This comprehensive course teaches you how to master context engineering – the art and science of curating and managing the complete information ecosystem that AI agents work with. You’ll learn practical, prompt-based strategies to build more capable, reliable, and efficient AI systems without any coding required.
Who This Course Is For
- AI prompt engineers looking to advance their skills
- Business professionals building AI agents
- Marketing and content teams using AI tools
- Consultants implementing AI solutions for clients
- Anyone working with AI models in extended conversations
- Teams building AI-powered customer service, research, or analysis systems
What You’ll Learn
By the end of this course, you will be able to:
- Design and optimize complete context strategies for AI agents
- Manage the “attention budget” of AI models effectively
- Write minimal, high-signal system prompts at the right altitude
- Design token-efficient tool descriptions
- Implement context compaction strategies using only prompts
- Create structured note-taking systems for AI memory
- Architect multi-agent systems for complex tasks
- Troubleshoot context-related performance issues
- Build agents that maintain coherence over long conversations
- Optimize context for cost efficiency and performance
Course Structure
Total Duration: 12 modules (approximately 20-25 hours of learning)
Prerequisites
- Basic understanding of how to use AI language models (like ChatGPT, Claude, etc.)
- No coding experience required
- Familiarity with prompting AI models is helpful but not required.
This comprehensive course includes:
✅ 12 detailed modules covering every aspect of context engineering
✅ 340+ KB of expert-level content
✅ 25+ hours of study material
✅ 60+ hands-on exercises with real-world scenarios
✅ 50+ ready-to-use prompts and templates
✅ 100+ practical examples from actual use cases
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