Build, attack, and secure real-world LLM apps with RAG, tool calling, memory, AI agents, and Python.
InstructorArjun VaidComidoc has tracked 14 coupons for this course since 2026, last checked 4d ago. On average, a new coupon appears roughly every 9 days.
| Coupon code | Discount | Added | Status | Lifetime |
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| Coupon codeNOVFREE03 | Discount100% off | Added | StatusFully redeemed | Lifetime7d 20h |
| Coupon codePACKTFREE | Discount100% off | Added | StatusExpired | Lifetime22d 18h |
| Coupon codeOCTFREE02 | Discount100% off | Added | StatusExpired | Lifetime~30 daysRan full term |
| Coupon codeOCTFREE01 | Discount100% off | Added | StatusExpired | Lifetime~30 daysRan full term |
| Coupon codeSEPTFREE02 | Discount100% off | Added | StatusExpired | Lifetime~31 daysRan full term |
| Coupon codeSEPTFREE01 | Discount100% off | Added | StatusExpired | Lifetime30d 13h |
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The curriculum covers a wide range of attack vectors including prompt injection, RAG context poisoning, tool parameter injection, and persistent memory manipulation.
Instruction includes practical defense mechanisms such as source validation, context isolation, and human-in-the-loop approval workflows for autonomous agents.
No substantive learner reviews are available to verify the effectiveness of the teaching style or the clarity of the technical explanations.
The technical requirements for Python and the focus on LLM security align well with the declared target audience of developers and AI engineers.
