LLMs in Multimodal Applications Training Course
Combining various data modalities, such as text, images, and audio, represents the cutting edge of Large Language Model (LLM) applications, paving the way for more holistic and context-sensitive AI systems.
This instructor-led, live training (available online or onsite) is designed for intermediate-level data scientists, machine learning engineers, and software developers who wish to apply Large Language Models (LLMs) to multimodal data to build advanced AI solutions.
By the end of this training, participants will be able to:
- Grasp the fundamental principles of multimodal learning using LLMs.
- Implement LLMs to process and analyze text, image, and audio data.
- Develop applications that capitalize on the strengths of integrated multimodal data.
- Evaluate the performance of multimodal LLM systems.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation within 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.
Duration 14 hours
Course Outline
Introduction to Multimodal Learning
- Overview of multimodal AI
- Challenges in multimodal data processing
- Benefits of multimodal LLMs
Understanding Large Language Models
- Architecture of state-of-the-art LLMs
- Training LLMs with multimodal data
- Case studies: Successful multimodal LLM applications
Processing Multimodal Data
- Data preprocessing techniques for text, image, and audio
- Feature extraction and representation learning
- Integrating multimodal data in LLMs
Developing Multimodal LLM Applications
- Designing user interfaces for multimodal interaction
- LLMs in virtual assistants and chatbots
- Creating immersive experiences with LLMs
Evaluating and Optimizing Multimodal Systems
- Performance metrics for multimodal LLMs
- Optimization strategies for better accuracy and efficiency
- Addressing bias and fairness in multimodal systems
Hands-on Lab: Building a Multimodal LLM Project
- Setting up a multimodal dataset
- Implementing a multimodal LLM for a specific use case
- Testing and refining the system
Summary and Next Steps
Requirements
- An understanding of machine learning and neural networks
- Experience with Python programming
- Familiarity with data preprocessing for various data types (text, image, audio)
Audience
- Data scientists
- Machine learning engineers
- Software developers
- Researchers focusing on AI and natural language processing
Open Training Courses require 5+ participants.
LLMs in Multimodal Applications Training Course - Booking
LLMs in Multimodal Applications Training Course - Enquiry
LLMs in Multimodal Applications - Consultancy Enquiry
Upcoming Courses
Related Courses
Advanced LangGraph: Optimization, Debugging, and Monitoring Complex Graphs
35 Hours
This instructor-led live training in Taiwan is designed for advanced AI platform engineers, DevOps for AI, and ML architects looking to optimize, debug, monitor, and operate production-grade LangGraph systems that model stateful, multi-actor LLM applications as composable graphs.
Read more...
Building Coding Agents with Devstral: From Agent Design to Tooling
14 Hours
Gain proficiency with Devstral through this live training session held in Taiwan. The curriculum covers architecture, agentic workflow design, and tool integration. Ideal for advanced engineers, the course utilizes hands-on labs to construct coding agents that enhance both productivity and security within modern development environments.
Read more...
Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models
14 Hours
This instructor-led training in Taiwan is tailored for ML engineers seeking to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will gain practical insights into governance, monitoring, and compliance techniques, enabling them to deploy open-source AI with confidence in production environments.
Read more...
LangGraph Applications in Finance
35 Hours
This instructor-led program in Taiwan empowers professionals to construct LangGraph-based financial solutions. Learners will acquire the skills to implement workflows that adhere to regulatory standards, integrate data norms, and deploy systems featuring robust governance, observability, and compliance mechanisms.
Read more...
LangGraph Foundations: Graph-Based LLM Prompting and Chaining
14 Hours
This instructor-led LangGraph Essentials course in Taiwan empowers developers to construct graph-based LLM applications. You will master core concepts such as nodes, edges, state management, and branching logic. The curriculum covers integrating tools, retrieval mechanisms, and external APIs, culminating in the testing and deployment of reliable workflows through practical, hands-on labs.
Read more...
LangGraph in Healthcare: Workflow Orchestration for Regulated Environments
35 Hours
Discover LangGraph applications in healthcare through this live training in Taiwan, specifically curated for intermediate to advanced professionals. Master the design of stateful, compliant workflows, learn to integrate standards such as FHIR and SNOMED CT, and address ethical and operational complexities within regulated environments.
Read more...
LangGraph for Legal Applications
35 Hours
Gain mastery in LangGraph for legal applications through this 35-hour instructor-led training in Taiwan. Designed for intermediate to advanced professionals, the course addresses workflow design, compliance controls, and human-in-the-loop approvals. Create auditable, production-ready LLM solutions with confidence.
Read more...
Building Dynamic Workflows with LangGraph and LLM Agents
14 Hours
This live course, offered online or onsite in Taiwan, guides intermediate engineers through the process of building dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement branching logic, and integrate retrieval, APIs, and memory to create robust, context-aware applications.
Read more...
LangGraph for Marketing Automation
14 Hours
This instructor-led training on Taiwan introduces the application of LangGraph in marketing automation. Participants will acquire the skills to design conditional content workflows, integrate LLMs for creating personalized email campaigns, and manage state across multi-step pipelines, thereby gaining practical expertise for modern marketing strategies.
Read more...
Le Chat Enterprise: Private ChatOps, Integrations & Admin Controls
14 Hours
This live training in Taiwan explores Le Chat Enterprise, a private ChatOps platform for secure and governed conversational AI. Participants will learn to deploy, configure, and integrate the solution with enterprise applications, facilitating RBAC, SSO, and compliance-focused controls to build scalable, secure AI workflows.
Read more...
Cost-Effective LLM Architectures: Mistral at Scale (Performance / Cost Engineering)
14 Hours
Gain proficiency in cost-efficient Mistral LLM architectures through this 14-hour live training in Taiwan. Acquire the skills to deploy, optimize, and scale Mistral Medium 3 for peak throughput and minimal cost, leveraging batching, quantization, and efficient serving strategies to handle enterprise workloads.
Read more...
Productizing Conversational Assistants with Mistral Connectors & Integrations
14 Hours
This live training in Taiwan focuses on embedding Mistral conversational assistants into enterprise workflows. Participants will gain the skills to connect SaaS tools, implement retrieval-augmented generation, and craft effective UX patterns for both customer-facing and internal chat interfaces.
Read more...
Enterprise-Grade Deployments with Mistral Medium 3
14 Hours
This instructor-led training in Taiwan empowers advanced AI engineers to deploy and secure Mistral Medium 3. Participants will learn to optimize inference costs, build multimodal applications, and apply enterprise-grade compliance protocols. The curriculum includes hands-on labs covering both API and self-hosted setups.
Read more...
Mistral for Responsible AI: Privacy, Data Residency & Enterprise Controls
14 Hours
This live Mistral Responsible AI training in Taiwan is specifically tailored for compliance and security professionals. Participants will gain mastery over privacy-preserving methods, data residency strategies, and enterprise controls like RBAC and SSO to guarantee secure and compliant AI deployment.
Read more...
Multimodal Applications with Mistral Models (Vision, OCR, & Document Understanding)
14 Hours
Master the construction of multimodal applications with Mistral models, concentrating on OCR, document comprehension, and vision-text retrieval. This practical course covers pipeline development, NLP integration, and enterprise-ready architecture, available online or at Taiwan.
Read more...
