Online or onsite, instructor-led live Generative AI (GenAI) training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of Generative AI.
Generative AI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Reading onsite live Generative AI trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Reading
400 Thames Valley Park Drive, Reading, united kingdom, RG6 1PT
The Thames Valley Park business centre is in a prestigious, modern 200-acre business park and nature reserve idyllically posi...
The Thames Valley Park business centre is in a prestigious, modern 200-acre business park and nature reserve idyllically positioned close to the south bank of the River Thames on the east side of Reading. The city has a significant historical involvement in the information technology industry and this attractive and highly sought-after location is home to an impressive array of well-known information technology companies. It is the UK headquarters for a world-leading software giant as well as a number of other household names providing infrastructure services, consulting, e-commerce and computer hardware. Other major businesses based here work in industries ranging from energy to financial services. Close to junction 10 of the M4 motorway, the park is easily accessible by road with a free shuttle bus service to the city's business centre and station, both of which can also be reached by taking a peaceful 15-minute walk along the river.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level data scientists who wish to gain a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).By the end of this training, participants will be able to:
Understand the components and functionality of transformer models.
Optimize and fine-tune LLMs for specific tasks and applications.
Understand the core principles and methodologies of reinforcement learning.
Learn how reinforcement learning techniques can enhance the performance of LLMs.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level content creators, marketers, and educational technologists who wish to harness the power of LLMs for generating high-quality, diverse, and engaging content across various domains.By the end of this training, participants will be able to:
Understand the capabilities of LLMs and their application in content generation.
Set up and use LLMs for generating various types of content.
Apply best practices for prompting and fine-tuning LLMs to produce desired outputs.
Evaluate the quality of AI-generated content and refine it for specific audiences.
Explore advanced techniques for creative and multi-modal content generation with LLMs.
This instructor-led, live training in Reading (online or onsite) is aimed at educators, EdTech professionals, and researchers with varying levels of experience and expertise who wish to leverage LLMs for creating personalized educational experiences.By the end of this training, participants will be able to:
Understand the architecture and capabilities of LLMs.
Identify opportunities for personalization in educational content using LLMs.
Design adaptive learning platforms that utilize LLMs for content personalization.
Implement LLM-driven strategies for enhancing student engagement and learning outcomes.
Evaluate the effectiveness of LLMs in educational settings and make data-driven decisions for
This instructor-led, live training in Reading (online or onsite) is aimed at beginner-level to intermediate-level software developers and data scientists who wish to implement LLMs in speech recognition and synthesis systems.By the end of this training, participants will be able to:
Understand the role of LLMs in speech technologies.
Implement LLMs for accurate speech recognition and natural-sounding speech synthesis.
Integrate LLMs with speech recognition engines and speech synthesizers.
Evaluate and improve the performance of speech systems using LLMs.
Stay informed about current trends and future directions in speech technologies.
This instructor-led, live training in Reading (online or onsite) is aimed at beginner-level to intermediate-level customer support and IT professionals who wish to implement LLMs to create responsive and intelligent customer support chatbots.By the end of this training, participants will be able to:
Understand the fundamentals and architecture of Large Language Models (LLMs).
Design and integrate LLMs into customer support systems.
Enhance the responsiveness and user experience of chatbots.
Address ethical considerations and ensure compliance with industry standards.
Deploy and maintain an LLM-based chatbot for real-world applications.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level data and marketing professionals who wish to apply LLMs to analyze and interpret public sentiment from various text sources such as social media posts, product reviews, and customer feedback.By the end of this training, participants will be able to:
Understand the principles of sentiment analysis and its application using LLMs.
Preprocess and prepare datasets for sentiment analysis.
Train and fine-tune LLMs to accurately reflect sentiment in text.
Analyze sentiment in real-time from social media and other text sources.
Integrate sentiment analysis findings into business strategies and decision-making processes.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level software developers and technical writers who wish to leverage LLMs to streamline their coding workflow and create detailed, comprehensive documentation.By the end of this training, participants will be able to:
Understand the role of LLMs in automating code generation and software documentation.
