Deploying Tencent Hunyuan in Production: Low-Latency Inference & Cost Optimization Training Course
Deploying Tencent Hunyuan in Production: Low-Latency Inference & Cost Optimization is a practical course designed to facilitate the reliable deployment of Tencent Hunyuan models at scale.
This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineers and architects who are interested in utilizing Tencent Hunyuan to deploy large and Mixture of Experts (MoE) models with reduced latency, enhanced GPU utilization, and managed operating costs for government applications.
By the conclusion of this training, participants will be able to:
- articulate the primary production challenges associated with serving Tencent Hunyuan models.
- implement practical inference optimization techniques such as TensorRT integration, KV-cache tuning, quantization, and batching.
- develop a scalable deployment strategy that incorporates autoscaling, monitoring, and capacity planning.
- optimize the balance between latency and cost for real-world production workloads.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and hands-on practice.
- Practical implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Tencent Hunyuan Production Fundamentals for Government
- Overview of Tencent Hunyuan model serving scenarios for government applications
- Production characteristics of large and MoE models in a public sector context
- Common latency, throughput, and cost bottlenecks encountered in government operations
- Defining service-level objectives for inference workloads within government agencies
Deployment Architecture and Serving Flow for Government
- Core components of a production inference stack for government use
- Choosing between containerized, on-premise, and cloud deployment models for government environments
- Model loading, request routing, and GPU allocation basics in government systems
- Designing for reliability and operational simplicity in government operations
Latency Optimization in Practice for Government
- Using optimized inference engines such as TensorRT where applicable in government settings
- KV-cache concepts and practical cache tuning for government applications
- Reducing startup, warmup, and response overhead in government systems
- Measuring time to first token and token generation speed for government use cases
Throughput, Batching, and GPU Efficiency for Government
- Continuous batching and request batching strategies for government operations
- Managing concurrency and queue behavior in government environments
- Improving GPU utilization without harming user experience in government applications
- Handling long-context and mixed-workload requests in government systems
Quantization and Cost Control for Government
- Why quantization matters for production serving in government contexts
- Practical trade-offs of FP16, INT8, and other common precision options for government use
- Balancing model quality, latency, and infrastructure cost in government operations
- Building a simple cost optimization checklist for government agencies
Operations, Monitoring, and Readiness Review for Government
- Autoscaling triggers for inference services in government settings
- Monitoring latency, throughput, cache usage, and GPU health in government systems
- Logging, alerting, and incident response basics for government operations
- Reviewing a reference deployment and creating an improvement plan for government agencies
Requirements
- Fundamental understanding of large language model deployment and inference processes for government applications
- Experience with containerization, cloud or on-premise infrastructure, and API-driven services
- Practical knowledge of Python programming or system engineering tasks
Audience
- Machine learning engineers responsible for deploying large language models into production environments
- Platform engineers overseeing GPU-based inference services
- Solution architects tasked with designing scalable AI serving platforms for government use
14 Hours
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
Deploying Tencent Hunyuan in Production: Low-Latency Inference & Cost Optimization Training Course - Booking
Deploying Tencent Hunyuan in Production: Low-Latency Inference & Cost Optimization Training Course - Enquiry
Deploying Tencent Hunyuan in Production: Low-Latency Inference & Cost Optimization - Consultancy Enquiry
Upcoming Courses
Related Courses
Advanced LangGraph: Optimization, Debugging, and Monitoring Complex Graphs
35 Hours
LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and control over execution.
This instructor-led, live training (online or onsite) is aimed at advanced-level AI platform engineers, DevOps professionals for government, and ML architects who wish to optimize, debug, monitor, and operate production-grade LangGraph systems.
By the end of this training, participants will be able to:
- Design and optimize complex LangGraph topologies for speed, cost, and scalability.
- Engineer reliability through retries, timeouts, idempotency, and checkpoint-based recovery.
- Debug and trace graph executions, inspect state, and systematically reproduce production issues.
- Instrument graphs with logs, metrics, and traces, deploy to production, and monitor SLAs and costs.
**Format of the Course**
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange.
Read more...
Building Coding Agents with Devstral: From Agent Design to Tooling
14 Hours
Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral for government applications.
By the end of this training, participants will be able to:
- Set up and configure Devstral for coding agent development.
- Design agentic workflows for codebase exploration and modification.
- Integrate coding agents with developer tools and APIs.
- Implement best practices for secure and efficient agent deployment in alignment with public sector standards.
**Format of the Course**
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange.
Read more...
Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models
14 Hours
The Devstral and Mistral models are open-source artificial intelligence technologies designed for flexible deployment, fine-tuning, and scalable integration.
This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced machine learning engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern the use of Mistral and Devstral models in production environments for government.
By the end of this training, participants will be able to:
- Set up and configure self-hosted environments for Mistral and Devstral models.
- Apply fine-tuning techniques to optimize performance for specific domains.
- Implement versioning, monitoring, and lifecycle governance practices.
- Ensure security, compliance, and responsible usage of open-source models.
