Democratizing AI Literacy: Google's Launch of Ten Generative AI Courses and Its Impact on the Future of Work

June 7, 2023

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MarketsandMarkets welcomes Google's Bold Step in providing resources for Upskilling in a AI-Led Future[1]

Our editors share their take.

Google Launches Generative AI Learning Path

In a significant development, Google, is launching an ambitious generative AI learning path composed of ten distinctive courses. This initiative aims to enable the masses to gain a thorough understanding of AI and machine learning, particularly given the impending impact of AI automation on job markets. These courses are designed to bridge the knowledge gap, crucially important for future job roles, such as Data Scientist, projected to rise by 36% by 2031, according to the US Bureau of Labor Statistics. The median annual wage for data scientists was $100,910 in May 2021 and 13,500 roles will be created annually until the forecast. [2]

In essence, the goal is to democratize AI education, allowing not just specialists but the average person to grasp AI and machine learning concepts. These courses are poised to provide a strong foundational understanding of Generative AI and Google Cloud's unique approach to this ground-breaking technology. The initiative underscores Google's long-term strategy, focusing on the far-reaching implications of AI on the job market, societal norms, and investment dynamics.


One of the key highlights of Google's new AI courses is the focus on Large Language Models (LLMs). Renowned models such as BERT, GPT-3, and LaMDA are featured, explaining their applications in generating text, translating languages, and responding to queries. This equips learners with the knowledge to understand and potentially apply these sophisticated models in a variety of real-world contexts.

The course pathway extends beyond text-based AI to include modules on image generation and audio generation. By introducing models like Imagen, Parti, WaveNet, and Tacotron, Google is equipping learners with a robust understanding of how AI can produce realistic images and audio from textual descriptions, thereby pushing the frontiers of AI applications.

The Breadth and Depth of the AI Learning Path

Simultaneously, it's essential to note that the education sector will face disruption due to the proliferation of AI and LLMs and will open up new frontiers that can add value to employees, professionals and business owners alike. As AI-powered solutions are integrated into education systems, they might create a divide between the pace of technology adoption and the slower, bureaucratic nature of education systems. To this end, LLMs like ChatGPT are already being used by students, implying a need for schools and colleges to adapt quickly and prudently.


The U.S. Department of Education's recent report underscores the need for careful AI integration into education, as it carries both benefits and potential drawbacks. The benefits of AI in education are manifold, from assisting with language barriers in classrooms to offering personalized learning experiences. However, the cautious application of AI is warranted to prevent issues like algorithmic discrimination.

From early childhood to middle school education, AI can play a significant role in augmenting teaching methods. AI-driven educational toys, language learning tools, and adaptive learning systems can enhance early childhood learning. For elementary and middle school students, AI can provide interactive platforms to teach core subjects and facilitate collaborative learning experiences.

Realizing the Potential: Upskilling in Action and Implications for the Future of Work


Given this comprehensive overview, it's clear that Google's new AI courses are an excellent resource for companies looking to upskill their workforce. A CEO of a large company with employees spread across various industries and continents would find these courses instrumental in bolstering the AI literacy of their teams. Whether it's finance, tech platforms, software development, marketing, or HR, all these sectors stand to gain tremendously from a deeper understanding of AI. Hence, it's crucial for such CEOs to maximize the potential of learning and applying this knowledge to their operations.

In conclusion, Google's initiative is a bold step towards a future where AI is not just a specialist's domain but a common thread that ties multiple sectors together. By taking advantage of these courses, CEOs can drive a culture of continuous learning, stay ahead of technological trends, and gear their organizations for the future of work. As generative AI reshapes industries, it's crucial for leaders to not only grasp these changes but also translate them into actionable strategies. This new learning path from Google provides the perfect foundation to kickstart this journey.

How you can benefit from Google's Generative AI courses?

In a strategic move to advance knowledge in the burgeoning field of Generative AI, Google is offering seven new, no-cost training courses for individuals at various stages of their career paths. Whether you're a beginner or an experienced professional, these courses can help you expand your understanding of AI/ML and its applications.

A look at AI and ML is required to be taken, before discussing import of Generative AI courses.

AI is a broad concept involving machines mimicking human intelligence tasks, while ML is a subset of AI that utilizes past data to create predictive models without explicit programming. Generative AI is the latest advancement in ML, attracting significant interest from executives and industry leaders.

Generative AI is a powerful tool, making headlines due to its ability to generate new content, such as text, images, audio, and synthetic data. It operates within the domain of deep learning, a more complex subset of ML, often employing the Transformer architecture to discern long-range patterns in large training sets.

