AI2Go Workshop

The workshop is specially designed for Non-Technical Professionals to begin a career in AI.

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About the Course

The AI2Go Workshop is created for individuals and professionals of non-technical background to begin a career in AI.

No prior programming or computer science background needed

Workshop duration:
4 Weeks

Online live lectures by PhDs and AI industry experts

Industry-recognized certification

AI2Go Workshop Certification Learning Path

4 Weeks: 2 Sessions per week


Day 1


Intro to AI and Programming

The course on this day includes topics such as “What is AI”, “Applications of AI”, “AI Benefits”, “Importance of AI in Different Sectors of Modern Society”, as well as discussions on why the field of AI is ripe for getting into now. As the course is specially created for non-technical professionals, you do not necessarily require any prior programming knowledge to learn about AI. At the same time though, while you can create simple AI models with no code, learning some programming basics can help you build a stronger foundation.

1. Introduction to AI

  • What is AI, ML & DL & its type
  • Project: Create ML model without coding

2. Introduction to Python Programming

  • Basic Python Programming Syntax
  • Python Libraries: NumPy, Pandas, Matplotlib
  • Project: Python Data Visualization

Day 2


Intro to Machine Learning (ML)

The course includes the basics of how machines actually learn to find patterns in data and are able to predict even better than humans. You will learn to build a Regression model to predict housing prices.

1. 7 steps of Machine Learning Workflow

2. Linear Regression

  • Scikit-Learn for Machine Learning
  • Project: House Price Prediction

3. Logistic Regression

  • Project: Iris Classification

Day 3


Intro to Natural Language Processing (NLP)

Language is a cornerstone of human cognition. You will learn how to understand the state of NLP and build a sentiment analysis model to recognize the sentiment of reviews and create a chatbot yourself.

1. Introduction to NLP

  • Why is Natural Language Hard?
  • Applications of NLP
  • NLP Pipeline
  • Converting Text to Vectors
  • NLP workflow
  • Project: Sentiment Analysis
  • Project: Building a Chatbot

Day 4


Introduction to Deep Learning (DL)

By modeling neurons in the human brain into artificial neurons to develop neural networks, scientists have achieved state-of-the-art results in many domains of AI. You will learn how to build simple neural networks.

1. Deep Learning

  • Introduction & Application of Deep Learning

2. Artificial Neural Network

  • Biological and Artificial Neurons
  • Multi-layer Neural Network
  • TensorFlow for Deep Learning
  • Project: Numeric Character Recognition

Day 5


Introduction to Computer Vision (CV)

Pivotal to humans, vision is a sense difficult for computers to learn. And yet, they can recognize objects even better than humans, and learn to build their own image classifiers that can separate one image from the other.

1. Introduction to CV

  • Why is Computer Vision hard?
  • Application of Computer Vision

2. Convolutional Neural Networks (CNN)

  • Extracting features from images
  • Project: Image Classifier

Day 6


Impact of AI on Society

AI is deeply integrated into our everyday lives, in almost all major aspects. You will learn how AI impacts society while also recognizing its possible negative aspects. There will also be discussions on how AI opportunities in businesses can be spotted, and how to best implement them.

Impacts of AI on different sectors: Agriculture, Healthcare, Retail, Finance

1. Methods of AI implementation in business

  • Spotting AI Opportunities
  • Issues with AI Implementation
  • Implementation Strategies

2. Negative Impact of AI: Ethics, Bias, Adversaries

Day 7


Guest Lecturers

Learn from, and interact with, esteemed Guest Lecturers from different renowned universities who possess many years of experience in the domain and have absolute expertise in the field.

1. Optional TA Sessions to support participants in their project works

Day 8


Demo Day

The best learning process is the acknowledgment of mistakes and improvements done upon them to constantly acquire a better understanding. On this day, participants can demonstrate their learned AI skills and knowledge by implementing their proficiency in a domain of their interest.

1. Choose a particular problem that can be solved with AI, relevant to some impact on your chosen domain

2. Develop AI models to solve the problem

3. TAs will be available to support you, there will be optional TA sessions before the Demo Day


AI2Go Workshop Certificate

AI2GO Course Outcome

Course Outcome

  • Sound knowledge of Machine Learning and Artificial Intelligence.
  • Basic working knowledge of Python and how to create Machine Learning models.
  • Basic understanding of the Machine Learning workflow and how to apply it.
  • Ability to create a dataset and AI models to turn your ideas into reality.

Our Lecturers

Our PhDs, seasoned AI industry experts, and faculty from top universities developed the curriculum and assessments to enable industry-ready AI engineers.

Our Lecturers have been a part of

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AI2Go Workshop FAQs

No programming experience is required, students and professionals from all domains are welcome. While having some basic programming ideas is helpful to better understand programming concepts more easily, it isn’t a requirement.

The workshop courses will provide you with basic understandings of Machine Learning, Computer Vision, Natural Language Processing, and their applications and impacts on society. You will be able to create a Deep Learning model capable of classifying images of people wearing masks or not wearing masks. You will also be able to classify the sentiments of a text.

The workshop course series consists of a demo day at the end where students will be asked to form groups and present their AI solutions in whatever domain they choose.

Students will receive a certification if they attend 80% of the sessions.

The prime objective of this course is to provide fundamental understandings of programming ML, CV, or NLP models. It is designed as introductory Artificial Intelligence courses for Non-Technical Professionals and doesn’t require any prior programming experience. All that is required is a passion to learn Artificial Intelligence and a drive to discover your career in AI.

Students can ask their questions regarding the course through chat or email.

This is a paid course. Our team will notify you about the payment procedure once you sign-up and register for your program of choice.

These courses are moderated by a group of instructors and TA with live classes, recitations, and guest lectures. There will be online videos, reading, and programming materials to support student learning as well. There will also be multiple quizzes, assignments, and programming practices to develop coding skills. Furthermore, student support materials will also be provided to help students prepare for jobs, along with potential job opportunitie

Teachers are PhDs and experts in Machine Learning. There will be guest lectures from international teachers as well.

A computer running a 64-bit OS, with at least 4GB RAM, is recommended.

Ready to build your career in Artificial Intelligence?

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