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. Maryland onsite live Generative AI trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
MD, Baltimore - Legg Mason Tower
100 International Drive 23rd Floor, Baltimore, united states, 21202
A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home ...
A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home of the Legg Mason office. It's located on the 23rd floor of this class-A office development, which is designed by world-renowned architects and boasts panoramic views. The office space benefits from the tower's ‘green' LEED credentials, proximity to Interstate 83 and excellent onsite amenities. Inner Harbor is the chief commercial and tourist destination in Baltimore and part of the Downtown area - the base for many key businesses.
This instructor-led, live training in Maryland (online or onsite) is aimed at intermediate-level AI professionals and ethicists, data scientists and engineers, and policy makers and stakeholders who wish to understand and navigate the ethical landscape of LLMs.By the end of this training, participants will be able to:
Identify ethical issues and challenges associated with LLMs.
Apply ethical frameworks and principles to LLM deployment.
Assess the societal impact of LLMs and mitigate potential risks.
Develop strategies for responsible AI development and usage.
This instructor-led, live training in Maryland (online or onsite) is aimed at intermediate-level NLP practitioners and data scientists, content creators and translators, and global businesses who wish to use LLMs for language translation and creating multilingual content.By the end of this training, participants will be able to:
Understand the principles of cross-lingual learning and translation with LLMs.
Implement LLMs for translating content between various languages.
Create and manage multilingual datasets for training LLMs.
Develop strategies for maintaining consistency and quality in translation.
This instructor-led, live training in Maryland (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 Maryland (online or onsite) is aimed at intermediate-level financial analysts, data scientists, and investment professionals who wish to leverage LLMs for financial market analysis and prediction.By the end of this training, participants will be able to:
Understand the application of LLMs in financial market analysis.
Use LLMs to process financial news, reports, and data for market insights.
Develop predictive models for stock prices, market trends, and economic indicators.
Integrate LLM insights into investment decision-making processes.
This instructor-led, live training in Maryland (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 Maryland (online or onsite) is aimed at intermediate-level environmental scientists and researchers, data analysts, and policy makers and environmental advocates who wish to use LLMs for environmental modeling and analysis.By the end of this training, participants will be able to:
Understand the application of LLMs in environmental science.
Utilize LLMs to analyze and model environmental data.
Interpret LLM outputs for environmental impact assessments.
Communicate findings effectively to inform policy and conservation efforts.
This instructor-led, live training in Maryland (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 Maryland (online or onsite) is aimed at intermediate-level VR and AR developers, game designers, and AI engineers who wish to incorporate LLMs into VR and AR applications to create more engaging and responsive environments.By the end of this training, participants will be able to:
Understand the role of LLMs in creating immersive VR and AR experiences.
Develop VR and AR applications that utilize LLMs for interactive dialogues and content creation.
Integrate LLMs with VR and AR development tools for enhanced user engagement.
Apply best practices for designing AI-driven narratives and interactions in virtual spaces.
This instructor-led, live training in Maryland (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 Maryland (online or onsite) is aimed at intermediate-level data scientists, machine learning engineers, and software developers who wish to apply Large Language Models (LLMs) to multimodal data for advanced AI applications.By the end of this training, participants will be able to:
Understand the principles of multimodal learning with LLMs.
Implement LLMs to process and analyze text, image, and audio data.
Develop applications that leverage the strengths of multimodal data integration.
Evaluate the performance of multimodal LLM systems.
This instructor-led, live training in Maryland (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 Maryland (online or onsite) is aimed at intermediate-level cybersecurity professionals and data scientists who wish to utilize LLMs for enhancing cybersecurity measures and threat intelligence.By the end of this training, participants will be able to:
Understand the role of LLMs in cybersecurity.
Implement LLMs for threat detection and analysis.
Utilize LLMs for security automation and response.
Integrate LLMs with existing security infrastructure.
This instructor-led, live training in Maryland (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 Maryland (online or onsite) is aimed at intermediate-level data scientists and business analysts who wish to utilize large language models (LLMs) to forecast trends and behaviors in various industries.By the end of this training, participants will be able to:
Understand the fundamentals of LLMs and their role in predictive analytics.
Implement LLMs to analyze and forecast data in various industries.
Evaluate the effectiveness of predictive models using LLMs.
Integrate LLMs with existing data processing pipelines.
This instructor-led, live training in Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (online or onsite) is aimed at intermediate-level urban planners, city administrators, and smart city solution developers who wish to implement Small Language Models (SLMs) in smart city projects to improve urban living.By the end of this training, participants will be able to:
Understand the application of SLMs in smart cities.
Integrate SLMs with urban data sets for enhanced decision-making.
Develop strategies for deploying SLMs in urban management systems.
Assess the impact of SLMs on urban planning and smart city solutions.
This instructor-led, live training in Maryland (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 Maryland (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 Maryland (online or onsite) is aimed at intermediate-level educational technologists, instructional designers, and AI developers in education who wish to integrate Small Language Models (SLMs) into educational platforms to enhance teaching and learning processes.By the end of this training, participants will be able to:
Understand the role of SLMs in educational technology.
Design AI-driven learning experiences using SLMs.
Implement SLMs in various educational settings.
Evaluate the effectiveness of SLMs in learning outcomes.
This instructor-led, live training in Maryland (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 Maryland (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 Maryland (online or onsite) is aimed at intermediate-level IT professionals who wish to deploy small language models directly onto devices with limited processing capabilities, opening up possibilities for innovative applications in various sectors.By the end of this training, participants will be able to:
Understand the challenges and solutions for implementing AI on compact hardware.
Optimize and compress AI models for efficient on-device deployment.
Utilize modern AI frameworks and tools for on-device model implementation.
Design and develop real-time AI applications for mobile and IoT devices.
Evaluate and ensure the security and privacy of on-device AI systems.
This instructor-led, live training in Maryland (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 Maryland (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 Maryland (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.
This instructor-led, live training in Maryland (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 Maryland (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 Maryland (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.
This instructor-led, live training in Maryland (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 Maryland (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.By the end of this training, participants will be able to:
Grasp the fundamental principles of LangChain.
Set up and configure the LangChain environment.
Understand the architecture and how LangChain interacts with large language models (LLMs).
This instructor-led, live training in Maryland (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.
This instructor-led, live training in Maryland (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 Maryland (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 Maryland (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.By the end of this training, participants will be able to:
Understand the fundamentals of LangChain and its components.
Integrate LangChain with large language models (LLMs) like GPT-4.
Build modular AI applications using LangChain.
Troubleshoot common issues in LangChain applications.
This instructor-led, live training in Maryland (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.
This instructor-led, live training in Maryland (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 Maryland (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.
Online Generative AI training in Maryland, Generative AI training courses in Maryland, Weekend GenAI courses in Maryland, Evening Generative AI training in Maryland, Generative AI instructor-led in Maryland, Generative AI one on one training in Maryland, Weekend Generative AI training in Maryland, Generative AI classes in Maryland, Generative AI private courses in Maryland, Generative AI boot camp in Maryland, Generative AI trainer in Maryland, Generative AI coaching in Maryland, GenAI instructor in Maryland, Evening Generative AI courses in Maryland, GenAI instructor-led in Maryland, GenAI on-site in Maryland, Online GenAI training in Maryland