Utilize LLMs to create accurate and efficient code snippets and documentation.
Integrate LLMs into their software development lifecycle for enhanced productivity.
Maintain high-quality documentation standards using automated tools.
Address ethical considerations and best practices for using AI in software development.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level business professionals and data analysts who wish to harness the power of LLMs for extracting business insights.By the end of this training, participants will be able to:
Understand the fundamentals and applications of LLMs in the context of business intelligence.
Apply LLMs to analyze large datasets and extract meaningful insights.
Integrate LLM-driven analytics into strategic business decision-making processes.
Evaluate the ethical considerations and best practices for using LLMs in business.
Anticipate future trends in AI and prepare for the evolving landscape of business intelligence.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at beginner-level to advanced-level developers and data scientists who wish to master LlamaIndex for developing innovative LLM-powered applications.By the end of this training, participants will be able to:
Set up and configure LlamaIndex for use with LLMs.
Index and query custom datasets using LlamaIndex to enhance LLM functionality.
Design and develop sophisticated applications that utilize LlamaIndex and LLMs.
Understand and apply best practices for working with LLMs and LlamaIndex.
Navigate the ethical considerations involved in deploying LLM-powered applications.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level AI researchers, machine learning professionals, and data scientists who wish to use LlamaIndex to enhance the capabilities of AI models, making them more accurate and reliable for various applications.By the end of this training, participants will be able to:
Understand the principles and components of LlamaIndex.
Ingest and structure data for use with LLMs.
Implement context augmentation to improve AI model performance.
Integrate LlamaIndex into existing AI systems and workflows.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.By the end of this training, participants will be able to:
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level content creators who wish to utilize Google Gemini AI to enhance their content quality and efficiency.By the end of this training, participants will be able to:
Understand the role of AI in content creation.
Set up and use Google Gemini AI to generate and optimize content.
Apply text-to-text transformations to produce creative and original content.
Implement SEO strategies using AI-driven insights.
Analyze content performance and adapt strategies using Gemini AI.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.By the end of this training, participants will be able to:
Understand the impact of AI on customer service.
Set up Google Gemini AI to automate and personalize customer interactions.
Utilize text-to-text and image-to-text transformations to improve service efficiency.
Develop AI-driven strategies for real-time customer feedback analysis.
Explore advanced features to create a seamless customer service experience.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI.By the end of this training, participants will be able to:
Understand the fundamentals of large language models.
Set up and use Google Gemini AI for various AI tasks.
Implement text-to-text and image-to-text transformations.
Build basic AI-driven applications.
Explore advanced features and customization options in Google Gemini AI.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.By the end of this training, participants will be able to:
Establish a development environment with LLMs and essential tools.
Expertly perform NLU and NLI tasks with LLMs.
Extract, infer, and utilize knowledge graphs effectively.
Generate and manage dialogues using LLMs for conversational applications.
Evaluate content quality and diversity generated by LLMs and generative AI.
Apply ethical principles, ensuring fairness and responsible use of LLMs.
This instructor-led, live training in Reading (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.
This instructor-led, live training in Reading (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use Large Language Models for various natural language tasks.
By the end of this training, participants will be able to:
Set up a development environment that includes a popular LLM.
Create a basic LLM and fine-tune it on a custom dataset.
Use LLMs for different natural language tasks such as text summarization, question answering, text generation, and more.
Debug and evaluate LLMs using tools such as TensorBoard, PyTorch Lightning, and Hugging Face Datasets.
This instructor-led, live training in Reading (online or onsite) is aimed at beginner-level to intermediate-level data scientists and developers who wish to implement and leverage Small Language Models in various applications.By the end of this training, participants will be able to:
Understand the architecture and functionality of Small Language Models.
Implement SLMs for tasks such as text generation and sentiment analysis.
Optimize and fine-tune SLMs for specific use cases.
Deploy SLMs in resource-constrained environments.
Evaluate and interpret the performance of SLMs in real-world scenarios.
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