LLM Training Services Statement of Work
Updated at：2025-09-02
1. Service Overview
The LLM training services of Baidu AI Cloud International aim to help governments and enterprises gain a deeper understanding of the LLM industry, generative AI theoretical knowledge, and LLM application development skills, ultimately enabling them to better discover new LLM application scenarios, build LLM application R&D teams, and implement AI-native applications that empower their businesses.
2. Service Scope
The service includes:
- On-site standard LLM training courses by Baidu AI Cloud International;
- Enterprise trainee capability assessment, training objective investigation, training plan customization, and on-site training;
- Training venues can be provided by the client or the Baidu AI Cloud International.
The service excludes:
- Solutions design and code development for actual business cases during training;
- The following courses are temporarily unavailable for online training.
3. Service Content
| Course Type | Course Name | Course Objectives | Course Contents | Training Hours |
|---|---|---|---|---|
| General Training | "Fundamental Principles: From Machine Learning to AIGC" | To support project initiation and decision-making by focusing on the large language model (LLM), integrating case studies, and systematizing theoretical foundations, technological trends, and industry applications. | Core principles of machine learning and deep learning Core principles of LLM Distributed training of LLM Knowledge distillation (compression) of LLM Application scenarios and case studies of LLM Multimodal and MOE technologies Case sharing of AIGC-based products |
8 |
| Practical Training | "Technical Practice: LLM Training, Tuning and Engineering Architecture" | To explain LLM training, tuning and application development, based on AI foundational logic, technical architecture, and the Qianfan LLM Platform. | Brief introduction to deep learning Introduction to the Transformer model and Attention mechanism Overview of LLM technology (principles + demonstration) Distributed training of LLM Full-process SFT case practice based on the Qianfan training platform Prompt engineering design techniques Key points of architecture design in retrieval-augmented technology Key points of architecture design in agent technology Case explanation of typical application scenarios Case practice based on the Qianfan AppBuilder |
16 |
| Practical Training | "Qianfan Practice": LLM Application Development Practice. | To familiarize trainees with the architecture and functions of the Qianfan LLM Platform, plus stratified and progressive operational practice drills based on the Platform. | Introduction to the architecture and features of Qianfan products Introduction to Qianfan prompt templates and tuning practices Explanation and practices of the Qianfan model training features Explanation and case practice of the Qianfan model evaluation functions Explanation and case practice of the Qianfan plugin technology Explanation of the showroom function on the Qianfan platform Explanation of Qianfan SDK and API Explanation and case practice of the Qianfan RAG features Explanation and case practice of the Qianfan agent functions |
16 |
| Real-case Training | "Workshop: LLM Training, Tuning and Application Practice" | Trainees are organized into groups and allowed to select their preferred scenarios, after which they can design, develop, and assess LLM-native applications with the teacher's guidance. | LLM application development paradigms for production environments Introduction to tools for LLM application development Review of Qianfan platform usage Trainee grouping and open discussion on scenario design Application development practice based on prompt tuning Enhancing application effectiveness via model fine-tuning Development practice of RAG application Development practice of agent application Final project presentation and assessment |
24 |
4. Service Process
4.1 Prerequisites
- This training service is exclusively available to Baidu AI Cloud International's customers, who will receive service support after purchasing the service on Baidu AI Cloud International;
- After Baidu AI Cloud International undertakes the service, the customer shall provide necessary resources and equipment, including office facilities, data processing and communication facilities required for service execution, and non-confidential information of participants in the capability enhancement plan;
- The customer should apply for the service at least 15 business days in advance to allow Baidu AI Cloud International to evaluate the feasibility of the customer's business objectives and timeline, and determine whether to approve the service application;
- If the training service requested by the customer is not included in the standard course scope, it is recommended that the customer apply at least 1 month in advance.
4.2 Process Descriptions
| Service Phase | Service Items | What the Customer Need to Do | What the Baidu AI Cloud International Will Do | Deliverables |
|---|---|---|---|---|
| Service Application | Service Application | Log in to Baidu AI Cloud International and submit the "Training Service Application Form" | Confirm service application requirements;Create a "Training Plan" and provide it to the customer. | "Training Plan" |
| Service Payment | Review and confirm the "Training Plan" via email;Log in to the Baidu AI Cloud International to pay for the training service order. | Provide online support for the customer regarding the training service order payment. | / | |
| Service Preparation | Service Preparation | Organize trainees to complete the pre-training survey questionnaire for LLM training;Prepare the training venue and equipment as needed. | Collect and analyze the questionnaires;Prepare pre-training content and assign instructors;Prepare the training venue and equipment as needed. | "Pre-Training Survey Results" |
| Service Delivery | Service Delivery | Organize daily sign-in for trainees;Organize the management of participants and personnel involved;Organize trainees to complete the training satisfaction survey. | Provide the "Bound Volume of Training Courseware";Provide "Electronic Version of Training Courseware";Conduct training according to the "Training Plan";Complete the "Training Service Report". | "Training Attendee Sign-in Sheet";"Bound Volume of Training Courseware";"Training Satisfaction Survey Results";"Training Service Report". |
| Service Acceptance | Service Acceptance | Review the "Training Service Report"; log in to Baidu AI Cloud International's official website to confirm acceptance online (or via email). | Upload the "Training Service Report" to the Baidu AI Cloud International's official website;Contact the customer for online acceptance confirmation. | / |
5. Service Level Agreement (SLA)
- After the customer submits a service application on Baidu AI Cloud International, the expert service team will evaluate the feasibility of the application and determine the delivery timeline within 10 business days, and ultimately provide the customer with the "Training Plan";
- Complete the training service within the "Training Plan" timeframe collaborated with the customer;
- Upload the "Training Service Report" within 2 business days after training completion.
6. Responsibilities of Customer
Fulfill the customer's responsibilities in accordance with the customer's work instructions for each phase specified in Section 4.2.
- Review the "Training Plan" prepared by Baidu AI Cloud International, provide written confirmation within 5 business days, and complete the online order payment 10 business days before the scheduled training date;
- Review the "Training Service Report" prepared by Baidu AI Cloud International and complete the online acceptance within 5 business days.
7. Responsibilities of Baidu AI Cloud International
Fulfill the responsibilities of Baidu AI Cloud International in accordance with the work instructions for each phase specified in Section 4.2.
- Understand the customer's business objectives and scope, develop the "Training Plan" based on mutually agreed and confirmed specific business goals and scope, and obtain the customer's written (including but not limited to email) confirmation;
- Responsible for organizing and effectively managing expert instructors, teaching assistants, and other service personnel required for the training service under this contract;
- Ensure that Baidu AI Cloud International carefully customizes service contents according to the customer's empowerment needs and requirements, guarantees training quality, and helps customers enhance their participants' professional capabilities;
- During the training, staff from Baidu AI Cloud International shall arrive on time at the designated venue, ensure high-quality teaching, archive sign-in sheets and on-site photos, and prepare all necessary materials in advance;
- After training, provide clients with relevant materials such as sign-in sheets and on-site photos required for acceptance and settlement.
8. Completion Criteria
Upon completion of the following tasks, the training service will be deemed completed.
- Baidu AI Cloud International submits the "Training Service Report" to the customer, and the customer can log in to download and review the report;
- If there are no objections, the client should confirm service acceptance on the Baidu AI Cloud International's official website within 5 business days. If it is not confirmed within 5 business days, it will be deemed as acceptance by default.