Sep 30, 2023
ChatGPT, Midjourney, Firefly, Bard, DALL-E, AI

Welcome to the future of technology learning – a quick, comprehensive online course designed to help you get started with the most innovative AI tools of our time: ChatGPT, Midjourney, Google Bard, and Dall-E.

In today’s data-driven world, these AI tools are more than just buzzwords. They’re shaping the future of industries, from customer service to content creation, data analysis, and beyond. But here’s the thing: you don’t need to be a tech genius to understand them. That’s where we come in.

Here’s what the AI for you to explore:

  1. ChatGPT: Developed by OpenAI, ChatGPT is a state-of-the-art language model capable of engaging in human-like text conversations. We’ll guide you through its functions, potential applications, and how to integrate it into your projects or business.
  2. Midjourney: This AI tool is making waves in the world of data analysis. Learn how Midjourney can make sense of vast amounts of data and derive actionable insights, all without the need for a data science degree.
  3. Google Bard: A powerful content creation tool from the tech giant Google. We’ll show you how to use Google Bard to generate creative content, from blog posts to social media updates.
  4. Dall-E: This AI, also from OpenAI, can generate unique images from textual descriptions. Discover how Dall-E can help you in graphic design, content creation, and more.
  5. Adobe Firefly: Generate AI-based images, create beautiful text art, change the color of graphics – all within minutes.
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Sep 20, 2023
Coursera Artificial Intelligence Courses

Online Courses on Coursera

Coursera offers a variety of courses, specializations and professional certificate programs in the field of Artificial Intelligence. These have been created in partnership with the best data science schools and universities around the world and AI industry leaders like IBM and Google.

These AI courses and Certification programs cover skills like machine learning, deep learning, python programming, artificial neural networks, tensorflow, reinforcement learning etc. Several Beginner level courses are available for learners with no prior experience in this field while more advanced courses are also available for seasoned AI professionals.

Some of the most popular choices of AI courses on Coursera include:

  • AI For Everyone by Andrew Ng
  • Machine Learning AI Certification by Stanford University
  • IBM AI Engineering Professional Certificate
  • Deep Learning Specialization
  • AI Foundations for Everyone Specialization by IBM
  • IBM Applied AI Professional Certificate
  • IBM Data Science Professional Certificate
  • Python for Everybody by University of Michigan
  • Machine Learning Specialization by University of Washington
  • Mathematics for Machine Learning Specialization by Imperial College London
  • Reinforcement Learning Specialization by University of Alberta
  • Developing AI Applications on Azure
  • AI for Medicine
  • Applied AI with DeepLearning by IBM

For learners who wish to take several courses, Coursera Plus yearly subscription plan ($399/year) can be of great value. By subscribing to Coursera Plus, learners get unlimited access to more than 3000 courses, professional certificates, specializations and guided projects. They also earn a verified certificate for every course or program they complete at no additional cost. This is an excellent option for frequent online learners to continue their learning in a seamless, affordable way.

Key Highlights

  • Prepare for a career in AI by learning latest skills from top instructors
  • Well rounded and industry relevant content created by experts from top universities and companies
  • Option to audit the courses for free
  • Earn industry-recognized shareable certificates
  • Quizzes and hands-on projects to help learners apply the skills they acquire
  • Opportunity to be a part of the global community of learners

Duration : Self-Paced

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Sep 20, 2023
Learn with Google AI – Free AI Courses (Google)

Online Courses by Google AI

This is a free Google–led initiative to impart knowledge of AI skills and broaden the understanding of AI among general public. It is a collection of courses, guides, tutorials crafted by Google’s engineers and experts with the aim of providing foundational skills and knowledge in the field of artificial intelligence and topics related to it.

Irrespective of their current skill and experience level, learners can find resources, information and exercises to help develop skills and advance their projects. Beginner learners with no prior knowledge of AI and machine learning can jump in right at the start, while experienced learners can pick or choose resources and modules according to their interest and requirement.

