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Duration 14 hours
Course Outline
Enterprise AI Agents using Tencent ADP
- The definition of enterprise AI agents and their value proposition
- Tencent ADP features for agent development, knowledge integration, and workflow automation
- Distinguishing agent-based solutions from basic chat applications
- Common enterprise use cases and delivery considerations
Designing Agents for Business Processes
- Defining agent roles, limits, inputs, and outputs
- Selecting between single-agent and multi-agent architectures
- Structuring prompts, tools, and business rules
- Planning for escalation, human oversight, and system reliability
Building RAG and Knowledge Workflows
- RAG principles for grounded answers and enterprise knowledge access
- Preparing documents, policies, and internal content for retrieval
- Designing retrieval flows and response grounding patterns
- Iterating and improving answer quality over time
Orchestrating Workflows and Integrations
- Translating business processes into agent workflows
- Integrating agents with APIs, internal services, and enterprise systems
- Managing decisions, approvals, retries, and fallback mechanisms
- Coordinating handoffs between workflow steps and specialized agents
Implementing Operational Guardrails
- Guardrails for security, privacy, compliance, and policy enforcement
- Mitigating risks from unsafe output, prompt injection, and data exposure
- Incorporating approval checkpoints, audit trails, and access controls
- Crafting safe response patterns for high-impact business scenarios
Monitoring, Evaluation, and Continuous Improvement
- Tracking metrics such as quality, latency, cost, and workflow success
- Testing agent behavior against realistic business scenarios
- Debugging common issues related to RAG, workflows, and orchestration
- Developing an implementation plan for pilot and production rollout
Requirements
- A solid 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 leads
- AI engineers, application developers, and automation specialists
- Product managers and innovation teams involved in enterprise AI projects
