Cambridge

Compass House, Cambridge, united kingdom, CB24 9AD

Vision Park is within easy reach of Cambridge city centre and has the advantage of excellent links with the M11 and A14. Trains from London Kings Cross arrive every 30 minutes, with a 15 minute journey by taxi to the Park. Histon Railway Station is on the boundary of Vision Park, which provides high quality, frequent local transport from St Ives to Cambridge. Guided Bus Vision Park lies alongside the Cambridgeshire Guided Bus which offers fast and frequent buses from Histon to Huntingdon (50 minutes), St Ives (15) and Cambridge city centre (15). Onboard, there is air conditioning, free WiFi and power for your laptop and mobile devices. Please see www.thebusway.info for further information.

Subcategories (7)

Image for the Google AI Studio

Google AI Studio
Image for the Midjourney

Midjourney
Image for the NotebookLM

NotebookLM
Image for the Leonardo AI

Leonardo AI
Image for the Prompt Engineering

Prompt Engineering
Image for the Perplexity AI

Perplexity AI
Image for the InVideo AI

InVideo AI

Explore Our Courses

Generative AI for Tourism

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level tourism professionals who wish to leverage Generative AI to improve customer engagement, streamline content creation, and enhance the overall travel experience. By the end of this training, participants will be able to:
  • Understand the role of Generative AI in tourism and hospitality.
  • Utilize AI tools to generate personalized travel recommendations.
  • Automate customer interactions with AI-driven chatbots.
  • Enhance marketing strategies with AI-generated content.
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Generative & Predictive AI for Developers

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models. By the end of this training, participants will be able to:
  • Understand the fundamentals of predictive AI and generative models.
  • Utilize AI-powered tools for predictive coding, forecasting, and automation.
  • Implement LLMs (Large Language Models) and transformers for text and code generation.
  • Apply time-series forecasting and AI-based recommendations.
  • Develop and fine-tune AI models for real-world applications.
  • Evaluate ethical considerations and best practices in AI deployment.
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Generative AI and Large Language Models (LLMs)

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level AI professionals, business analysts, and technology leaders who wish to understand the principles of generative AI and the applications of LLMs in business settings. Participants will learn about transformers, prompt engineering, and ethical considerations in deploying these models for real-world solutions. By the end of this training, participants will be able to:
  • Understand the underlying principles of generative AI and large language models.
  • Implement and fine-tune LLMs for specific business applications.
  • Apply prompt engineering techniques for optimal model outputs.
  • Recognize ethical considerations and manage risks in LLM deployment.
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Generative AI in Manufacturing: Optimizing Production and Quality Control

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level manufacturing engineers, process improvement specialists, and AI developers who wish to apply Generative AI to improve manufacturing processes and outcomes. By the end of this course, participants will be able to:
  • Understand the fundamentals of Generative AI and its applications in manufacturing.
  • Apply Generative AI for design optimization and predictive maintenance.
  • Analyze and interpret AI-generated data to make informed decisions.
  • Implement AI solutions to improve production efficiency and product quality.
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Generative AI with Azure OpenAI

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level to intermediate-level AI developers and enthusiasts who wish to unlock the potential of generative AI using Azure OpenAI. By the end of this training, participants will be able to:
  • Grasp the essentials of AI, Generative AI, and the OpenAI API.
  • Set up and navigate the Azure OpenAI account and studio.
  • Deploy and manage Azure OpenAI services effectively.
  • Integrate generative AI models into various applications.
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Generative AI with Azure OpenAI for Java Developers

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to harness the power of Azure OpenAI to create intelligent applications. By the end of this training, participants will be able to:
  • Understand the principles of Generative AI and its applications.
  • Set up and manage an Azure OpenAI service.
  • Integrate OpenAI's models into Java applications.
  • Deploy AI-powered features within web applications.
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Generative AI: Automate Content Creation

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level content creators, marketing professionals, and business strategists who wish to master generative AI tools for automating content creation across various mediums. By the end of this training, participants will be able to:
  • Understand the fundamentals of generative AI and its applications in content creation.
  • Utilize generative AI tools to automate text, image, audio, and video generation.
  • Apply prompt engineering techniques for optimal content generation results.
  • Stay updated with the latest trends and advancements in generative AI.
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Generative AI in Gaming: Creating Immersive Experiences

