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Master Prompt Engineering
Learn to craft powerful prompts that unlock the full potential of AI. From fundamentals to advanced techniques, across 32 focused sessions.
32 Sessions
Certification
Exemplary Feedbacks
Prompt Engineering
32 Sessions
Growing Demand
5x
Templates
50+
Prerequisites
Basic understanding of AI & ChatGPT
No coding experience required
Interest in AI applications
What You'll Learn
Craft highly effective prompts for any LLM
Apply advanced techniques (CoT, few-shot, ReAct)
Design system prompts & AI guardrails
Build domain-specific prompt templates
Evaluate & optimize prompt performance
Create AI-powered automations & workflows
Learning Roadmap
AI & LLM Foundations
Session no. 1-4
Prompt Fundamentals
Session no. 5-10
Advanced Techniques
Session no. 11-18
Domain-Specific Prompting
Session no. 19-24
Evaluation & Optimization
Session no. 25-28
Building with Prompts
Session no. 29-32
Detailed Syllabus
Module 1: AI & LLM Foundations
4 sessionsHow LLMs work (simplified)Tokenization & context windowsModel capabilities & limitationsChoosing the right model (GPT, Gemini, Claude)
Module 2: Prompt Fundamentals
6 sessionsAnatomy of a good promptRole-based promptingInstruction clarity & specificityOutput formatting & constraints
Module 3: Advanced Techniques
8 sessionsChain-of-thought (CoT) promptingFew-shot & zero-shot strategiesReAct & self-consistencyPrompt chaining & decomposition
Module 4: Domain-Specific Prompting
6 sessionsContent writing & marketingCode generation & debuggingData analysis & researchEducation & customer support
Module 5: Evaluation & Optimization
4 sessionsPrompt testing frameworksA/B testing promptsMeasuring quality & consistencyIterative refinement strategies
Module 6: Building with Prompts
4 sessionsAI-powered workflow automationIntegrating prompts into applicationsPrompt management & versioningCapstone: Build an AI workflow