Online or onsite, instructor-led live DeepSeek training courses demonstrate through interactive hands-on practice how to use DeepSeek's AI platform to build and deploy machine learning models for various applications.
DeepSeek 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. Dartmouth onsite live DeepSeek trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level to advanced-level architects, urban planners, and design professionals who wish to integrate AI into their design process, from conceptualization to final deliverables.
By the end of this training, participants will be able to:
Generate design iterations using AI-powered text-to-video and image generation tools.
Use AI to create floor plans, sections, elevations, and material selections.
Ensure compliance with regulations using AI-driven design validation.
Integrate AI workflows into Revit and other rendering tools.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at advanced-level government professionals and policy experts who wish to leverage DeepSeek for data-driven governance and policy innovation.
By the end of this training, participants will be able to:
Utilize DeepSeek AI for policy analysis and strategic decision-making.
Automate government reports and improve data transparency.
Apply AI-driven insights for public sector innovation.
Enhance citizen engagement through AI-powered solutions.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at advanced-level researchers, scientists, and data analysts who wish to leverage DeepSeek AI for accelerating discoveries in their respective fields.
By the end of this training, participants will be able to:
Use DeepSeek AI for comprehensive literature reviews and knowledge synthesis.
Automate data extraction and hypothesis testing with AI-driven models.
Leverage DeepSeek AI for predictive analysis in scientific research.
Generate structured scientific reports and publications with AI assistance.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at advanced-level AI engineers, robotics developers, and automation specialists who wish to leverage DeepSeek for building intelligent AI agents and autonomous systems.
By the end of this training, participants will be able to:
Understand the architecture and capabilities of DeepSeek AI models.
Integrate DeepSeek into AI agents for decision-making and automation.
Apply reinforcement learning techniques for training autonomous systems.
Deploy AI-driven autonomous agents in real-world environments.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level HR professionals, recruiters, and people analytics teams who wish to leverage DeepSeek AI for automating and optimizing HR processes.
By the end of this training, participants will be able to:
Implement AI-driven resume screening and candidate ranking.
Utilize DeepSeek for employee sentiment analysis and engagement insights.
Enhance workforce planning with predictive analytics.
Integrate DeepSeek AI into HR workflows for automation and efficiency.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level legal professionals who wish to leverage DeepSeek AI for improving efficiency in legal research, contract analysis, and document automation.
By the end of this training, participants will be able to:
Utilize DeepSeek AI for contract review and legal document automation.
Enhance legal research with AI-powered case law analysis.
Implement AI-driven summarization for legal documents.
Automate repetitive legal workflows using DeepSeek AI.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level financial professionals who wish to leverage DeepSeek AI for financial analysis and decision-making.
By the end of this training, participants will be able to:
Use DeepSeek AI for financial forecasting and trend analysis.
Automate risk assessment using AI-driven insights.
Generate AI-powered financial reports with greater efficiency.
Integrate DeepSeek AI into existing financial workflows.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at beginner-level professionals who wish to implement DeepSeek AI for customer support automation.
By the end of this training, participants will be able to:
Integrate DeepSeek AI into chatbot systems.
Automate customer support responses with AI.
Analyze and improve customer interactions using AI-driven insights.
Optimize chatbot workflows for better user experience.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at beginner-level digital marketing professionals who wish to enhance their marketing strategies with AI automation and data-driven insights.
By the end of this training, participants will be able to:
Use DeepSeek to generate high-quality marketing content.
Automate social media engagement and content distribution.
Analyze audience data to improve targeting and personalization.
Integrate AI-powered tools into their marketing workflows.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level sustainability professionals, researchers, and AI developers who wish to use DeepSeek to apply AI-driven analysis for sustainability, predictive modeling for climate action, and responsible AI applications for social good.
By the end of this training, participants will be able to:
Use DeepSeek models for sustainability-related data analysis.
Apply AI for climate change modeling, resource optimization, and biodiversity monitoring.
Develop AI-driven solutions for social impact and sustainable development goals (SDGs).
Ensure responsible AI practices in sustainability applications.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level to advanced-level AI researchers, developers, and data scientists who wish to leverage DeepSeek’s multimodal capabilities for cross-modal learning, AI automation, and advanced decision-making.By the end of this training, participants will be able to:
Implement DeepSeek’s multimodal AI for text, image, and audio applications.
Develop AI solutions that integrate multiple data types for richer insights.
Optimize and fine-tune DeepSeek models for cross-modal learning.
Apply multimodal AI techniques to real-world industry use cases.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level business analysts, managers, and decision-makers who wish to leverage DeepSeek for predictive modeling, data visualization, and strategic decision-making.By the end of this training, participants will be able to:
Use DeepSeek to analyze business data and generate insights.
Apply predictive modeling for business forecasting.
Automate reporting and business intelligence workflows.
Enhance decision-making with AI-powered analytics.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level business professionals, educators, and marketers who wish to integrate DeepSeek with PowerPoint to automate and optimize their presentations.
By the end of this training, participants will be able to:
Automate the creation of text-based content in PowerPoint slides using DeepSeek.
Generate data-driven visuals and infographics powered by DeepSeek models.
Use AI to summarize long reports and turn them into presentation-ready slides.
Integrate DeepSeek with PowerPoint for streamlined, dynamic presentations.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level to advanced-level marketing professionals who wish to learn the application of DeepSeek in real-time data analysis, customer behavior prediction, and automated marketing campaign management.
By the end of this training, participants will be able to:
Implement DeepSeek-powered models to analyze customer data and optimize marketing strategies.
Leverage AI for audience segmentation and personalized marketing.
Integrate DeepSeek with marketing automation tools for campaign management.