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level game developers, designers, and AI enthusiasts who wish to leverage generative AI to develop innovative gaming environments and characters. By the end of this training, participants will be able to:
  • Understand the core concepts of generative AI and its application in gaming.
  • Implement procedural content generation to create expansive game worlds.
  • Design and develop AI-driven characters and narratives.
  • Evaluate the ethical implications of AI in gaming.
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Generative AI for Legal Tech: Automating Legal Processes

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level legal professionals, legal tech developers, and AI practitioners who wish to harness generative AI for automating legal processes. By the end of this training, participants will be able to:
  • Grasp the principles of generative AI and its relevance to legal tech.
  • Automate the creation and analysis of legal documents using AI.
  • Apply AI for efficient case analysis and legal research.
  • Address ethical considerations and ensure compliance with legal standards.
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Generative AI in Retail: Enhancing Customer Experience and Operations

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at retail managers, e-commerce professionals, and AI specialists at all levels of expertise who wish to leverage generative AI to drive innovation and efficiency in retail operations. By the end of this training, participants will be able to:
  • Understand the role of generative AI in retail and its potential benefits.
  • Implement generative AI tools for enhancing customer experience.
  • Utilize generative AI for optimizing inventory management.
  • Apply generative AI techniques for accurate sales forecasting.
  • Integrate generative AI solutions into retail operations effectively.
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Generative AI for Financial Services

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at finance professionals, fintech developers, and AI specialists across all levels of expertise who wish to leverage generative AI to transform financial services. By the end of this training, participants will be able to:
  • Understand the fundamentals of generative AI and its applications in financial services.
  • Utilize generative AI tools and platforms for risk assessment, fraud detection, and customer engagement.
  • Develop customized solutions using generative AI for financial services.
  • Integrate generative AI solutions into existing financial systems and processes.
  • Analyze and optimize generative AI models for improved performance.
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Generative AI in Marketing: Creating Personalized Campaigns

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at marketing professionals, digital strategists, and tech enthusiasts at all levels who wish to harness the power of generative AI to create personalized marketing campaigns. By the end of this training, participants will be able to:
  • Understand the fundamentals of generative AI and its applications in marketing.
  • Utilize generative AI tools and platforms for campaign creation.
  • Develop personalized marketing content using AI models.
  • Integrate AI-generated content into broader marketing strategies.
  • Analyze and optimize AI-driven marketing campaigns for better performance.
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Custom Chatbot Development Workshop

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level developers, data scientists, and tech enthusiasts who wish to gain hands-on experience in building and deploying custom chatbots using AI platforms. By the end of this training, participants will be able to:
  • Understand the fundamentals of chatbot development.
  • Explore different AI platforms for chatbot creation.
  • Design and implement custom chatbot solutions.
  • Deploy chatbots to various channels and platforms.
  • Analyze chatbot performance and user interaction.
  • Integrate chatbots with existing systems and databases.
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Optimizing User Experience with Customized Chatbots

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level UX designers, product managers, and customer service professionals who wish to optimize user interactions and satisfaction through the customization of chatbots. By the end of this training, participants will be able to:
  • Understand the principles of user-centered chatbot design.
  • Customize chatbots to align with user needs and preferences.
  • Implement best practices for enhancing user interaction.
  • Utilize analytics to measure and improve chatbot performance.
  • Integrate chatbots into existing customer service workflows.
  • Ensure a consistent and engaging user experience across platforms.
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Advanced Customization of AI Chatbots

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level developers, AI specialists, and tech professionals who wish to delve into advanced techniques for customizing AI chatbots for specific needs. By the end of this training, participants will be able to:
  • Develop advanced chatbot functionalities using custom code.
  • Integrate chatbots with complex external APIs and services.
  • Implement advanced natural language processing (NLP) techniques.
  • Optimize chatbot performance and user interactions.
  • Ensure security and privacy in chatbot applications.
  • Deploy and scale chatbots for high-demand environments.
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AI for Everyone: Custom Chatbots with Minimal Coding

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level participants, including business professionals and tech enthusiasts, who wish to learn how to create and customize chatbots using user-friendly AI tools. By the end of this training, participants will be able to:
  • Understand the basics of chatbot technology.
  • Navigate and utilize tools like Dialogflow and Microsoft Azure Bot Service.
  • Design and customize chatbot conversations.
  • Integrate chatbots with various platforms and services.
  • Deploy chatbots for real-world applications.
  • Monitor and improve chatbot performance.
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Creating Custom Chatbots with Google AutoML

