Artificial Neural Networks with NeuroLab and Python

You’re going to learn hands-on artificial neural networks with neurolab, a lesser-known and traditional Python library for artificial intelligence.


  • This is an intermediate level course. You should know Python programming, have basic math knowledge, and basic concepts of machine learning before enrolling.


You’re going to learn hands-on artificial neural networks with neurolab, a lesser-known and traditional Python library for artificial intelligence. This is a hands-on course and you will be working your way through with Python and Jupyter notebooks.

What you will learn:

  • Basic concepts of neural networks (refresher)
  • The perceptron
  • Single-layer neural network
  • Multi-layer neural network
  • Recurrent neural networks (RNN)
  • Optical character recognition (OCR)

Who this course is for:

  • This course is for you if want to learn practical machine learning
  • This course is also for you if you’re a machine learning professional or work in a management position and want to expand your technical knowledge in the field
  • If you’re a student, know some programming and want to learn about artificial neural networks with lesser know libraries, this course is also for you

Course content

Machine Learning through Case Studies for Beginners

Get a comprehensive understanding of what Machine Learning is

Experience Machine Learning in practice through real world case studies

Get a broad overview of different Machine Learning models


  • None


Are you a beginner looking to get started with Machine Learning? This course offers a gentle introduction to Machine Learning through real world case studies as you invent your first Machine Learning algorithm.

This course gives you a broad overview of the variety of Machine Learning models and provides a learning ladder to continue learning. It also presents applications that use Machine Learning and details a plethora of techniques that are used to evolve Machine Learning models from data.

This course presents data for a simple case study of classifying emails automatically. It provides the data set, identifies features ans labels and presents the intuition behind any Machine Learning algorithm. The course goes on to talk about both the (i) Supervised and (ii) Unsupervised learning models. It presents an analysis of over fitting and under fitting in models.

The course aims to motivate a beginner to get started with their Machine Learning journey. This course will be further supplemented with focused sessions on various regression, classification and clustering algorithms.

The subsequent sessions will get in to the Math behind the algorithm while solving a real world case study. Students who continue this course through the recommended ladder will eventually have the skills to build and deploy Machine Learning models to production.

Who this course is for:

  • Any software developer wanting to begin their journey in Machine Learning and Artificial Intelligence

Course content

Basics of Deep Learning

Basics of Deep Learning

This is an introductory course on Deep Learning. The students will get to know the evolution of deep neural network and their application in areas like image recognition, natural language processing etc.


  • Basic Mathematics


Have you ever wondered what is Deep Learning and how it is helping today in powering Artificial Intelligence?

This basic course in Deep Learning may unravel some of them. You dont need any technical or coding background to know the basic fundamentals of Neural Network. This course is designed for functional consultants, product managers as well as developers and architects.

Contents of the course:

1. Inspiration for Deep Learning

2. Key Concepts of Deep Learning

3. Improving the model

4. Convolutional network

5. Recurrent network

6. Word representation

Who this course is for:

  • All Developers, Business Managers, Functional leads, AI enthusiasts

Course content

Machine Intelligence – an Introductory Course

Machine Learning algorithms

Artificial Intelligence algorithms

Information Retrieval algorithms

Deep Learning algorithms

Quantum Computing algorithms

Computer Vision algorithms

Natural Language Processing algorithms


  • Understanding of Calculus and Linear Algebra will help better understand most of the concepts discussed here. But you can look for helpful resources alongside studying this course.


This course focuses on the theoretical aspects of the field of Data Science and Machine Learning. It helps the students to quickly gain an in-depth overview of different algorithmic techniques used in various domains and applications. This course features external links to further enhance the experience and reinforce the concepts acquired. It also provides easy explanations of popular and useful research papers that are driving this field forward.

Who this course is for:

  • Aspiring and Professional Data Scientists and Machine Learning Engineers.
  • Students pursuing their PhD and looking for a refresher course.

Course content

Learn Basic of Emerging Trends in Computer

Emerging Trends in Computer & Information technology Field


  • Be able to identify the concepts of Computer Sciences.


The aim of this course is to  help students to attain the industry identified competency through various teaching learning experience: acquire knowledge of emerging trends. Advancements and applications of Computer Engineering and Information Technology are ever changing. Emerging trends aims at creating awareness about major trends that will define technological disruption in the  upcoming years in the field of Computer Engineering and Information Technology. These are some emerging areas expected to generated revenue, increasing demand as IT professionals and open avenues of entrepreneurship. The Objectives of the course are Differentiate between Machine Learning & Deep Learning, State IoT issues & Challenges in deployment, Describe the given model of Digital Forensics Investigation, Describe the given evidence handling, Describe the need to hack your own systems, Describe Database Vulnerabilities. The outcomes of the course are Describe Artificial Intelligence, Machine Learning & Deep Learning: Describe the concept of AI, State the components of AI, Differentiate between Machine Learning & Deep Learning, Interpret IoT Concepts: Describe IoT Systems in which information and knowledge are inferred from data, State IoT issues and challenges in deployment, Compare Model of Digital Forensic Investigation: Describe the given model of Digital Forensics Investigation, State the ethical and unethical issues in Digital Forensics, Describe Evidence Handling Procedures: List the rules of digital evidence, Describe the given evidence handling procedures, Describe Ethical Hacking Process: Describe the need to hack your own system, Detect Network, Operating System & Application vulnerabilities: Network Infrastructure vulnerabilities (Wired/Wireless),Describe Messaging Systems vulnerabilities.

