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 ...

Subcategories (2)

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Large Language Models (LLMs)
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Small Language Models (SLMs)

Explore Our Courses

LLMs for Content Generation

14 Hours
This instructor-led, live training in Dartmouth (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.
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LLMs for Personalized Education

14 Hours
This instructor-led, live training in Dartmouth (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
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LLMs for Speech Recognition and Synthesis

14 Hours
This instructor-led, live training in Dartmouth (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.
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LLMs for Automated Customer Support

14 Hours
This instructor-led, live training in Dartmouth (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.
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LLMs for Sentiment Analysis

21 Hours
This instructor-led, live training in Dartmouth (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.
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LLMs for Code Generation and Documentation

14 Hours
This instructor-led, live training in Dartmouth (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.
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LLMs for Business Intelligence

14 Hours
This instructor-led, live training in Dartmouth (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.
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Generative AI in Robotics: Creating Autonomous Solutions

28 Hours
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.
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LlamaIndex: Developing LLM Powered Applications

42 Hours
This instructor-led, live training in Dartmouth (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.
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Generative AI in Education: Enhancing Personalized Learning

21 Hours
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.
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LlamaIndex: Enhancing Contextual AI

14 Hours
This instructor-led, live training in Dartmouth (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.
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Generative AI for Data Synthesis

21 Hours
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.
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Google Gemini AI for Data Analysis

21 Hours
This instructor-led, live training in Dartmouth (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:
  • Understand the fundamentals of Google Gemini AI.
  • Connect various data sources to Gemini AI.
  • Explore data using natural language queries.
  • Analyze data patterns and derive insights.
  • Create compelling data visualizations.
  • Communicate data-driven insights effectively.
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Generative AI for Developers

21 Hours
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.
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Google Gemini AI for Content Creation

14 Hours
This instructor-led, live training in Dartmouth (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.
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Generative AI: Impact on Cyber Security

28 Hours
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.
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Google Gemini AI for Transformative Customer Service

14 Hours
This instructor-led, live training in Dartmouth (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.
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Generative AI for Managers

21 Hours
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.
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Introduction to Google Gemini AI

14 Hours
This instructor-led, live training in Dartmouth (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.
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Generative AI Advanced

21 Hours
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.
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Generative AI with Large Language Models (LLMs)

21 Hours
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.
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Small Language Models (SLMs): Developing Energy-Efficient AI

21 Hours
This instructor-led, live training in Dartmouth (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish to develop energy-efficient AI solutions with small language models that are both powerful and environmentally friendly.By the end of this training, participants will be able to:
  • Understand the impact of AI on energy consumption and the environment.
  • Apply model compression and optimization techniques to reduce the size and energy usage of AI models.
  • Utilize energy-efficient hardware and software frameworks for AI deployment.
  • Implement best practices for sustainable AI development.
  • Advocate for and contribute to sustainable practices in the AI industry.
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Generative AI for Beginners

14 Hours
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.
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Small Language Models (SLMs) for Human-AI Interactions

14 Hours
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level data scientists, machine learning and AI researchers who wish to create engaging and efficient AI-powered conversational experiences with small language models.By the end of this training, participants will be able to:
  • Understand the fundamentals of conversational AI and the role of SLMs.
  • Design and implement user-centric AI interactions.
  • Develop and train SLMs for interactive applications.
  • Evaluate and improve the effectiveness of human-AI communication using appropriate metrics.
  • Deploy scalable and ethical AI-driven conversational interfaces in real-world scenarios.
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Adobe Firefly: Generative AI for Creatives

14 Hours
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.
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Advanced LLMs for NLP Tasks

21 Hours
This instructor-led, live training in Dartmouth (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.
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Small Language Models (SLMs) for Domain-Specific Applications

28 Hours
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level data scientists and machine learning engineers who wish to create and apply small language models tailored for specific domains such as legal, medical, and technical fields.By the end of this training, participants will be able to:
  • Understand the importance and application of domain-specific language models.
  • Curate and preprocess specialized datasets for model training.
  • Train and fine-tune language models for domain-specific applications.
  • Evaluate and benchmark models using domain-relevant metrics.
  • Deploy domain-specific language models in real-world scenarios.
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Generative AI: Creating Novel Content with AI Models

14 Hours
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.
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Introduction to Large Language Models (LLMs)

14 Hours
This instructor-led, live training in Dartmouth (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.
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Small Language Models (SLMs): Applications and Innovations

14 Hours
This instructor-led, live training in Dartmouth (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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Testimonials (10)

examples and exercises

Kamil
Course - Introduction to Data Science and AI using Python

Machine Translated

The course is very interesting being the main focus nowdays

mohamed taher - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

Ahmed was very interactive and didn’t mind answering any kind of questions Well presentation and smooth flow of the course

Mohamed Ghowaiba - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

Helpful and good listener .. interactive

Ahmed El Kholy - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

All the information presented

Jose Victor - si
Course - Artificial Intelligence (AI) for Managers

The exercises and examples presented.

Marcos - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

Machine Learning Themes

Víctor Edgar - si
Course - Artificial Intelligence (AI) for Managers

The teacher's attitude

Ivonne Guadalupe Avendaño Hernandez - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

The concepts taught were clear, practical and help a lot in getting an idea of how to use this AI & ML topic.

Miguel - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.

Terry Strachan - Exel Computer Systems plc
Course - OptaPlanner in Practice

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