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Duration 14 hours
Course Outline
Enterprise AI Agents with Tencent ADP
- Defining the value proposition of enterprise AI agents and their strategic impact.
- Leveraging Tencent ADP capabilities for agent development, knowledge integration, and workflow automation.
- Distinguishing between agent-based solutions and standard chat applications.
- Identifying common enterprise use cases and key delivery considerations.
Designing Agents for Business Processes
- Establishing clear agent roles, boundaries, inputs, and outputs.
- Evaluating single-agent versus multi-agent architectural approaches.
- Structuring prompts, tools, and embedded business rules effectively.
- Planning for escalation paths, human review, and system reliability.
Building RAG and Knowledge Workflows
- Applying RAG concepts to ensure grounded answers and secure access to enterprise knowledge.
- Preparing documents, policies, and internal content for effective retrieval.
- Designing retrieval flows and response grounding patterns.
- Iteratively testing and refining answer quality over time.
Orchestrating Workflows and Integrations
- Translating business processes into structured agent workflows.
- Connecting agents to APIs, internal services, and broader enterprise systems.
- Managing decision logic, approvals, retries, and fallback mechanisms.
- Coordinating handoffs between workflow steps and specialized agents.
Applying Operational Guardrails
- Implementing guardrails for security, privacy, compliance, and policy enforcement.
- Mitigating risks associated with unsafe output, prompt injection, and data exposure.
- Incorporating approval checkpoints, audit trails, and strict access controls.
- Designing safe response patterns for high-impact business scenarios.
Monitoring, Evaluation, and Continuous Improvement
- Tracking key performance indicators such as quality, latency, cost, and workflow success rates.
- Testing agent behavior across realistic business scenarios.
- Troubleshooting common issues in RAG, workflows, and orchestration.
- Developing a strategic implementation plan for pilot testing and production adoption.
Requirements
- Fundamental understanding of generative AI concepts and typical enterprise AI applications.
- Practical experience with APIs, web applications, or cloud-based platforms.
- Basic proficiency in programming, integration, or solution design.
Target Audience
- Solution architects and technical leads.
- AI engineers, application developers, and automation specialists.
- Product managers and innovation teams driving enterprise AI initiatives.
