Deploy Langchain v1 AI App at AWS, Local LLM Projects, Ollama, DeepSeek, LLAMA, Qwen3, Gemma3, GPT-OSS, Text to MySQL
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Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents
Save on Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents with a verified Udemy coupon (checked August 2026). See current price, availability and course details.
by KGP Talkie | Laxmi Kant · ⭐ 4.8 via Udemy · 6,949 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 January 8, 2025 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
January 8, 2025
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
8.9
/ 10
Discount depth
93%
Udemy rating
4.8 / 5
Popularity
6,949 students
Tracking length
593 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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Jan 8, 2025Listed 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 |
| Offer ends | Listed until August 5 |
| Provider | Udemy |
| Level | All Levels |
| Rating | 4.8 / 5 |
| Students | 6,949 |
| Content | 19 hours 30 minutes |
| Language | English |
| Requirements | Basic Python programming knowledge · Familiarity with APIs and web requests |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
Key Topics Covered From the course description
Install and integrate LangChain v1 and Ollama to run Qwen3, Gemma3, DeepSeek R1, GPT-OSS, LLAMA, and custom GGUF models locally.
Build complete chatbots with memory, history, streaming responses, and a Streamlit UI.
Use prompt templates, LCEL chains, chain routing, parallel chains, custom chains, and runnable pipelines to structure LLM workflows.
Parse structured output using Pydantic, JSON, CSV parsers, and .with_structured_output() methods.
Implement advanced retrieval systems including similarity search, MMR search, threshold search, and optimized chunking.
Use tool calling and function calling with DuckDuckGo, Tavily, Wikipedia, PubMed, and custom tools.
Build production-ready AI agents using LangChain v1 agent API, dynamic model selection, middleware, state management, and real-time streaming.
Create Agentic RAG systems including autonomous retrieval, context citation, custom FAISS tools, and streamed agentic responses.
Build a complete Text-to-SQL Agent for MySQL with schema extraction, SQL generation, validation, execution, and automated error correction.
Build LinkedIn scraper, resume parser, and data extraction workflows using Selenium, BeautifulSoup, LLM parsing, and Streamlit apps.
Deploy LangChain v1 + Ollama applications to AWS EC2, configure remote servers, and run production-level AI apps.
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