Transform agent development from an art into a systematic engineering discipline. This comprehensive course provides a complete framework for building production-grade intelligent agents through sophisticated context prompting that delivers measurable business value. Master the systematic approaches, engineering methodologies, and best practices needed to create autonomous systems that scale and perform reliably in real-world environments.
What You’ll Learn
By the end of this course, you will be able to:
- Build production-ready intelligent agents using the Six Pillars framework for systematic context prompting
- Design autonomous systems that make consistent, reliable decisions with 90-98% accuracy
- Implement comprehensive testing frameworks to validate agent behavior and ensure quality
- Deploy agents at scale with proper monitoring, safety protocols, and continuous improvement
- Measure and optimize agent performance using five-pillar quality metrics
- Navigate common pitfalls and learn from real-world agent development failures
- Lead agent development initiatives with engineering-grade methodologies
- Prepare for the future of multi-agent systems, adaptive learning, and ethical AI
Course Structure
Total Duration: 15 modules (approximately 30-35 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.
What’s Included:
- 15 comprehensive chapters (200,000+ words)
- 15+ hands-on exercises with solutions
- 3+ real-world case studies
- Complete agent development templates
- Testing frameworks and quality tools
- Lifetime course access
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