Certified Prompt Engineering Specialist (C-PES) Certification Program by Tonex
The C-PES program equips professionals to design, chain, and optimize prompts for leading LLMs, including ChatGPT, Claude, LLaMA, and Gemini. You will learn repeatable patterns, evaluation methods, and orchestration techniques that turn ad-hoc prompting into reliable systems.
The course emphasizes measurable quality, cost control, and governance so teams can scale responsibly. You will practice building multi-step workflows, integrating tool/function calling, and setting guardrails that align outputs with business goals.
Cybersecurity is a core thread. Participants learn to defend against prompt injection and jailbreak attempts, minimize data exposure, and implement auditable workflows that meet regulatory expectations. By the end, graduates can translate requirements into robust prompt architectures, validate outcomes with clear rubrics, and maintain living prompt libraries across products and teams.
Learning Objectives:
- Apply prompt patterns for clarity, control, and fidelity
- Optimize prompts for quality, latency, and cost
- Build multi-turn chains and agent workflows
- Implement evaluation rubrics and golden sets
- Mitigate hallucinations and safety risks
- Operationalize governance, versioning, and change control
Audience:
- Prompt engineers and AI practitioners
- Product managers and solution architects
- Data scientists and ML engineers
- Cybersecurity Professionals
- Compliance and risk officers
- Technical leaders and consultants
Program Modules:
Module 1: Foundations of Prompt Engineering
- Model capabilities and limits across major LLMs
- Roles, system prompts, and context windows
- Prompt taxonomies: instruct, style, tool-use, safety
- Debugging workflows and iterative refinement
- Guardrails and alignment basics
- Ethical and responsible use principles
Module 2: Prompt Design & Optimization
- Instruction design patterns and templates
- Few-shot selection and exemplar curation
- Chain-of-thought alternatives (self-consistency, scaffolding)
- Structured outputs with JSON/XML schemas
- Retrieval-augmented prompting strategies
- Offline/online prompt evaluation metrics
Module 3: Chaining & Orchestration
- ReAct and plan-and-execute patterns
- Multi-turn state and memory management
- Function/tool calling and schema design
- Router, planner, and supervisor agents
- Frameworks and lightweight orchestrators
- Fallbacks, retries, and circuit breakers
Module 4: Testing & Quality Assurance
- Golden sets, rubrics, and regression suites
- A/B testing and comparative judgments
- Hallucination detection and mitigation tactics
- Red teaming prompts and abuse testing
- Safety filters and policy conformance checks
- Telemetry, prompt versioning, and rollbacks
Module 5: Security, Privacy & Compliance
- Prompt injection and jailbreak defenses
- Data minimization and PII handling patterns
- Threat modeling for LLM applications
- Content provenance and audit trails
- Access control and least-privilege principles
- Incident response for prompt failures
Module 6: Deployment & PromptOps
- Template management and secret handling
- Environment-specific configuration and routing
- Cost, latency, and throughput trade-offs
- Monitoring, drift detection, and alerts
- Governance and change management workflows
- Documentation, playbooks, and SLOs
Exam Domains:
- Prompt Engineering Theory and Taxonomy
- Evaluation and Benchmarking Methods
- LLM Safety, Security, and Governance
- Multi-Agent and Tool-Enabled Workflows
- Productionization and Operations of LLM Systems
- Ethics, Risk, and Regulatory Considerations
Course Delivery:
The course is delivered through lectures, interactive discussions, practical workshops, and project-based learning led by Tonex experts in Certified Prompt Engineering Specialist (C-PES). Participants gain access to online resources, curated readings, case studies, and tools for structured exercises.
Assessment and Certification:
Participants are assessed via quizzes, graded assignments, and a capstone project. Upon successful completion, participants receive the Certified Prompt Engineering Specialist (C-PES) certificate from Tonex.
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the Certified Prompt Engineering Specialist (C-PES) Certification Training exam, candidates must achieve a score of 70% or higher.
Ready to lead with reliable prompting? Enroll today. Bring your team, align your workflows, and ship trusted AI—safely and at scale.