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized chatbots for various applications. By the end of this training, participants will be able to:
  • Understand the fundamentals of chatbot development.
  • Navigate the Google Cloud Platform and access AutoML.
  • Prepare data for training chatbot models.
  • Train and evaluate custom chatbot models using AutoML.
  • Deploy and integrate chatbots into various platforms and channels.
  • Monitor and optimize chatbot performance over time.
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DeepSeek: Generative AI and Creative Applications

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level AI researchers, creative professionals, and advanced developers who wish to explore generative AI techniques, implement AI-driven creative workflows, and develop applications using DeepSeek models. By the end of this training, participants will be able to:
  • Understand the generative AI capabilities of DeepSeek models.
  • Generate text, images, and creative content using AI.
  • Optimize AI-generated outputs for different creative applications.
  • Develop AI-powered tools for storytelling, design, and media.
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Generative AI in Entertainment: Crafting the Future of Creative Arts

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level to intermediate-level game developers, artists, musicians, and entertainment industry professionals who wish to harness the power of generative AI to innovate within the realm of entertainment. By the end of this training, participants will be able to:
  • Understand the fundamentals of generative AI and its role in creative processes.
  • Explore the use of AI in generating music, literature, and visual arts.
  • Examine the impact of AI on video game development and player experiences.
  • Discuss the ethical considerations of using AI in artistic creation.
  • Envision and develop AI-driven projects in the entertainment sector.
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Generative AI in Healthcare: Transforming Medicine and Patient Care

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals, data analysts, and policy makers who wish to understand and apply generative AI in the context of healthcare. By the end of this training, participants will be able to:
  • Explain the principles and applications of generative AI in healthcare.
  • Identify opportunities for generative AI to enhance drug discovery and personalized medicine.
  • Utilize generative AI techniques for medical imaging and diagnostics.
  • Assess the ethical implications of AI in medical settings.
  • Develop strategies for integrating AI technologies into healthcare systems.
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Advanced Prompt Engineering for DeepSeek LLM

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level AI engineers, developers, and data analysts who wish to master prompt engineering strategies to maximize the effectiveness of DeepSeek LLM in real-world applications. By the end of this training, participants will be able to:
  • Craft advanced prompts to optimize AI responses.
  • Control and refine AI-generated text for accuracy and consistency.
  • Leverage prompt chaining and context management techniques.
  • Mitigate biases and enhance ethical AI usage in prompt engineering.
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Generative AI in Robotics: Creating Autonomous Solutions

 28 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level to advanced-level robotics engineers and AI researchers who wish to design and implement autonomous robotic systems using Generative AI techniques. By the end of this training, participants will be able to:
  • Understand the core concepts of Generative AI as they apply to robotics.
  • Design and simulate autonomous robots using Generative AI models.
  • Implement AI algorithms for robotic perception and decision-making.
  • Evaluate the impact of AI-driven robots in various industries.
  • Address the ethical considerations of deploying autonomous robotic systems.
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Generative AI in Education: Enhancing Personalized Learning

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalize education and enhance learning experiences. By the end of this training, participants will be able to:
  • Understand the principles and applications of Generative AI in the context of education.
  • Create personalized learning materials and pathways using AI.
  • Utilize AI tools for classroom management and content creation.
  • Address ethical considerations in the use of AI for education.
  • Develop strategies for integrating AI into educational curricula and administrative processes.
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Prompt Engineering for Customer Support and Chatbots

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level customer support professionals, chatbot developers, and automation engineers who wish to optimize AI-driven customer interactions through prompt engineering. By the end of this training, participants will be able to:
  • Understand the role of prompt engineering in AI-powered customer interactions.
  • Optimize chatbot prompts to enhance user engagement and satisfaction.
  • Use AI models effectively to handle customer queries and automate responses.
  • Design prompts for complex workflows, escalations, and issue resolution.
  • Ensure ethical AI interactions and reduce bias in automated customer service.
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Generative AI for Data Synthesis

