Latest news with #VertexAI
The Hindu
4 days ago
- The Hindu
Google launches Gemini CLI, a free open-source AI agentic tool for developers
Google has launched a new agentic AI tool called Gemini CLI to bring Gemini AI's capabilities directly to developer terminals. Once plugged into the Gemini AI models, developers can make requests for debugging, code generation and running commands in natural language easily. 'It provides lightweight access to Gemini, giving you the most direct path from your prompt to our model. While it excels at coding, we built Gemini CLI to do so much more. It's a versatile, local utility you can use for a wide range of tasks, from content generation and problem solving to deep research and task management,' a blog posted by Google noted. Gemini CLI uses the Gemini 2.5 Pro for reasoning and coding but users can also plug into other AI models like Imagen and Veo for generating images and videos. The tool is also integrated with Gemini Code Assist and supports Model Context Protocol (MCP). Gemini CLI is available for free on Windows, Mac and Linux. Developers just have to sign up for a free Gemini Code Assist license which gives them 60 model requests per minute and 1,000 per day. If users want to work with multiple agents at the same time or have custom AI models, they can access Gemini CLI via Vertex AI or AI Studio and will be charged based on their usage.
Cision Canada
5 days ago
- Business
- Cision Canada
NayaOne Forges Dynamic Collaboration with Google Cloud to Transform Enterprise AI Adoption
LONDON, June 25, 2025 /CNW/ -- NayaOne is excited to announce a collaboration with Google Cloud, designed to revolutionize the way enterprises adopt and integrate artificial intelligence. This collaboration will utilise Google Cloud's cutting-edge technology platform with NayaOne's agile, enterprise-grade Vendor Delivery Platform to deliver rapid, scalable, and secure digital transformation. Driving Enterprise Innovation Through Collaboration In today's competitive market, businesses must innovate to stay ahead. With this collaboration NayaOne are committed to breaking down the barriers of AI adoption by offering: Instant Impact: Streamlined integration that accelerates the deployment of AI solutions directly into existing workflows. Future-Proof Scalability: Flexible, scalable technology designed to evolve with your business needs, ensuring long-term competitiveness in a rapidly changing digital landscape. Robust Security: Comprehensive security protocols that safeguard sensitive enterprise data, enabling innovation without compromising safety. Expert Guidance: Dedicated, industry-leading support to ensure seamless implementation and optimized performance, driving measurable ROI. Empowering Enterprises to Innovate Without Limits "NayaOne and Google Cloud share a vision of empowering every enterprise with advanced, accessible AI," said Karan Jain, CEO of NayaOne. "Our collaboration removes the complexity traditionally associated with AI adoption, delivering a clear, straightforward path for businesses to innovate, grow, and thrive in the digital era." The collaboration not only provides businesses with top-tier technology but also delivers a complete ecosystem designed to enhance operational efficiency and unlock new avenues for growth. Enterprises can now leverage AI to streamline operations, enhance decision-making, and maintain a competitive edge - all while enjoying the trusted support of two industry powerhouses. A Vision for the Future This collaboration represents a significant milestone for NayaOne and Google. By combining NayaOne's expertise in delivering enterprise AI adoption with Google Cloud's technological prowess, the collaboration is set to transform how organizations view and implement digital innovation. The collaborative effort underscores NayaOne's commitment to creating a future where AI is a standard, accessible tool for every enterprise. Daniel Rood, Director AI GTM, UKI & Africa, said: "Google Cloud is delighted to collaborate with NayaOne to offer mutual clients rapid and secure access to Vertex AI, Gemini models, and Agentspace. NayaOne's approach to enterprise AI adoption, underpinned by Google Cloud AI, empowers enterprises to expedite product and feature launches into production and significantly reduce their time to value." About NayaOne NayaOne is a leading Vendor Delivery Infrastructure that helps enterprises discover, validate, and scale third-party capabilities safely, repeatedly, and at speed. Leveraging The Enterprise Gateway Marketplace, Synthethic data libraries and state of the art air –gapped secure environments NayaOne accelerates delivery roadmaps. The platform supports rapid innovation delivery without compromising compliance or control. Visit for more information or contact [email protected].
Hans India
5 days ago
- Hans India
Google offers 7 free AI courses to learn LLMs, transformers, and more in under an hour
Google is now offering 7 free micro-courses in AI and machine learning, designed for professionals and students to upskill in under an hour. From mastering large language models (LLMs) to understanding the inner workings of image generation, these short courses come with shareable badges and focus on real-world applications. With AI disrupting industries worldwide, staying ahead with skills in generative AI and deep learning has never been more important. Google's microlearning series, made up of video tutorials and quizzes, covers essential topics using tools like TensorFlow and Vertex AI. Best of all, most of the content is completely free to access. Here's a quick look at the seven courses: Introduction to Large Language Models (LLMs) Learn the basics of LLMs like ChatGPT—how they work, where they're used, and how to tune prompts for better performance. Ideal for Gen AI app developers. Introduction to Image Generation Discover how diffusion models power AI image generators. Train and deploy these models using Vertex AI, and earn a badge upon completion. Encoder-Decoder Architecture In just 30 minutes, understand how this architecture is used in translation, summarization, and Q&A systems—complete with hands-on TensorFlow exercises. Introduction to Generative AI Learn how generative AI differs from traditional ML. This 45-minute course includes tools to help you start building Gen AI applications right away. Attention Mechanism Master the concept of attention in deep learning—essential for tasks like summarization and machine translation. Duration: 45 minutes. Transformer Models and BERT Understand the transformer model and BERT, and how they're used for natural language tasks. Complete the 45-minute course to earn a skills badge. Create Image Captioning Models A quick course that teaches how to build models that generate captions for images using deep learning components like encoders and decoders. Important Note: While most courses are free, labs may require separate credits or subscriptions. Badges are issued only upon full course completion.