**Format of the Course**
- Interactive lectures and discussions.
- Hands-on exercises in self-hosting and fine-tuning.
- Live-lab implementation of governance and monitoring pipelines.
**Course Customization Options**
- To request a customized training for government use, please contact us to arrange.
Read more...
LangGraph Applications in Finance
35 Hours
LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and control over execution.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based solutions in the finance sector, ensuring proper governance, observability, and compliance for government and private entities.
By the end of this training, participants will be able to:
- Design finance-specific LangGraph workflows aligned with regulatory and audit requirements.
- Integrate financial data standards and ontologies into graph state and tooling.
- Implement reliability, safety, and human-in-the-loop controls for critical processes.
- Deploy, monitor, and optimize LangGraph systems for performance, cost, and service level agreements (SLAs).
**Format of the Course**
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options**
- To request a customized training for government or private sector needs, please contact us to arrange.
Read more...
LangGraph Foundations: Graph-Based LLM Prompting and Chaining
14 Hours
LangGraph is a framework designed for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.
This instructor-led, live training (available online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph for government.
By the end of this training, participants will be able to:
- Explain core LangGraph concepts (nodes, edges, state) and when to use them.
- Build prompt chains that branch, call tools, and maintain memory.
- Integrate retrieval and external APIs into graph workflows.
- Test, debug, and evaluate LangGraph applications for reliability and safety.
**Format of the Course:**
- Interactive lecture and facilitated discussion.
- Guided labs and code walkthroughs in a sandbox environment.
- Scenario-based exercises on design, testing, and evaluation.
**Course Customization Options:**
- To request a customized training for this course, please contact us to arrange.
Read more...
LangGraph in Healthcare: Workflow Orchestration for Regulated Environments
35 Hours
LangGraph enables stateful, multi-actor workflows powered by LLMs with precise control over execution paths and state persistence. In healthcare, these capabilities are essential for compliance, interoperability, and building decision-support systems that align with medical workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges for government and private sector applications.
By the end of this training, participants will be able to:
- Design healthcare-specific LangGraph workflows with compliance and auditability in mind.
- Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
- Apply best practices for reliability, traceability, and explainability in sensitive environments.
- Deploy, monitor, and validate LangGraph applications in healthcare production settings.
**Format of the Course**
- Interactive lecture and discussion.
- Hands-on exercises with real-world case studies.
- Implementation practice in a live-lab environment.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange.
Read more...
LangGraph for Legal Applications
35 Hours
LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and precise control over execution.
This instructor-led, live training (available online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based solutions for government with the necessary compliance, traceability, and governance controls.
By the end of this training, participants will be able to:
- Design legal-specific LangGraph workflows that ensure auditability and compliance.
- Integrate legal ontologies and document standards into graph state and processing.
- Implement guardrails, human-in-the-loop approvals, and traceable decision paths.
- Deploy, monitor, and maintain LangGraph services in production with observability and cost controls.
**Format of the Course**
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange.
Read more...
Building Dynamic Workflows with LangGraph and LLM Agents
14 Hours
LangGraph is a framework designed for composing graph-structured workflows that support branching, tool use, memory, and controllable execution.
This instructor-led, live training (available online or on-site) is targeted at intermediate-level engineers and product teams who wish to integrate LangGraph’s graph logic with LLM agent loops to develop dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems for government.
By the end of this training, participants will be able to:
- Design graph-based workflows that coordinate LLM agents, tools, and memory.
- Implement conditional routing, retries, and fallbacks to ensure robust execution.
- Integrate retrieval mechanisms, APIs, and structured outputs into agent loops.
- Evaluate, monitor, and enhance agent behavior for reliability and safety.
**Format of the Course**
- Interactive lecture and facilitated discussion.
- Guided labs and code walkthroughs in a sandbox environment.
- Scenario-based design exercises and peer reviews.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange.
Read more...
LangGraph for Marketing Automation
14 Hours
LangGraph is a graph-based orchestration framework designed to enable conditional, multi-step workflows involving language models and tools, making it ideal for automating and personalizing content pipelines.
This instructor-led, live training (available online or onsite) is tailored for intermediate-level marketers, content strategists, and automation developers who aim to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.
By the end of this training, participants will be able to:
- Design graph-structured content and email workflows incorporating conditional logic.
- Integrate language models, APIs, and data sources for automated personalization.
- Manage state, memory, and context across multi-step campaigns.
- Evaluate, monitor, and optimize workflow performance and delivery outcomes.
**Format of the Course**
- Interactive lectures and group discussions.
- Hands-on labs focusing on implementing email workflows and content pipelines.
- Scenario-based exercises covering personalization, segmentation, and branching logic.
**Course Customization Options for Government**
To request a customized training for government agencies, please contact us to arrange.
Read more...
Le Chat Enterprise: Private ChatOps, Integrations & Admin Controls
14 Hours
Le Chat Enterprise is a private ChatOps solution designed to provide secure, customizable, and governed conversational AI capabilities for organizations. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and integrations with enterprise applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments for government use.
