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Deep Agent - Multi Agent RAG with Gemini and Langchain
Langchain v1 AI Agents, Multi-Modal Deep Agents, Multi Agent Deep Advanced RAG, Google Gemini 3, Qdrant, Docker, Docling. this is applicable to RAG Udemy discount offers.
by KGP Talkie | Laxmi Kant · ⭐ 4.7 via Udemy · 3,037 students · English
$9.99$149.9993% OFF
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✓ 93% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since August 1, 2026 to August 1, 2026. Red dot = current price ($9.99) — CoursesWyn records the price on each sync.
Current price
$9.99
Original price
$149.99
Tracked since
August 1, 2026
Last checked
Aug 1
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on August 1, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
7.7
/ 10
Discount depth
93%
Udemy rating
4.7 / 5
Popularity
3,037 students
Tracking length
7 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Aug 1, 2026Listed by CoursesWyn — price recorded at $9.99Listed
Aug 1, 2026Coupon checked — checkout price $9.99 · listed until Aug 5Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | August 1, 2026 |
| Level | All Levels |
| Content | 20 hours |
| Language | English |
| Requirements | Basic Python knowledge is required. Familiarity with APIs, Docker, or RAG concepts is helpful but not mandatory. |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
Build production-ready AI agents using Google Gemini, LangChain v1, MCP, and modern agent design patterns.
Design and implement multimodal RAG pipelines using Docling, Gemini, Qdrant vector database, and hybrid search.
Process PDFs, tables, and images at scale using Docling, Docker, and structured data extraction techniques.
Implement hybrid search, re-ranking, memory, MCP tools, and cost-optimized context caching in real AI systems
Create autonomous multi-agent research systems with orchestrator, researcher, and editor agents for finance use cases.
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Coupon & redemption FAQ
Is the Udemy coupon for "Deep Agent - Multi Agent RAG with Gemini and Langchain" still valid? +
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