Who this course is for:

  • Beginners of Software developers, Under graduates in Computer Science

Course content

Cryptocurrencies | Earning Passive Income

What is passive income?

What are the sources of passive income?

What is Cryptocurrency trading?

Is there a safe, risk-free, and profitable method of trading crypto?

Discussion on the crypto trading platform(s)

Artificial intelligent crypto trading


  • A computer and/or smartphone


Let’s look at some questions first:

Do you want to earn some passive income?

Do you want to earn this income with minimum to no risk involved?

Do you want to earn this income automatically with almost no involvement?

Do you want to trade cryptocurrencies?

Do you want to trade crypto with no experience or knowledge of the charts, trends, and patterns?

Do you want an artificially intelligent bot to trade for you?

If the answer to any/all of the above questions is yes, then you have come to the right course.

The main motive behind this course is to show you an excellent method of trading cryptocurrencies with zero knowledge of the crypto, plus with almost no risk involved. As you may already know that cryptocurrencies are very volatile, that’s why it is not easy to understand the trends and charts. However, there are experts who clearly understand these patterns and have been earning millions of dollars. As a common person with little knowledge of cryptos, we always wish to be a part of this profit earning trade but are reluctant.

This is the reason that I have come up with this course. I am not a financial advisor and would not give you any financial advice. I have designed this course just because I have also started trading crypto using the method(s) that I will teach you in this course. So far, it has been earning me regular and consistent profit. The AI bot that I am using is trading cryptos for me every second, and even do so when I am asleep. This means that I am not actively involved in the process of this trade because the artificially intelligent bot (with no human emotions) is doing it to me.

I am confident, that this course will help you learn how to earn passively by trading crypto using an artificially intelligent bot.


Who this course is for:

  • Anyone who wants to learn Crypto trading in a risk-free method

Course content

Revolutionize Your Business With ChatGPT + Zapier

Master the basics of AI automation with ChatGPT and Zapier, and understand their potential benefits for enhancing business processes.

Implement AI-powered solutions for customer support, content creation, data analysis, and workflow automation, tailored to your business needs.

Develop and maintain effective AI automation systems by establishing best practices, monitoring performance, and troubleshooting issues.

Create innovative custom solutions by integrating ChatGPT and Zapier for unique and efficient business applications.

Stay updated on AI automation developments, build a strategic plan for implementation, and access resources for ongoing learning and support.


  • Access to ChatGPT and Zapier accounts (free or paid)
  • Willingness to learn and adapt to new technologies
  • No prior experience in AI, programming, or automation required


Harness The Power of Artificial Intelligence

Learn how to streamline processes, increase efficiency, and drive growth for your business.

  • Includes: 11 Lessons, 7 Pre-set Automations, Optimized AI Prompts, Informational PDFs, Monitoring Formulas, Audio Files & More!
  • Comprehensive coverage: The course covers everything from the basics of using AI Automation to advanced techniques for fine-tuning and customizing the model to suit specific use cases.
  • Hands-on learning: The course includes interactive exercises and real-world examples to help learners apply their knowledge and build practical skills.
  • Expert instruction: The course is taught by experienced practitioners who have a deep understanding of AI Automation and its capabilities.
  • Up-to-date information: The course is based on the latest version of ChatGPT and covers the latest techniques and best practices for using the model.
  • Flexibility: The course is available online, so learners can access the material at their own pace and on their own schedule.

Master the art of adapting ChatGPT + Zapier for specialized applications, and grasp the vital skills and insights necessary to elevate your business to new heights. Embrace this transformative opportunity to revolutionize your operations, enhance customer experiences, and foster a culture of innovation that positions your organization as a leader in the competitive market. I have over 5+ years of experience in the service industry. My passion lies in automation and artificial intelligence, and I am dedicated to leveraging these tools to drive success in business.

Who this course is for:

  • Business owners looking to optimize operations and increase efficiency
  • Entrepreneurs seeking innovative ways to grow and scale their ventures
  • Marketing professionals aiming to enhance content creation and customer engagement
  • Individuals interested in understanding and applying AI automation in various business contexts

Course content

Make Teaching Easier with Artificial Intelligence (Chat GPT)

Learn different types of AI and how to use them as a teacher

Save you time each week on administrative tasks

Plan for the implications of Chat GPT on student assessment

Increase your creativity and professional writing ability as a teacher


  • No prior experience with artificial intelligence required.