There is a wide range of courses that help to build a board understanding of AI and many factors related to it – both technical and non-technical – when considering how AI could work for you. So apart from courses covering the fundamentals, and those that offer instructions on applying AI and ML to real-life social, environmental and humanitarian problems, one can also find good information on how to ensure that the AI implementations are transparent, ethical and people-centric.

Here’re a few courses, videos, tutorials and guides one can find on this platform:

  • Using AI for social good
  • Clustering
  • Recommendation Systems
  • Testing and Debugging in Machine Learning
  • Introduction to Machine Learning Problem Framing
  • Data Preparation and Feature Engineering in ML
  • Machine Learning Crash Course with TensorFlow APIs
  • Neural Network
  • The 7 steps of machine learning
  • End-to-end Machine Learning with TensorFlow on GCP

All the Google AI courses and tutorials contain sample codes, quizzes, and helpful examples which make the concepts easy to grasp for beginners as well.

Key Highlights

  • Free artificial intelligence courses online that give learners a running-start
  • Excellent resources available for those interested in upleveling their skill set
  • Understand the types of problems your organization can solve with ML and AI
  • Tips and Techniques for implementing the skills learnt to real world problems and data sets

Duration : Self-Paced

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Sep 20, 2023
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

Online Courses by DeepLearning.ai

TensorFlow is a popular open-source framework for machine learning and probably the best tool you can use to implement machine learning and deep learning algorithms and principles. This TensorFlow course offered on Coursera is a part of TensorFlow in Practice Specialization by deeplearning.ai.

This course is suitable for software developers who have some experience in Python coding and some knowledge of machine learning and deep learning and who want to build scalable AI-powered algorithms in TensorFlow. It teaches how to use TensorFlow to implement the principles of machine learning and deep learning so learners can start building and applying scalable models to real-world problems.

The course comprises of 4 weekly modules that take learners from basic to mastery of TensorFlow. They cover the following topics:

  • Introduction to what Machine Learning and Deep Learning are
  • Introduction to Computer Vision
  • Coding a Computer Vision Neural Network
  • Introduction to Convolutional Neural Networks and Pooling
  • Implementing convolutional layers and pooling layers
  • Understanding ImageGenerator
  • How to handle complex real-world images

There are abundant coding examples and programming assignments throughout the course. By the end of the course learners are able to gain practical skills to come up with scalable solutions to real-life AI challenges.

The course is taught by Lawrence Moroney, an AI advocate at Google. He has authored over 30 programming books and several science fiction novels.

Key Highlights

  • Learn to apply TensorFlow skills to a wide range of problems and projects
  • Learn the best practices for using TensorFlow
  • Build a basic neural network in TensorFlow
  • Understand how to use convolutions to improve your neural network
  • Train a neural network for a computer vision application

Duration : 4 weeks, 6-9 hours per week

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Sep 20, 2023
AI for Everyone by Andrew Ng (Coursera)

Online Courses by DeepLearning.ai

This Artificial Intelligence Course from Andrew Ng is largely non-technical and is intended for those who do not need to learn in-depth technicalities of AI but who wish to learn how to make better use of AI in their organizations or roll out AI initiatives or work with an AI team. It is also an excellent course for engineers, programmers and people with technical backgrounds to learn the business aspects of AI. It is very educative and detailed for starters who do not know anything about artificial intelligence.

This AI class starts with a comprehensive overview of what artificial intelligence is and finally goes on to discuss the entire workflow of AI projects and how to develop an AI strategy for your business. It covers the following topics:

  • Meaning behind common AI terminology, including machine learning, deep learning, neural networks and data science
  • A realistic view of AI and what it can and cannot do with examples
  • How to spot opportunities to apply AI to challenges and problems in your organization
  • Workflow of machine learning and data science projects
  • How to build AI in your company
  • Ethical and societal concerns and discussions surrounding AI

This is a 6 hour course that Andrew has developed with business applications in mind, which makes it very unique and one-of-its kind. Plus the fact that it is taught by Andrew himself, a pioneer and huge influencer in the field of artificial intelligence makes the course very popular. It is not restricted to engineers and scientists alone, anybody who sees value in AI and has interest in the subject should take this course.