Apply predictive analytics to forecast customer behavior and improve targeting efforts.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level content creators, marketers, and media professionals who wish to leverage DeepSeek for AI-assisted writing, automated media generation, and content production workflows.
By the end of this training, participants will be able to:
Generate high-quality text content using DeepSeek models.
Automate content creation workflows for blogs, social media, and marketing campaigns.
Integrate AI tools into existing content management systems.
Enhance creativity and efficiency with AI-driven ideation and structuring.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level educators, trainers, and instructional designers who wish to leverage DeepSeek AI models for improving student engagement, streamlining assessments, and automating educational content.
By the end of this training, participants will be able to:
Use DeepSeek AI to create personalized learning experiences.
Automate grading and feedback with AI-driven assessment tools.
Generate high-quality educational content with DeepSeek models.
Integrate AI into LMS platforms for enhanced learning management.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level cybersecurity professionals who wish to leverage DeepSeek for advanced threat detection and automation.
By the end of this training, participants will be able to:
Utilize DeepSeek AI for real-time threat detection and analysis.
Implement AI-driven anomaly detection techniques.
Automate security monitoring and response using DeepSeek.
Integrate DeepSeek into existing cybersecurity frameworks.
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 advanced-level AI engineers and data scientists with intermediate-to-advanced experience who wish to enhance DeepSeek model performance, minimize latency, and deploy AI solutions efficiently using modern MLOps practices.
By the end of this training, participants will be able to:
Optimize DeepSeek models for efficiency, accuracy, and scalability.
Implement best practices for MLOps and model versioning.
Deploy DeepSeek models on cloud and on-premise infrastructure.
Monitor, maintain, and scale AI solutions effectively.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at advanced-level AI engineers, developers, and data analysts who wish to master prompt engineering strategies to maximize the effectiveness of DeepSeek LLM in real-world applications.
By the end of this training, participants will be able to:
Craft advanced prompts to optimize AI responses.
Control and refine AI-generated text for accuracy and consistency.
Leverage prompt chaining and context management techniques.
Mitigate biases and enhance ethical AI usage in prompt engineering.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level engineers, data scientists, and researchers who wish to leverage DeepSeek Math for solving complex equations and DeepSeek Vision for AI-driven image processing.
By the end of this training, participants will be able to:
Utilize DeepSeek Math for AI-assisted problem-solving.
Apply DeepSeek Vision for image analysis and object detection.
Integrate AI-powered mathematical and visual tools into applications.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at advanced-level AI architects, enterprise developers, and CTOs who wish to deploy, optimize, and scale DeepSeek models within business environments while ensuring security, compliance, and ethical AI practices.
By the end of this training, participants will be able to:
Deploy DeepSeek models in enterprise environments.
Optimize AI models for performance and scalability.
Ensure data security and compliance in AI applications.
Implement ethical AI practices in business solutions.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at advanced-level AI researchers, machine learning engineers, and developers who wish to fine-tune DeepSeek LLM models to create specialized AI applications tailored to specific industries, domains, or business needs.
By the end of this training, participants will be able to:
Understand the architecture and capabilities of DeepSeek models, including DeepSeek-R1 and DeepSeek-V3.
Prepare datasets and preprocess data for fine-tuning.
Fine-tune DeepSeek LLM for domain-specific applications.
Optimize and deploy fine-tuned models efficiently.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level developers, data engineers, and software teams who wish to implement DeepSeek Coder for AI-assisted software development, automation, and optimization.
By the end of this training, participants will be able to:
Implement AI-assisted code generation and refactoring in large-scale projects.
Leverage AI-powered debugging to enhance software reliability.
Integrate DeepSeek Coder into DevOps and CI/CD pipelines.
Use AI for intelligent automation in software engineering workflows.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level developers, software engineers, and data scientists who wish to leverage DeepSeek APIs for building AI-powered applications.
By the end of this training, participants will be able to:
Understand the capabilities of DeepSeek APIs.
Integrate DeepSeek APIs into applications.
Implement AI-powered automation and chatbots.
Optimize API performance and manage API calls effectively.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at beginner-level non-technical professionals and entrepreneurs who wish to leverage DeepSeek's open-source models for content creation, automation, and business intelligence.
By the end of this training, participants will be able to:
Understand the fundamentals of no-code AI and its applications in business.
Use DeepSeek models for content generation and automation.
Integrate AI tools into existing workflows using platforms like Zapier, Make and Notion.
Analyze business data and generate actionable insights using AI.
Develop AI-driven strategies to improve productivity and decision-making.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.
By the end of this training, participants will be able to:
Understand the capabilities and limitations of DeepSeek Coder.
Generate high-quality code snippets using AI assistance.
Utilize DeepSeek Coder for debugging and optimizing code.
Automate repetitive programming tasks using AI tools.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at beginner-level participants who wish to understand the fundamentals of large language models, explore the workings of DeepSeek LLM and its specific models, and discover practical applications in business and daily life.
By the end of this training, participants will be able to:
Comprehend the basic principles of large language models (LLMs).
Understand the architecture and functionalities of DeepSeek LLM, including DeepSeek-R1 and DeepSeek-V3.
Identify practical applications of DeepSeek LLM in various business contexts.
Implement basic projects utilizing DeepSeek LLM for everyday tasks.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at beginner-level participants who wish to understand the fundamentals of AI and DeepSeek's architecture and applications.
By the end of this training, participants will be able to:
Understand the basic concepts of AI and LLMs.
Explore DeepSeek's architecture and its use cases.
Apply foundational AI concepts to real-world scenarios.
Gain insights into ethical considerations in AI development.
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