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level data professionals who wish to create synthetic datasets for AI model training where real data is scarce or sensitive. By the end of this training, participants will be able to:
  • Understand the role and creation of synthetic data in Generative AI.
  • Implement Generative AI models to produce high-quality synthetic data.
  • Assess the quality and utility of synthetic datasets.
  • Navigate the ethical and legal considerations in using synthetic data.
  • Apply synthetic data strategies to real-world AI challenges.
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Prompt Engineering and Few-Shot Fine-Tuning

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level professionals who wish to leverage the power of prompt engineering and few-shot learning to optimize LLM performance for real-world applications. By the end of this training, participants will be able to:
  • Understand the principles of prompt engineering and few-shot learning.
  • Design effective prompts for various NLP tasks.
  • Leverage few-shot techniques to adapt LLMs with minimal data.
  • Optimize LLM performance for practical applications.
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Generative AI for Developers

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate generative AI into their software development lifecycle (SDLC). By the end of this training, participants will be able to:
  • Understand the role and capabilities of generative AI in software development.
  • Utilize AI tools for coding, debugging, and code reviews.
  • Apply AI techniques for efficient root cause analysis.
  • Implement AI features to enhance the software development process.
  • Evaluate ethical considerations and best practices for AI in development.
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Generative AI: Impact on Cyber Security

 28 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level to advanced-level cyber security professionals, IT managers, and policy makers who wish to understand the profound impact Generative AI is having on cyber security. By the end of this training, participants will be able to:
  • Comprehend the capabilities and applications of Generative AI in cyber security.
  • Recognize and anticipate AI-powered cyber threats and attacks.
  • Explore the use of Generative AI in strengthening cyber defense mechanisms.
  • Assess the ethical and legal considerations of employing Generative AI in cyber security.
  • Formulate strategies to integrate Generative AI into their cyber security practices.
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Generative AI for Managers

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level to advanced-level managers who wish to understand and leverage Generative AI in their business strategies. By the end of this training, participants will be able to:
  • Grasp the fundamental concepts and capabilities of Generative AI.
  • Identify opportunities for applying Generative AI within their organizations.
  • Understand the ethical and legal considerations of using Generative AI.
  • Lead discussions and make informed decisions about AI projects.
  • Develop a roadmap for integrating Generative AI into their business processes.
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Advanced AI Concepts with Perplexity

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level AI enthusiasts and developers who wish to leverage Perplexity AI for complex problem-solving and research. By the end of this training, participants will be able to:
  • Implement advanced AI techniques using Perplexity AI.
  • Analyze complex datasets and extract valuable insights.
  • Apply AI concepts to real-world problem-solving.
  • Integrate Perplexity AI with existing AI workflows.
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Generative AI Advanced

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level to advanced-level data scientists, machine learning engineers, and AI practitioners who wish to explore complex generative models and their applications in various industries. By the end of this training, participants will be able to:
  • Implement and train advanced generative models, including GANs, VAEs, and diffusion models.
  • Understand and apply the Transformer architecture in generative tasks.
  • Explore the ethical implications and challenges of Generative AI.
  • Apply advanced generative techniques to solve real-world problems in various industries.
  • Stay abreast of current research trends and future directions in Generative AI.
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Generative AI with Large Language Models (LLMs)

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level developers who wish to learn how to use generative AI with LLMs for various tasks and domains. By the end of this training, participants will be able to:
  • Explain what generative AI is and how it works.
  • Describe the transformer architecture that powers LLMs.
  • Use empirical scaling laws to optimize LLMs for different tasks and constraints.
  • Apply state-of-the-art tools and methods to train, fine-tune, and deploy LLMs.
  • Discuss the opportunities and risks of generative AI for society and business.
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Integrating Google AI Studio with Business Applications

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level IT managers, business application developers, and system integrators who wish to integrate Google AI Studio's capabilities with their business applications. By the end of this training, participants will be able to:
  • Understand the key features and capabilities of Google AI Studio for business integration.
  • Explore and connect AI Studio with business applications via APIs.
  • Customize AI models for specific business use cases.
  • Set up workflows that integrate AI predictions into business processes.
  • Deploy AI-driven insights and automation within enterprise applications.
  • Troubleshoot and optimize integrations for scalability and efficiency.
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NotebookLM Plus for Enterprises: AI-Powered Knowledge Management

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level professionals who wish to maximize the capabilities of NotebookLM Plus for large-scale information management. By the end of this training, participants will be able to:
  • Utilize NotebookLM Plus for enterprise-level document organization and synthesis.
  • Implement AI-powered knowledge management strategies for corporate teams.
  • Enhance collaboration with AI-generated insights and automated summaries.
  • Ensure data security and compliance within AI-driven enterprise environments.
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Prompt Engineering for Finance

