (AI) Training


Lifetime Access to Recorded Sessions


Practical Hands-On Approach


Real World use cases and Scenarios


24/7 Support


Expert & Certified Trainers

  30 Hrs 

Lecture Instructor-Guided Lessons and Activities

  20 Sessions 

Labs & Exercises Hands-on practice on Tools

  15 Mins After Each Session 

Doubts Calrifications Q & A Session.

Tools & Frameworks





Ruby on Rails



Applications of AI

Learn The Foundations of Machine Learning, AI, & Robotics in Business. Apply Now. Learn How To Transform Your Organization and Career with AI. This part will cover practical AI applications in various industries such as manufacturing, retail, hedge funds, education, healthcare, etc. It will walk you through the steps that companies followed to build those applications like actual case studies.







Types of AI

Learn different types of AI. Gain a deeper understanding of what AI can and cannot do

GAN Networks

CNN Networks


RNN Networks

LSTM Networks

Transfer Learning

Intro to Data Science, Analytics, and Machine Learning

Learn The Foundations of Data Science, Analytics and Machine Learning. This course will cover the basics of machine learning and help you understand how to read the latest trends in AI Technology

Unsupervised Learning

Supervisied Learning

A/B Testing

Linear Algebra

Dimensionality Reduction

Loss Functionss

Python Language Basics, IPython, and Jupyter Notebooks

This module will walk you through an introduction of python, how to code, how to set-up an environment to program AI, including a tutorial on iPython, and Notebooks which are industry standards and used by companies who are programming AI.

NumPy Basics, Arrays, and Vectorized Computation

NumPy, short for Numerical Python, is the fundamental package required for high performance scientific computing and data analysis. In this module we will go deeper into how AI systems are using linear algebra to learn patterns from data.
This module will cover areas like stochastic gradient descent, loss functions, and parameter turning

Getting Started with Pandas

Method Chaining

Object Creation

Viewing Data


Boolean Indexing

Missing Data

Data Wrangling, Join, and Combine and Reshape

Environment Setup

Data Pivoting

Filter Values in Pandas Dataframe

Group Values in Pandas Dataframe

Duplicate Data

Combining Data

Plotting and Visualization

Data Visualization

Introduction to Matplotlib

Line Plot

Bar Chart

Histogram Plot

Box and Whisker Plot

Predictive Business Analytics

Time Series

Time Series Classification

Time Series Analysis

Time Series Forecasting

Traffic Prediction

Stock-Market Prediction

Computer Vision

Semantic Segmentation

Image Classification

Object Detection

Image Generation

Pose Estimation

Super Resolution

Natural Language Processing

Machine Translation

Language Modelling

Question Answering

Sentimnet Analysis

Text Classification

Named Entity Recognition


Medical Image Segmentation

Drug Discovery

Lesion Segmentation


Patient Outcomes



Visual Odometry

Robot Navigation

Motion Planning

Robotic Grasping

Visual Navigation

Legged Robots

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Deep Industrial Experience in applications of AI in Medicine, over 10+ years of industry experience, based out of the US


Over 15+ experience in IT, Databases, Python, Dev Operations from companies in US and India


7+ Years of Experience in Big Data, Hadoop, Map-Reduce, and Data Wrangling


15+ years of experience of applying AI in Education, Retail, Medicine, and Document Management


Deep Expertise in Telecom, Networking, IOT and Product Management Space


5+ Years of Experience in various neural network models, and full-stack engineering

AI Certification 

Upon successful completion of the program, you will be awarded a Certificate from SublimeAI for Artificial Intelligence (AI) Training

Complete Your Course

Successfully complete your course and let the community know about your achievement.

Become Certified

Get your certificate by SublimeAI and have it generated to print with your name

Get Jobs

Don’t just show off your achievement to the community, use it to advance in your career.



I came across SublimeAI searching for AI courses. The trainers are excellent. This training helped me get a better job and I love what I do


SublimeAI's course is very practical. If you are looking for theory then it is not the best place because most of the instructures are from industry


What I found special about SublimeAI's training is that it is suited for people without any programming background. I am able to make some simple AI applications on my own

Frequently Asked Questions

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

The intructor will help set-up the programming environment on your machine. For advanced programming SublimeAI also provides GPU so you can practice building models.

If you have already enrolled and started your class then cancellation can be initiated with full refund within 2 days or 48 hours. Please make note that refunds will be processed within 30 days of prior requests.

Our instructors are leaders from industry who have practical experience of building AI applications. SublimeAI verfies their technical background and expertise.

Have more questions?



4 Hrs

  •  10:30-11:00 – Recap
  •  11:00-12:00 – Lecture
  •  12:00-12:30 – Q&A
  •  13:30-14:30 – Practical Exercise


4 Hrs

  •  10:30-11:00 – Recap
  •  11:00-12:00 – Lecture
  •  12:00-12:30 – Q&A
  •  13:30-14:30 – Practical Exercise


4 Hrs

  •  10:30-11:00 – Recap
  •  11:00-12:00 – Lecture
  •  12:00-12:30 – Q&A
  •  13:30-14:30 – Practical Exercise

Enrollments are open