As AI transforms industries, it creates an imperative for freelancers to stay ahead of the curve by building knowledge to serve clients better. Whether an artist leveraging generative image creation or a writer summarizing client reports faster through natural language processing, these free courses from AI leaders Google and Bing offer accessible upskilling. Learn fundamentals to boost productivity or gain certifications around innovative applications like speech and image recognition exhibiting cutting-edge capabilities to clients.
The following AI courses provide easily digestible overviews into both foundational concepts around how these technologies work as well as practical guidance on leveraging them across applications like content creation, task automation, data analysis and more.
Free AI Courses From Google
Generative AI refers to AI systems that can create new content like images, text, or code rather than just classify data. This introductory 22-minute video micro course explains fundamentals like what generative AI is, how it works via machine learning algorithms that detect patterns to generate original output, how it differs from traditional AI, applications, and provides a document and quiz to help you earn a badge showcasing your new generative AI skills.
https://www.cloudskillsboost.google/course_templates/536
I found this an interesting intro and overview into supervised and unsupervised learning aspects of machine language, and the insights of deep learning. Also good to know the difference between generative and discrimintative AI
Dave Ashworth
Introduction to Large Language Models
Large language models like GPT-3 are AI systems trained on vast datasets, allowing them to generate human-like text. This 15-minute introductory micro course explains what they are, what they can be used for (content generation, translation), how prompt tuning improves their performance, and provides a reading and quiz to help you earn a badge showcasing your skills in leveraging these powerful AI tools.
https://www.cloudskillsboost.google/course_templates/539
Introduction to Responsible AI
Responsible AI refers to developing and using AI in a way that fosters accountability, transparency, privacy, security, inclusiveness and other ethical considerations. This 15-minute introductory micro course explains fundamentals of responsible AI like what it is, why it matters, how Google implements it via extensive testing and 7 key principles, and provides a reading and quiz to help you earn a badge showcasing your understanding of this crucial aspect of AI.
https://www.cloudskillsboost.google/course_templates/539
Generative AI Fundamentals
This course allows you to earn a Generative AI skill badge by completing three introductory micro courses on generative AI, large language models and responsible AI, then passing a final quiz demonstrating your grasp of key concepts like how these systems work, use cases, and ethical implementation.
https://www.cloudskillsboost.google/course_templates/556
Introduction to Image Generation
Diffusion models are revolutionizing AI image generation through a process of adding noise to images then gradually reversing that to create detailed synthetic images. This technique powered the incredible Dall-E 2 image bot. This 9-minute introductory video course explains how diffusion models work, how to train them using machine learning principles and Google’s Vertex AI, and features a quiz to help earn an Image Generation skill badge to certify your new expertise.
https://www.cloudskillsboost.google/course_templates/541
Encoder-Decoder Architecture
Encoder-decoder models allow AI to interpret and transform input sequences to output sequences, powering applications like translation, text summarization and question answering. This course provides an overview of how these dual models work, then shows how to code one with TensorFlow to generate poetry. It finishes with a lab walkthrough and quiz to help certify your ability to build and deploy these sequence-to-sequence AI systems.
https://cloudskillsboost.google/course_templates/543
Attention Mechanism
Attention allows neural networks to mimic human perception by focusing on parts of data inputs, dramatically improving performance on sequence tasks like translation and text summarization. This 45-minute course explains how attention works by distributing context-aware weights then recombining elements. Finish with a quiz to certify your skills with this breakthrough technique accelerating natural language processing.
https://www.cloudskillsboost.google/course_templates/537
Transformer Models and BERT Model
Transformers revolutionized natural language processing through self-attention and parallelization, overcoming limitations of recurrent networks. This course explains how they work, then focuses on BERT (Bidirectional Encoder Representations from Transformers) – a popular transfer learning framework that creates contextual embeddings leveraged for text classification, QA, search etc. Finish with a coding lab and quiz to certify your skills applying these advanced NLP techniques.
https://www.cloudskillsboost.google/course_templates/538
Create Image Captioning Models
Image captioning allows AI to contextually describe image contents, with uses like assisting the visually impaired. This course explains how encoder-decoder models can be trained to generate captions via CNN image encoding and RNN text decoding. It provides an overview, then a hands-on lab for building and evaluating an image captioning model using TensorFlow and TensorFlow Hub. Finish with a quiz to certify your skills creating this innovative AI application.
https://www.cloudskillsboost.google/course_templates/542
Introduction to Generative AI Studio
Generative AI Studio allows anyone to leverage state-of-the-art models like DALL-E for image creation, Parti for music generation, and Phenaki for text summarization. This course introduces its capabilities to customize and wield these next-gen AI systems without coding through Vertex AI. Walkthrough demos guide users on application and then quiz knowledge, earning an Generative AI Studio certification badge to exhibit cutting-edge skills.
https://www.cloudskillsboost.google/course_templates/552
Free AI Courses From Bing
Introduction to Artificial Intelligence
This course provides non-technical professionals like product managers a high-level yet accessible overview of fundamental AI concepts. Learn what intelligence means in machines, distinctions between symbolic systems and machine learning approaches, natural language processing challenges, types of machine learning algorithms, conditions appropriate for AI, and differences between AI and ML that guide business decisions.
What Is Generative AI?
This course by generative AI expert Pinar Seyhan Demirdag provides non-technical professionals an introduction to key concepts about this rapidly emerging technology revolutionizing creative fields. Learn fundamentals like definitions, how models generate content, hands-on guidance to create your own media assets, different model types, forward-looking forecasts and crucial ethical considerations around the responsible development and application of systems like DALL-E 2.
Streamlining Your Work with Copilot
This course demonstrates how Microsoft’s AI assistant ChatGPT can transform workflows. Instructor Jess Stratton guides how to leverage its natural language capabilities for robust research, ideation, text generation, task and meeting automation, itinerary planning, scheduling, fast fact-checking plus more. Follow along to discover countless ways this tool can save time and supercharge productivity with the power of conversational AI.
Generative AI: The Evolution of Thoughtful Online Search
This course examines the seismic shift from traditional search to reasoning-based assistance from AI like ChatGPT that can contextualize queries. Learn best practices for prompt engineering to account for nuances of language and qualify needs. Interviews provide insights on leveraging these advances in generative AI to find better quality information faster through thoughtful online search strategies.
Ethics in the Age of Generative AI
As generative AI advances bring boundless potential, so too have ethical risks emerged around issues like bias, misinformation and intellectual property. Expert Vilas Dhar provides urgently needed guidance for decision makers on pragmatic frameworks to analyze and address these concerns across stakeholders, from writing ethical codes of conduct to governance structures overseeing accountable development and deployment.