ECERTP USA
AI Prompt Engineering Practitioner

Course Description
Take your AI skills to the next level with the AI Prompt Engineering Practitioner Certification—a 2-week intensive, hands-on program for professionals who have completed the Foundation course. Master advanced prompt engineering techniques, work directly with APIs from OpenAI’s ChatGPT, Google AI, and Anthropic’s Claude, and build real-world, enterprise-ready AI solutions. Through case studies and practical projects, you’ll design multi-step, optimized prompts for business, creative, and technical applications, learning to boost productivity, drive innovation, and scale AI workflows. By the end, you’ll have a portfolio of deployable AI projects that demonstrate mastery in applying AI to real-world challenges.
Course Outline
Module 1: Advanced Prompting Techniques
- Deep dive into advanced prompt patterns (Chain-of-Thought, ReAct, Tree of Thought)
- Multi-step reasoning prompts
- Iterative prompt refinement for complex tasks
- Techniques for creative, analytical, and technical domains
Module 2: Prompt Engineering for APIs
- Working with OpenAI, Google AI, and Claude APIs
- Automating workflows with API calls
- Designing prompts for programmatic applications
- Rate-limiting, error handling, and scaling best practices
Module 3: Multimodal & Cross-Platform Prompting
- Combining text, code, and image prompts
- Generating outputs across multiple AI platforms simultaneously
- Integration with enterprise tools and productivity apps
Module 4: Evaluation & Optimization for Enterprise
- Measuring prompt performance: accuracy, efficiency, creativity
- Prompt debugging, A/B testing, and iterative improvement
- Enterprise considerations: governance, compliance, scalability
Module 5: Domain-Specific Advanced Applications
- Advanced business applications: automation, decision support, content generation
- Technical applications: coding, data analysis, and AI-assisted development
- Creative applications: storytelling, multimedia generation, and innovation projects
Module 6: Case Study & Project Work
- Real-world AI project or case study simulating an enterprise scenario
- Learners design end-to-end prompt workflows
- Incorporating APIs, multi-step prompting, and optimization strategies
- Final deliverable includes a portfolio-ready solution demonstrating practical, deployable AI outputs