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level finance professionals and fintech developers who wish to use AI-powered prompt engineering techniques to enhance financial analysis, risk management, and decision-making. By the end of this training, participants will be able to:
  • Understand the fundamentals of prompt engineering in financial applications.
  • Leverage AI models for financial forecasting and market sentiment analysis.
  • Automate financial reporting and data extraction using AI prompts.
  • Develop AI-driven risk assessment models through optimized prompts.
  • Ensure compliance and ethical considerations when using AI in finance.
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Generative AI for Beginners

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level developers who wish to gain foundational knowledge and practical experience in Generative AI. By the end of this training, participants will be able to:
  • Understand the principles behind generative models and their applications.
  • Implement basic generative models using TensorFlow or PyTorch.
  • Generate new content using Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).
  • Explore the ethical implications of generative AI.
  • Apply generative AI concepts to real-world scenarios.
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Google AI Studio for Advanced AI Solutions

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level AI developers, machine learning engineers, and data scientists who wish to use Google AI Studio to develop, optimize, and deploy cutting-edge AI solutions. By the end of this training, participants will be able to:
  • Navigate the Google AI Studio interface and understand its key components.
  • Prepare data for AI projects using Google AI Studio’s integrated tools.
  • Train, evaluate, and fine-tune machine learning models using AutoML and custom training features.
  • Deploy AI models as scalable, production-ready services.
  • Integrate Google AI APIs into applications to extend AI capabilities.
  • Leverage Explainable AI (XAI) tools for transparent and ethical AI practices.
  • Monitor and optimize AI models for performance and reliability.
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InVideo AI for Video Production

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level video producers, editors, and AI enthusiasts who wish to use AI technologies to enhance their video production workflows. By the end of this training, participants will be able to:
  • Utilize InVideo’s AI tools to streamline video editing processes.
  • Implement AI-driven techniques for automated video content creation.
  • Create professional-quality videos using AI-based templates.
  • Optimize AI-powered workflows for increased productivity in video production.
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NotebookLM for Education

 7 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level educational professionals who wish to leverage NotebookLM for educational content creation, automated assessments, and enhanced knowledge delivery. By the end of this training, participants will be able to:
  • Use NotebookLM to organize and structure lesson materials.
  • Automate content summaries to enhance student learning.
  • Create AI-powered study guides and assessments.
  • Improve student engagement with interactive content.
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Perplexity AI for Research and Writing

 7 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level research and writing professionals who wish to utilize Perplexity AI to streamline their research and writing efforts, ensuring efficiency and accuracy. By the end of this training, participants will be able to:
  • Understand how Perplexity AI can assist in various stages of research.
  • Utilize Perplexity AI for gathering and organizing information.
  • Enhance their writing process with AI-driven insights and suggestions.
  • Apply Perplexity AI in academic and professional writing projects.
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AI Workflow Automation with Google AI Studio

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level participants who wish to explore workflow automation with Google AI Studio, leveraging its tools to create, optimize, and manage efficient automated processes. By the end of this training, participants will be able to:
  • Understand the core features of Google AI Studio for workflow automation.
  • Set up and integrate Google AI Studio with other tools.
  • Design and execute AI-driven workflows.
  • Implement conditional logic for smarter automation.
  • Monitor and optimize automated workflows for efficiency.
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Adobe Firefly: Generative AI for Creatives

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level designers, artists, and content creators who wish to use Adobe Firefly to enhance their creativity and productivity. By the end of this training, participants will be able to:
  • Set up a development environment that includes Adobe Firefly and Adobe Creative Cloud.
  • Create images, text effects, and color palettes from text prompts using Adobe Firefly.
  • Use Adobe Firefly in Adobe apps like Photoshop, Illustrator, and Express.
  • Generate content that is safe for commercial use and respects the rights of content creators.
  • Apply ethical and responsible principles when using generative AI.
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InVideo AI: Creating Engaging Short-Form Videos

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level digital marketers, influencers, and brand strategists who wish to maximize audience engagement through AI-powered video content. By the end of this training, participants will be able to:
  • Understand the capabilities and features of InVideo AI.
  • Create compelling video content tailored to their target audience.
  • Implement strategies to increase viewer interaction and retention.
  • Analyze performance metrics to refine video marketing strategies.
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NotebookLM for Business and Productivity

