Course Includes:
- Price: FREE
- Enrolled: 6759 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
Coupon verified 06:11 AM (updated every 10 min)
Course Folder
What You'll Learn
- Design robust
- production-ready prompts by applying structured prompt engineering principles
- including constraint design
- grounding strategies.,Evaluate and optimize prompt performance scientifically using accuracy
- consistency
- latency
- and cost metrics
- rather than relying on intuition or trial.,Run A/B tests and regression tests for prompts to compare prompt variants
- identify performance improvements
- and prevent silent regressions over time,Debug common prompt failure patterns such as hallucinations
- instruction drift
- prompt injection
- and misalignment
- using systematic refinement workflows,Implement safety
- fairness
- and misuse-prevention strategies by designing prompts that reduce bias amplification
- resist jailbreak attempts.,What are the requirements or prerequisites for taking your course? List the required skills
- experience.
Requirements
- Basic familiarity with AI or large language models (LLMs) (for example
- having used tools like ChatGPT
- Copilot
- or similar),General technical literacy
- such as comfort working with software tools
- dashboards
- or documentation,Curiosity about how AI systems behave in real-world applications and a willingness to experiment and test prompts
Description
“This course contains the use of artificial intelligence”
Modern AI systems don’t fail because models are weak—they fail because prompts are poorly designed, untested, unsafe, or unmanaged. This course teaches you how to move beyond trial-and-error prompt writing and adopt a systematic, engineering-driven approach to prompt design, testing, safety, and optimization.
You will learn how to treat prompts as production artifacts, applying the same rigor used in software engineering: versioning, A/B testing, regression testing, safety checks, and continuous improvement. Through hands-on labs, real-world examples, and structured experiments, you’ll see how small prompt changes can dramatically impact accuracy, cost, latency, safety, and reliability.
This course goes deep into prompt evaluation frameworks, showing you how to measure correctness, consistency, hallucination rates, refusal behavior, and cost per correct answer—the metrics that actually matter in production systems. You’ll build dataset-driven evaluation pipelines, design prompt variants, and run controlled A/B tests instead of relying on intuition or “what sounds good.”
You’ll also learn how to design robust and secure prompts that resist prompt injection, jailbreaks, bias amplification, and misuse. Dedicated sections focus on defensive prompt strategies, input sanitization concepts, neutrality and constraint design, and Responsible AI principles used in real enterprise systems.
Finally, the course introduces Human-in-the-Loop prompting, where you’ll design workflows for review, approval, confidence scoring, and escalation, ensuring safe deployment in high-risk or regulated environments.
Throughout the course, you will work with hands-on tests, prompt debugging exercises, real failure cases, regression suites, and continuous experimentation loops—giving you practical skills you can apply immediately in your own AI products.
By the end of this course, you won’t just write better prompts—you’ll know how to engineer, test, secure, and scale them with confidence.
Who this course is for:
- AI practitioners and prompt engineers who want to evaluate
- optimize
- and version prompts using engineering-grade methods rather than intuition,Product managers and AI product owners responsible for shipping AI features that must be accurate
- cost-effective
- safe
- and compliant,Software engineers and data engineers integrating LLMs into applications who need reproducible testing
- regression protection
- and monitoring,Data scientists and ML engineers looking to apply experimentation
- A/B testing
- and evaluation frameworks to prompt-driven systems,UX designers
- analysts
- and researchers working with AI outputs who need consistency
- fairness
- and predictable behavior,Students and early-career professionals who want practical
- industry-aligned skills in modern AI system design,Founders and technical leaders building AI-powered products and seeking to reduce risk
- cost
- and unexpected failures in production
Recommended Courses
Natural Language Processing, AI Engineers & Data Scientists
FREE
Learn classical NLP, embeddings, transformers, and evaluation techniques beyond large language models
Enrolled
Guía de Ingresos Pasivos con IA y Automatización
FREE
Domina la IA, la automatización y estrategias digitales para crear múltiples ingresos pasivos desde cero.
Enrolled
Full-Stack AI Engineer 2026–Machine Learning Foundations - I
FREE
Build strong Machine Learning foundations with Python, real projects, and a Full-Stack AI Engineer mindset
Enrolled
ChatGPT for Real-World Applications: From Prompts to Product
FREE
Design, integrate, and deploy ChatGPT systems for real business and production use
Enrolled
Agentic AI for Product Owners: Strategy & Solutions
FREE
Master Agentic AI concepts for product owners—learn to scope, pitch, and communicate AI agent solutions without coding
Enrolled
PGD in Fire Safety and Emergency Management
FREE
Master Fire Risk Assessment, Emergency Response Planning, Evacuation Protocols, and Regulatory Compliance.
Enrolled
Mastering AI on AWS: Training AWS Certified AI-Practitioner
FREE
Building AI and Machine Learning Solutions with AWS Services: From Fundamentals to Certification Success(AI)
Enrolled
School of AI Certified Solutions Architect (Associate)
FREE
Master AWS cloud design, high availability, and secure architectures to become a certified Solutions Architect
Enrolled
Mastering Context Design for Intelligent AI Agents
FREE
Learn how to design smarter, effective AI agents using the 6 essential context types: Instructions, Memory, Tools & more
EnrolledPrevious Courses
AI Engineer 2026 Complete Course, GEN AI, Deep, Machine, LLM
FREE
Master Machine Learning, Deep Learning, LLMs & AI Systems with hands-on, real-world projects
Enrolled
Full Stack AI Engineer 2026 - Generative AI & LLMs III
FREE
Build production-ready generative AI systems using LLMs, RAG, agents, and full-stack engineering practices
Enrolled
Generative AI Bootcamp 2026: ChatGPT, LLMs, Prompting
FREE
Learn Generative AI from scratch — build chatbots, master prompts, understand RAG, embeddings & AI application
Enrolled
Base44 Mastery: Build Enterprise AI Workflow Automations
FREE
Learn to automate HR, IT, Finance, Marketing & Compliance using Base44 with Slack, Notion, and Google Workspace integrat
Enrolled
Passive Income Playbook: AI Tools, Automation & More
FREE
Master AI tools, automation workflws, and proven digital strategies to build multple passive income streams from scratch
Enrolled
Full Stack AI Engineer 2026 - Deep Learning - II
FREE
Build production-ready deep learning models using PyTorch, with strong foundations, hands-on labs, and real-world engine
Enrolled
The Ultimate AI Engineer Job Preparation Course (2026)
FREE
Build real AI systems, ace interviews, and land high-impact AI engineering roles
Enrolled
Neural Signal Processing & Applied AI
FREE
Learn to analyze neural signals using machine learning and deep learning techniques
Enrolled
The Ultimate Trading & Wealth Mastery Program
FREE
Master stocks, options, futures, forex, crypto, and long-term wealth systems—from fundamentals to pro-level strategies.
Enrolled