Welcome to our course on using modern artificial intelligence to automate teacher administrative tasks. Are you tired of spending countless hours on lesson planning, creating test questions, providing student feedback, and marking assignments? In this course, we will show you how to use tools like OpenAI’s ChatGPT to drastically reduce your workload and free up your time for more important tasks.

We will explore a variety of AI-powered solutions that can assist with various administrative tasks, including lesson planning, writing emails to parents, creating test questions (both multiple-choice and extended-answer/essay), writing cover letters, writing emails to colleagues, differentiating your lessons by providing scaffolded activities, writing summaries of professional reading sources for your own growth and development, providing personalised feedback to students, and even marking extended responses. This course is designed to be practical and hands-on, so you can start implementing these tools in your own teaching practice right away.

By the end of this course, you will have a comprehensive understanding of how to use artificial intelligence to streamline your teacher admin tasks and save time (I use it to save 4 hours each week!). I’ve also included a 70+ page course companion PDF that contains all of the tips and tricks taught throughout this course. Don’t miss this opportunity to join us on this exciting pedagogy-pivoting journey and transform your teaching practice with the power of AI.

Who this course is for:

  • Educators, Teachers (Primary, Secondary and Tertiary), Early-Career Teachers, Pre-Service Teachers

Course content

Decoding GPT

Understanding the background and concept of GPT

How to use chat GPT

How to create custom bot using GPT

Future of Generative AI


  • No programming skills required


Are you still wondering what ChatGPT is all about?  Why some people are calling it the ‘steam engine’ moment in AI history? Will it change our future in a significant way?

This basic course in ‘Decoding GPT’ may help you answer some of the above questions. You dont need any technical or coding background to know the basic fundamentals covered in the course. This course is designed for functional consultants, product managers as well as developers and architects.

The course covers the basic theory of language and why it is difficult for computers. It covers chronologically the scientific progress made in natural language processing. It explains the pre-GPT era using statistical models and later using neural networks like RNN. The recent development in chat GPT has fundamentally changed this knowledge area.

The course talks about the theory behind transformers and how they can handle the natural language tasks so well. The course also has hands-on sessions on the use of Chat GPT and the GPT APIs to create our own custom applications. In the final section the course talks about the future of GPT and how these tools can eventually lead to the creation of artificial general intelligence.

This course is for beginners and no background in computers or AI is required.

Who this course is for:

  • Business executives, Software application developers

Course content

ChatGPT Important terminologies for Beginners in 1 hour

Students will understand and know about chatGPT

Students will know about chatGPT possibilties

They will know about Various chatGPT API’s like ada, babbage, curie, davinci and Dall E for image generations

Students will know about the basic terminologies like token, prompts, top_p setting, temperature setting etc


  • No any prior knowledge required , any person can take this course


  1. Introduction to chatGPT: In this video, you’ll learn about chatGPT, a powerful language model created by OpenAI. We’ll explore what GPT stands for and what makes chatGPT unique. You’ll also get an overview of the various features and applications of chatGPT, such as generating text, summarizing paragraphs, and translating languages.
  2. All the Basic Terminologies of chatGPT API: In this video, we’ll dive into the basic terminologies of the chatGPT API. We’ll explore key concepts like tokens, prompts, and responses. You’ll learn how to use these terms to interact with the chatGPT API and generate text in a variety of formats.
  3. Conversions example: In this video, we’ll explore how to use chatGPT to generate text based on a given prompt. Specifically, we’ll focus on the “conversions” feature, which allows chatGPT to generate text in a variety of formats. We’ll walk through some examples of how to use this feature, and discuss best practices for getting the most out of it.
  4. Translations example: In this video, we’ll explore how to use chatGPT to translate text from one language to another. We’ll walk through some examples of how to use the translation feature, and discuss key considerations like accuracy and speed. You’ll learn how to use chatGPT to translate text in real-time, as well as how to batch-translate large amounts of text.
  5. Generations example: In this video, we’ll explore how to use chatGPT to generate text based on a given prompt. We’ll walk through some examples of how to use the “generations” feature, which allows chatGPT to generate text in a variety of styles and formats. You’ll learn how to use this feature to generate creative writing, social media posts, and much more.
  6. Creating horror stories: In this video, we’ll explore how to use chatGPT to generate horror stories. We’ll walk through some examples of how to use the “generations” feature to create spooky and suspenseful stories. You’ll learn how to use prompts and other features to customize your horror stories and make them truly terrifying.
  7. Converting from one language to another language: In this video, we’ll explore how to use chatGPT to convert text from one language to another. We’ll walk through some examples of how to use the translation feature to convert text in real-time or in batches. You’ll learn about the strengths and weaknesses of different translation methods, and how to get the most accurate results.
  8. Summarise the big paragraphs: In this video, we’ll explore how to use chatGPT to summarize large paragraphs of text. We’ll discuss the key concepts behind summarization, and walk through some examples of how to use chatGPT to generate concise summaries of long texts. You’ll learn how to customize your summaries based on your needs and preferences, and how to evaluate the accuracy and effectiveness of your summaries.

Who this course is for:

  • Anybody who wants to know about ChatGPT

Course content