AI EngineeringPrompt Engineering
Prompt engineering in 2026 has evolved from casual trick prompts into rigorous Context Engineering and Cognitive Architecture design. This course teaches how large language models actually process tokens and attention mechanisms, how to eliminate AI hallucination, how to apply the 4 Pillars Prompt Framework (Persona, Context, Task, Constraints), how to direct Claude 3.5 Sonnet for advanced analytical logic, and how to build production-grade prompt harnesses.
About this course
Comprehensive certification training for Prompt Engineering.
What you will be able to do
- 1. Master modern LLM token prediction mechanics, attention mechanisms, and the crucial distinction between prompt wording and context engineering.
- 2. Identify and systematically eliminate the top causes of AI hallucination, ambiguity, and drift in production prompts.
- 3. Apply the 4 Pillars Prompt Framework: Persona, Context, Detailed Task, and Strict Constraints (PCTC).
- 4. Implement advanced reasoning techniques: Few-Shot In-Context Learning, Chain-of-Thought (CoT), Step-Back Prompting, and Output Schema Enforcement (JSON/XML).
Course outline
- 01Next-Generation Context Engineering & Modern LLM MechanicsFree preview
- 02 Locked
- 03 Locked
- 04 Locked
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- 06 Locked
5 lessons, the full project brief and the grading rubric unlock when you enrol.
Assessment and certificate
After the lessons you take a readiness quiz on the material. Pass it and your practical project brief is released, graded against 5 clear criteria by the Academy team.
Once your project is approved, a signed certificate with a unique verification number is issued to your account.
Requirements
- A laptop or phone with a reliable internet connection.
- No prior experience required — each course starts from the fundamentals.
- Free versions of the tools covered are enough to complete the project.