Key Highlights

  • Highest rated Coursera Artificial Intelligence online course
  • Understand the meanings of various concepts in artificial intelligence and machine learning
  • Learn how to work better with an AI team in your organization
  • Learn how to chose an AI project
  • Get a glimpse into the technical tools used by AI teams
  • Case studies related to building an AI product and strategy
  • No prerequisites, can be taken by anyone at any level of experience

Duration : 4 weeks, 2 hours per week

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Sep 20, 2023
Artificial Intelligence Nanodegree Programs (Udacity)

Udacity Online Courses

Udacity is offering multiple Nanodegree programs in its School of Artificial Intelligence. Nanodegrees are very extensive programs comprising of a larger course of study, usually presented in partnership with leading companies or universities. For those who want to make a career in AI, there are some excellent, powerful, career-centered programs that can be very helpful to advance in the field of AI by spending as little as 8-10 hours per week. There are choices for every level of knowledge and experience from complete beginner focussed programs to those intended for more advanced learners.

Some of the best Udacity AI training programs include:

  • AI Product Manager – Covers AI products, creating high quality datasets, training ML models, measuring post-deployment impact and updating models and scaling your AI products.
  • Intro to Machine Learning with TensorFlow – Covers foundational machine learning algorithms, supervised models, deep and unsupervised learning, neural network design and training in TensorFlow.
  • AI Programming with Python – Covers the essential foundations of AI: the programming tools (Python, NumPy, PyTorch, Anaconda, pandas, and Matplotlib), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).
  • Artificial Intelligence for Trading – Covers basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. Also teaches how to develop trading strategies, and construct a multi-factor model with optimization.
  • Computer Vision – Covers computer vision and deep learning techniques—from basic image processing, to building and customizing Convolutional Neural Networks, Recurrent Neural Networks (RNN), Simultaneous Localization and Mapping (SLAM), Object Tracking, Image Classification
  • Natural Language Processing – Covers Machine Learning, Speech Recognition, Sentiment Analysis, Machine Translation, Part of Speech Tagging
  • Deep Reinforcement Learning – Covers Reinforcement Learning, Neural Networks, PyTorch, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG)
  • Artificial Intelligence – Covers AI Algorithms, Search Algorithms, Optimization, Planning, Pattern Recognition
  • Machine Learning Engineer – Covers Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning
  • Deep Learning – Covers Deep Learning, Neural Networks, Jupyter Notebooks, CNNs, GANs
  • AI for Business Leaders – Covers Artificial Intelligence, Machine Learning, Business Strategy, Data Labeling, Data Modeling

The Nanodegree programs in Udacity’s School of AI are organized around following four main roles or career paths:

  1. Machine Learning Engineer – Udacity recommends completing following Nanodegree programs in the specified order to start a career in Machine Learning – Intro to Machine Learning with TensorFlow, Intro to Machine Learning with PyTorch, AI Programming with Python, Machine Learning Engineer.
  2. Deep Learning Engineer – For working as deep learning engineer, following Nanodegree programs are suggested – AI Programming with Python, Machine Learning Engineer, Deep Learning.
  3. Artificial Intelligence Specialist – The recommended programs in this career path are – Computer Vision, Natural Language Processing, Deep Reinforcement Learning and Artificial Intelligence
  4. Quantitative Analyst – This career path involves building programming and linear algebra skills, then learning to analyze real data and building financial models for trading. The recommended programs are – AI Programming with Python and Artificial Intelligence for Trading.

Key Highlights

  • Curriculum designed and delivered by industry experts
  • Get practical experience by applying your skills to code exercises and projects
  • Get 1-on-1 technical mentor support
  • Personal career coach also available for career path guidance
  • Complete flexibility with timelines and schedule

Duration : Self-Paced

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