Google, a major player in the field of AI, has recently implemented various solutions to bring Generative AI into its offerings, including the introduction of Generative AI support on Vertex AI and Gen App Builder. Vertex AI is a platform that allows data science teams and developers to build, customize, and deploy ML models and AI applications. The Gen App Builder is designed to help developers - even those with limited data science expertise - to quickly create applications such as bots, chat apps, digital assistants, custom search engines, and more.


In addition to the product offerings, Google is sharing seven generative AI training courses at no cost, helping individuals to build their skills in AI/ML. These courses cover a wide range of topics from an introduction to Generative AI, large language models, attention mechanisms, to Transformer models and BERT models, image generation, and more.

These developments signal an exciting time in the field of AI/ML, offering an opportunity to upskill and reskill their workforce, helping to stay competitive in the market. The emergence of Generative AI and its increasing accessibility imply significant potential for tech innovation and advancement. As these technologies become more prevalent, having a workforce well-versed in their operation and potential applications could prove invaluable.

What is Project Tailwind and Duet AI by Google?

Tailwind is your AI-first notebook, grounded in the information you choose and trust.[3]

Google's Duet AI is set to disrupt the tech industry by infusing generative AI experiences into various products, impacting both developers and end-users alike. This initiative can potentially reshape the technology landscape, influence industry trends, and provide strategic advantages to developers, enterprises, and consumers.

For developers and operators, Google's Duet AI offerings include Code Assistance, Cloud Workstations, Cloud Console, and Cloud Shell. Code Assistance competes with the likes of GitHub Copilot, Amazon Code Whisperer, and Tabnine by automatically generating code based on comments and other instructions. This will likely result in more efficient and less error-prone coding experiences, driving faster development cycles and product rollouts. [4]

Cloud Workstations offer pre-configured development environments, which, when combined with Duet AI's code generation and completion capabilities, could streamline the development process and boost productivity. This may lead to increased innovation and reduced time to market, which are essential factors for businesses in competitive industries.

For end-users, Duet AI's integration with Google Workspace aims to improve productivity and creativity. The use of AI chatbots to assist with generating, transcribing, and summarizing content may enhance efficiency, leading to time savings and increased output.

Incorporating Duet AI into AppSheet, Google’s low-code/no-code platform, opens the door to creating intelligent business applications and workflows via natural language, lowering the entry barrier to app development. This democratization of application creation could spur a wave of innovation, particularly from smaller businesses and startups.

The planned overhaul of Google Search with generative AI, called Search Generative Experience (SGE), aims to make search more contextual and efficient by analyzing the semantic meaning of the query. This could revolutionize how users interact with the internet, leading to a more intuitive and personalized user experience.


These developments are transformative.

They will likely increase productivity and efficiency for developers and end-users alike, lead to new methods of online interaction, and potentially reshape the internet experience.

For large-scale infrastructure providers and tech giants, staying abreast of these developments and adopting or adapting similar technologies could be crucial to maintaining a competitive edge. Industries likely to be significantly impacted include IT and software development, e-commerce, content creation, and digital marketing, among others. As these technologies become mainstream, businesses that fail to adopt them risk falling behind. Hence, it's a strategic imperative for companies to invest in AI and ML capabilities to future-proof their operations and stay competitive.

How will Google's AI push impact top industries?

These plans by Google to infuse their products with Duet AI indicate a shift towards more intelligent, automated, and user-friendly services. This will have a profound impact on several key industries.

Software Development: With AI-driven code assistance and cloud-based development environments, developers can be more productive, delivering faster and more efficient code. The automated security checks will also minimize vulnerabilities, enhancing overall software quality.

Cloud Services: The integration of AI in cloud operations will simplify cloud management, reduce human error, and enhance operational efficiency. It will make cloud services more accessible to a broader range of users, potentially boosting the adoption rate.

Productivity Tools: The use of AI in Google Workspace products will revolutionize the way users interact with these tools, boosting productivity and creativity. The integration with AppSheet will also open up the opportunity for users with limited coding skills to create intelligent business applications.

Retail and E-commerce: The integration of generative AI with Google Search and Shopping Graph will provide a more immersive and efficient shopping experience, potentially driving more traffic and sales for online retailers.

Enterprise IT: By enhancing security, automation, and efficiency in software development and cloud operations, Google's plans could significantly reduce IT costs and complexity for enterprises. This will allow IT departments to focus more on strategic initiatives.

Overall, this move towards AI-infused services by Google signals a major shift in the tech landscape and will likely influence other tech giants to follow suit. Companies in the mentioned industries should prepare for these changes to stay competitive and leverage the benefits offered by these AI-enhanced services.



  1. New No-Cost Generative AI Training Courses
  2. Data Scientists
  3. AI-First Notebook
  4. Google’s Generative AI Stack: An In-Depth Analysis

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