By the end of this training, participants will be able to:
- Set up and configure Le Chat Enterprise for secure deployments.
- Enable RBAC, SSO, and compliance-driven controls.
- Integrate Le Chat with enterprise applications and data stores.
- Design and implement governance and administrative playbooks for ChatOps.
**Format of the Course**
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange.
Read more...
Cost-Effective LLM Architectures: Mistral at Scale (Performance / Cost Engineering)
14 HoursMistral is a high-performance family of large language models optimized for cost-effective production deployment at scale.
This instructor-led, live training (online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost, specifically tailored for government applications.
By the end of this training, participants will be able to:
- Implement scalable deployment patterns for Mistral Medium 3 in a government context.
- Apply batching, quantization, and efficient serving strategies to meet public sector requirements.
- Optimize inference costs while maintaining performance for government workloads.
- Design production-ready serving topologies for enterprise and government workloads.
Format of the Course
- Interactive lecture and discussion tailored to public sector needs.
- Lots of exercises and practice relevant to government operations.
- Hands-on implementation in a live-lab environment designed for government use cases.
Course Customization Options
- To request a customized training for this course, specifically adapted for government agencies, please contact us to arrange.
Read more...
Productizing Conversational Assistants with Mistral Connectors & Integrations
14 HoursMistral AI is an open artificial intelligence platform that enables teams to develop and integrate conversational assistants into enterprise and customer-facing workflows.
This instructor-led, live training (available online or on-site) is designed for beginner to intermediate level product managers, full-stack developers, and integration engineers who wish to design, integrate, and deploy conversational assistants using Mistral connectors and integrations for government applications.
By the end of this training, participants will be able to:
- Integrate Mistral conversational models with enterprise and SaaS connectors for seamless communication.
- Implement retrieval-augmented generation (RAG) to ensure responses are well-grounded and contextually relevant.
- Design user experience (UX) patterns for both internal and external chat assistants, enhancing usability and efficiency.
- Deploy conversational assistants into product workflows for practical and real-world use cases, ensuring they meet the needs of government operations.
Format of the Course
- Interactive lecture and discussion to foster understanding and engagement.
- Hands-on integration exercises to apply concepts in a practical setting.
- Live-lab development of conversational assistants to reinforce learning through real-world scenarios.
Course Customization Options
- To request a customized training for this course, tailored specifically to government needs, please contact us to arrange.
Read more...
Enterprise-Grade Deployments with Mistral Medium 3
14 HoursMistral Medium 3 is a high-performance, multimodal large language model designed for production-grade deployment across enterprise and government environments.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimize, and secure Mistral Medium 3 for government use cases.
By the end of this training, participants will be able to:
- Deploy Mistral Medium 3 using API and self-hosted options.
- Optimize inference performance and costs.
- Implement multimodal use cases with Mistral Medium 3.
- Apply security and compliance best practices for enterprise and government environments.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Read more...
Mistral for Responsible AI: Privacy, Data Residency & Enterprise Controls
14 Hours
Mistral AI is an open and enterprise-ready artificial intelligence platform designed to provide secure, compliant, and responsible AI deployment solutions.
This instructor-led, live training (available online or on-site) is tailored for intermediate-level compliance leads, security architects, and legal/operations stakeholders who seek to implement responsible AI practices with Mistral. The training emphasizes leveraging privacy, data residency, and enterprise control mechanisms to ensure alignment with regulatory standards.
By the end of this training, participants will be able to:
- Implement privacy-preserving techniques in Mistral deployments.
- Apply data residency strategies to comply with regulatory requirements.
- Set up enterprise-grade controls such as Role-Based Access Control (RBAC), Single Sign-On (SSO), and audit logs.
- Evaluate vendor and deployment options to ensure compliance alignment.
**Format of the Course**
- Interactive lectures and discussions.
- Compliance-focused case studies and exercises.
- Hands-on implementation of enterprise AI controls.
**Course Customization Options for Government**
- To request a customized training for government, please contact us to arrange.
Read more...
Multimodal Applications with Mistral Models (Vision, OCR, & Document Understanding)
14 Hours
Mistral models are open-source AI technologies that now support multimodal workflows, enabling both language and vision tasks for enterprise and research applications.
This instructor-led, live training (online or onsite) is designed for intermediate-level ML researchers, applied engineers, and product teams who wish to develop multimodal applications using Mistral models, including OCR and document understanding pipelines.
By the end of this training, participants will be able to:
- Set up and configure Mistral models for multimodal tasks.
- Implement OCR workflows and integrate them with NLP pipelines.
- Design document understanding applications for enterprise use cases.
- Develop vision-text search and assistive UI functionalities.
**Format of the Course**
- Interactive lecture and discussion.
- Hands-on coding exercises.
- Live-lab implementation of multimodal pipelines.
**Course Customization Options for Government**
- To request a customized training for this course, tailored to specific needs and requirements, please contact us to arrange.
Read more...