Indian Express
6 days ago
- Business
- Indian Express
Google is offering free AI courses: 7 micro-learning courses under an hour
Artificial Intelligence (AI) is rapidly taking over industries. The fear of job displacements is palpable; however, as companies around the world are scrambling to automate various processes, professionals too can have an edge by staying updated. The tech industry is currently in a transition with companies of all sizes across the world deploying AI technologies. And the only way to stay relevant in such volatile times is to upskill oneself. Even though many jobs are being taken over by AI technologies, nothing is lost; there are still numerous new roles that are being created. If you are planning to upskill yourself, then there is no place better than the Internet. There are thousands of free courses that can equip you with the necessary skills that can make a mark on your resume. Here is a compilation of some of the free AI courses offered by Google. An LLM is an AI system that has been trained on vast amounts of datasets to come up with human-like text responses. ChatGPT is an example of an LLM. While many are aware of what all ChatGPT can do, not many may have the know-how of the inner workings of an LLM. This is an introductory course that gives insights into what LLMs are, their use cases, and how one can use prompt tuning to improve LLM performance. The course covers Google tools that can help you develop your own Gen AI apps. If you are simply looking to get the basics and build some Gen AI apps, this is the course for you. Ever wondered how an AI model generates an image? Well, if you need to satiate your curiosity, this short course will introduce you to diffusion models, which are a family of machine learning models that have been powering the AI image generation models. The course introduces you to the theory side of diffusion models and how to train them and deploy them on Vertex AI, Google's unified platform to build ML and AI models. The course also offers a shareable badge upon completion which can enhance your professional profile eventually leading to enhanced career opportunities. This is a 30-minute course that offers a synopsis of the encoder-decoder architecture, a machine learning architecture for sequence-to-sequence tasks. These tasks are mainly machine translation, text summarisation, and question answering. Students will get a chance to understand the main components of this architecture and know how to train and serve these models. Besides, they will also get to code in TensorFlow, Google's open-source software library for ML and deep learning applications. Upon completion, learners will get a shareable badge to prove the user's proficiency. If you are new to generative AI, this can be a great introduction. This is a microlearning course that explains what generative AI is, how it is used, and what distinguishes it from traditional ML models. The course covers several Google Tools to help one to develop their own Gen AI apps. The course that spans around 45 minutes offers shareable badges after completion. The badge can be viewed on a user's profile and can be even shared with their social network. Attention mechanism is a technique in deep learning that allows AI models to focus on specific or most relevant parts of their inputs while processing information, instead of treating all parts equally. This 45-minute course offers insights into this powerful technique that allows neural networks to focus on relevant parts of an input sequence. Students will get to know how attention works, and how it can be used to improve the performance of a variety of machine learning tasks including text summarisation, machine translation, question answering, etc. The course also offers shareable badges. This course offers an introduction to Bidirectional Encoder Representations from Transformer (BERT) model and transformer architecture. Learners will get to know how the self-attention mechanism works and how it powers BERT models. The course also teaches how BERT can be used for tasks such as question answering, text classification, and natural language interface. The course will likely take about 45 minutes to complete, and it also comes with a shareable skills badge. This 30-minute-long course will teach learners how to create an image captioning model by using deep learning. The course covers different components of an image captioning model, such as encoder and decoder, and even how to train and evaluate a model. Google claims that by the end of this course, a user will be able to create their own image captioning models and use them to generate captions for images. This course comes with a shareable badge. These micro-learning courses offered by Google are a combination of video tutorials and quizzes that aim to educate the learners on some of the most crucial aspects of AI. It needs to be noted that when enrolling, most of these courses allow users to consume study materials like videos and documents for free. However, if any of the courses consist of labs, learners are advised to purchase individual subscriptions or credits to make the most of the labs. To get the badge, learners would have to complete all required activities in a course. Bijin Jose, an Assistant Editor at Indian Express Online in New Delhi, is a technology journalist with a portfolio spanning various prestigious publications. Starting as a citizen journalist with The Times of India in 2013, he transitioned through roles at India Today Digital and The Economic Times, before finding his niche at The Indian Express. With a BA in English from Maharaja Sayajirao University, Vadodara, and an MA in English Literature, Bijin's expertise extends from crime reporting to cultural features. With a keen interest in closely covering developments in artificial intelligence, Bijin provides nuanced perspectives on its implications for society and beyond. ... Read More
Business Upturn
18-06-2025
- Business
- Business Upturn
Nokia launches Autonomous Network Fabric to help customers accelerate network automation