 7 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level professionals who wish to leverage NotebookLM to streamline workflows, automate information synthesis, and improve decision-making processes. By the end of this training, participants will be able to:
  • Organize and manage business documents efficiently using NotebookLM.
  • Use AI-driven summaries and insights to enhance productivity.
  • Automate meeting notes and action items for improved collaboration.
  • Integrate NotebookLM with business workflows and productivity tools.
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Prompt Engineering for ChatGPT

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level to advanced-level developers and researchers who wish to craft effective prompts to elicit desired responses from ChatGPT. By the end of this training, participants will be able to:
  • Understand the principles of prompt engineering for AI models like ChatGPT.
  • Design prompts that effectively guide AI to produce desired outcomes.
  • Apply ethical considerations in crafting prompts.
  • Anticipate and adapt to the evolving landscape of AI interactions.
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Perplexity AI for Educators

 7 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level educators who wish to integrate Perplexity AI into their teaching methodologies to enhance the educational experience. By the end of this training, participants will be able to:
  • Understand the capabilities of Perplexity AI in an educational context.
  • Implement Perplexity AI to create interactive and engaging lesson plans.
  • Utilize Perplexity AI for student assessments and feedback.
  • Explore the potential of AI in personalized learning.
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Generative AI: Creating Novel Content with AI Models

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level to intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use generative AI to create novel and diverse content for various purposes. By the end of this training, participants will be able to:
  • Set up a development environment that includes generative AI models and tools.
  • Create images, text, audio, and other content from text prompts using generative AI.
  • Use generative AI in different domains such as art, design, entertainment, and education.
  • Evaluate the quality and diversity of the content generated by generative AI.
  • Understand the ethical and social implications of generative AI.
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Google AI Studio Essentials: Building AI Models with Ease

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level data analysts, business users, and product managers who wish to learn the basics of building and utilizing AI models with minimal coding using Google AI Studio. By the end of this training, participants will be able to:
  • Understand the fundamentals of AI and machine learning concepts.
  • Navigate and utilize Google AI Studio's interface and tools.
  • Create AI models using pre-built templates and datasets.
  • Train and evaluate models with easy-to-follow workflows.
  • Deploy AI models for real-world applications.
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InVideo AI for Social Media

 7 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level social media managers, content creators, and marketing professionals who wish to harness the power of InVideo AI for producing compelling video content for social media platforms. By the end of this training, participants will be able to:
  • Utilize InVideo AI to transform text into engaging video content.
  • Navigate and make the most of InVideo's AI-driven video creation platform.
  • Enhance social media strategies with AI-generated video content.
  • Analyze and optimize video engagement using AI insights.
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NotebookLM for Beginners

 7 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level professionals who wish to learn how to use NotebookLM to streamline their research, note-taking, and content synthesis. By the end of this training, participants will be able to:
  • Navigate and set up NotebookLM for research and study purposes.
  • Upload, organize, and manage various document types.
  • Generate AI-powered summaries and insights from uploaded content.
  • Use Audio Overviews for podcast-style learning.
  • Enhance productivity by integrating NotebookLM with other tools.
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Perplexity AI for Beginners

 7 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level IT professionals who wish to understand the basics of AI and learn how to use Perplexity AI effectively. By the end of this training, participants will be able to:
  • Explain the fundamental concepts of artificial intelligence.
  • Navigate and utilize the Perplexity AI platform for information discovery.
  • Apply Perplexity AI in various real-world scenarios.
  • Understand the ethical considerations and societal impacts of AI technologies.
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Testimonials (1)

prompts engineering part

Michal - GE HealthCare

Course - Generative AI with Large Language Models (LLMs)

Provisional Upcoming Courses (Contact Us For More Information)

Generative AI for Developers

2025-05-19 09:30
21 hours
Cambridge

Prompt Engineering for Customer Support and Chatbots

2025-06-02 09:30
14 hours
Cambridge

Generative AI with Azure OpenAI for Java Developers

2025-06-16 09:30
14 hours
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Generative AI for Tourism

2025-06-30 09:30
14 hours
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Prompt Engineering for Customer Support and Chatbots

2025-07-14 09:30
14 hours
Cambridge

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