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Duration 14 hours
Course Outline
Enterprise AI Agents with Tencent ADP
- The nature of enterprise AI agents and the value they deliver
- Tencent ADP features for agent development, knowledge integration, and workflow automation
- Distinguishing agent-based solutions from standard chat applications
- Typical enterprise use cases and key delivery factors
Designing Agents for Business Processes
- Establishing agent roles, limitations, inputs, and outputs
- Selecting between single-agent and multi-agent architectures
- Organizing prompts, tools, and business rules
- Planning for escalation, human oversight, and system reliability
Developing RAG and Knowledge Workflows
- RAG principles for grounded responses and enterprise knowledge access
- Preparing documents, policies, and internal content for retrieval
- Designing retrieval flows and response grounding techniques
- Evaluating and refining answer quality over time
Coordinating Workflows and Integrations
- Translating business processes into agent workflows
- Linking agents to APIs, internal services, and enterprise systems
- Managing decisions, approvals, retries, and fallback mechanisms
- Facilitating handoffs between workflow steps and specialized agents
Implementing Operational Safeguards
- Safeguards for security, privacy, compliance, and policy enforcement
- Mitigating risks from unsafe output, prompt injection, and sensitive data leaks
- Introducing approval checkpoints, audit logs, and access controls
- Creating safe response patterns for high-stakes business scenarios
Monitoring, Evaluation, and Continuous Improvement
- Monitoring quality, latency, costs, and workflow success metrics
- Assessing agent behavior across realistic business scenarios
- Resolving common RAG, workflow, and orchestration challenges
- Formulating an implementation strategy for pilot and production rollout
Requirements
- A foundational grasp of generative AI concepts and typical enterprise AI applications
- Practical experience with APIs, web applications, or cloud-based platforms
- Foundational skills in programming, integration, or solution design
Target Audience
- Solution architects and technical leaders
- AI engineers, application developers, and automation specialists
- Product managers and innovation teams driving enterprise AI initiatives
