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. Onsite live Generative AI training can be carried out locally on customer premises in Dartmouth or in NobleProg corporate training centers in Dartmouth.
NobleProg -- Your Local Training Provider
Dartmouth - Metropolitan Place
99 Wyse Road, Dartmouth, Canada, B3A 4S5
Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and the local ferry terminal are located close by, and restaurants cafes are easily accessible for lunch.
Generative AI and Agentic AI are two powerful paradigms driving the next wave of automation and intelligence — one focused on content generation and the other on goal-driven, autonomous behavior.
This instructor-led, live training (online or onsite) is aimed at intermediate-level AI and technical professionals who wish to understand how to build, evaluate, and integrate generative and agentic AI into real-world applications.
By the end of this training, participants will be able to:
Understand the architecture and capabilities of generative AI systems.
Explore the rise of autonomous AI agents and how they extend LLMs.
Use prompt engineering and tool integrations for practical deployments.
Compare models, tools, and techniques for responsible deployment.
Format of the Course
Interactive lecture and discussion.
Hands-on use of generative and agentic AI tools in real-world scenarios.
Guided exercises focused on content generation and autonomous workflows.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (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.
Microsoft 365 Copilot is an AI-powered assistant embedded into familiar Microsoft tools to enhance content creation, automate routine tasks, and provide smart insights.
This instructor-led, live training (online or onsite) is aimed at public sector employees with limited or no prior experience using AI tools who wish to use Microsoft 365 Copilot to enhance communication, streamline document work, and extract insights more efficiently from data and meetings.
By the end of this training, participants will be able to:
Use Copilot in Word, Excel, and Outlook to draft, analyze, and improve communications.
Automate repetitive documentation and summarization tasks across Microsoft 365 apps.
Generate insights from meeting notes, spreadsheets, and written reports.
Follow responsible use guidelines for Copilot in a public sector context.
Format of the Course
Interactive lecture and discussion.
Hands-on use of Microsoft 365 Copilot in sample government scenarios.
Guided exercises focused on communication, reporting, and meeting productivity.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
This instructor-led, live training in Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (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.
This instructor-led, live training in Dartmouth (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 Dartmouth (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 Dartmouth (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.
This instructor-led, live training in Dartmouth (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 Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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 Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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 Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level supervisors and programming officers who wish to expand their knowledge in administering SharePoint and effectively utilizing Microsoft 365 Copilot.
By the end of this training, participants will be able to:
Understand the fundamentals of SharePoint architecture and administration.
Configure and manage SharePoint sites and user permissions.
Implement security and compliance measures within SharePoint.
Integrate and manage Microsoft 365 Copilot features to enhance organizational productivity.
Apply best practices for data governance and content management.
Read more...
Last Updated:
Testimonials (1)
prompts engineering part
Michal - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
Online Generative AI training in Dartmouth, GenAI training courses in Dartmouth, Weekend Generative AI courses in Dartmouth, Evening Generative AI training in Dartmouth, Generative AI instructor-led in Dartmouth, GenAI private courses in Dartmouth, Generative AI coaching in Dartmouth, GenAI instructor-led in Dartmouth, GenAI on-site in Dartmouth, Generative AI boot camp in Dartmouth, GenAI trainer in Dartmouth, Weekend Generative AI training in Dartmouth, Evening Generative AI courses in Dartmouth, Online Generative AI training in Dartmouth, Generative AI instructor in Dartmouth, GenAI one on one training in Dartmouth, Generative AI classes in Dartmouth