Press release Nokia launches Autonomous Network Fabric to help customers accelerate network automation Nokia Autonomous Network Fabric brings together all the capabilities required to accelerate the journey to full network automation in an open, cloud-native, multi-vendor environment. Key features include a library of cross-domain correlated data products, telco-trained models (LLM/LAM/ML), integrated security, and AI apps for automation workflows. Nokia announces an expanded collaboration with Google Cloud that will make Nokia's Autonomous Network Fabric available to deploy anywhere customers need it, on Google Cloud, on premises, and in hybrid cloud environments. 18 June 2025 Espoo, Finland – Nokia today announced its Autonomous Networks Fabric , the industry's first suite of telco-trained AI models, integrated security, and AI apps to accelerate network automation and enable operators to easily roll out new services. Autonomous Network Fabric is a unifying intelligence layer that weaves together observability, analytics, security, and automation across every network domain; allowing a network to behave as one adaptive system, regardless of vendor, architecture, or deployment model. Additionally, Nokia is announcing an expanded collaboration with Google Cloud to enable customers to deploy Nokia's Autonomous Network Fabric as a SaaS application running on Google Cloud, on-premises with Google Distributed Cloud, and in hybrid cloud environments. Over the past few years, operators have started to move toward fully autonomous networks. However, they are held back by legacy systems, siloed processes, and fragmented data. With Nokia's Autonomous Network Fabric, operators now have a fully integrated suite that features unified data management, 360-degree observability, and explainable AI. Nokia's Autonomous Network Fabric enables automation at scale, reducing the complexity of automation while allowing operators to improve reliability and operational cost savings by quickly testing new ideas and integrating those that deliver desired benefits. 'As networks become more autonomous, they will require different forms of AI—from classical algorithms to language-based systems and intelligent agents—to each contribute distinct capabilities for operators. Nokia's new tools can help operators to manage their infrastructure, services, and cyber risks by applying AI that is trained on industry-specific data and enriched with real-time situational awareness,' said Andy Hicks, Senior Principal Analyst, GlobalData. Nokia's Autonomous Networks Fabric will leverage Google Cloud's generative AI, including Google Cloud's Vertex AI and BigQuery, to deliver agentic-driven workflows for network operations. This includes real-time monitoring and visibility into network traffic patterns, improving subscriber experience, anomaly detection, zero-touch remediation of performance issues, and support for elastic scale-out and disaster recovery to the cloud. Nokia and Google Cloud are making it easier for telecom companies to run Nokia's 5G core network on Google's cloud infrastructure. They are also joining forces with a major European operator to build a smarter, more automated network. By combining Nokia's telecom data and automation capabilities with Google's AI tools, they aim to create an environment where developers can innovate and rapidly scale network automation. 'In an era of increasingly complex and vulnerable networks, customers are eager for fully autonomous networks, which depend on good data. There is no good AI without good data. Nokia's Autonomous Network Fabric lays the foundation and applies our deep network expertise and agentic AI-optimized workflows together with Google Cloud to accelerate customer outcomes,' said Kal De, SVP Product and Engineering, Cloud and Network Services, Nokia. 'This is another step in our deep partnership with Nokia to strengthen network reliability, proactively detect and resolve network issues, and turn data into value for predictable and high-performing networks. Nokia's Autonomous Network Fabric taps Nokia's deep telecom domain knowledge combined with Google Cloud's AI tools to provide operators with a comprehensive approach for accelerating network automation,' said Muninder Singh Sambi, Vice President and General Manager, Networking and Security, Google Cloud. With Nokia's Autonomous Network Fabric, customer will benefit from the following capabilities: Unified Data Management: All relevant network data is collected, curated, correlated, and published as data products leveraging a data mesh architecture. Data is virtually federated with the ability to design and construct new data products rapidly in a low-code/no-code environment. Operators can use logic or AI/ML to create cutting-edge data assets that can be used and reused to power automation. 360-degree Observability: The Autonomous Network Fabric federates the use and distribution of data and AI across the organization, monitoring chain of custody from end to end. This ensures quality and consistency in automation. Explainable AI: Powerful telco-trained LLMs support all automation through a rich knowledge engine that gives a clear reasoning for how data is interpreted, how issues are analyzed, and why certain actions are recommended. Visit Nokia at Booth 306 at Digital Transformation World to find out more about the future of autonomous networks and see a live demo of Nokia AN Fabric in action. Multimedia, technical information and related news Product Page: Nokia Autonomous Networks Product Page: Nokia Data Suite About Nokia At Nokia, we create technology that helps the world act together. As a B2B technology innovation leader, we are pioneering networks that sense, think and act by leveraging our work across mobile, fixed and cloud networks. In addition, we create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs, which is celebrating 100 years of innovation. With truly open architectures that seamlessly integrate into any ecosystem, our high-performance networks create new opportunities for monetization and scale. Service providers, enterprises and partners worldwide trust Nokia to deliver secure, reliable, and sustainable networks today – and work with us to create the digital services and applications of the future. Media inquiries Nokia Press Office Email: [email protected]
