Verified Course Overview · 2026Systematically Improving RAG Applications — An engineering-focused program for teams that need RAG systems to improve under measurement, not guesswork. The curriculum concentrates on evaluation, failure analysis, embedding quality, feedback loops, multimodal retrieval, routing and production iteration. Review the verified curriculum below, then order through the official Courses On Budget product page with Fast Delivery after order processing.
What Is Systematically Improving RAG Applications?
Production-focused rag evaluation, embedding fine-tuning, feedback loops, multimodal retrieval and query routing. What makes this listing useful is the combination of a clear learning path and a fully inspectable package index: you can see the real lesson names, sections and supporting files before deciding. It is listed in the AI Courses Cheap catalog on Courses On Budget.
Verified Package Facts
- The archive contains 7 folders, 75 files and 13.73 GB.
- The supplied video index contains 48 videos across main content, guest lectures, office hours and workshops.
- The product page frames the curriculum around evaluation systems, fine-tuned embeddings, feedback, segmentation, multimodal retrieval and query routing.
What You Will Work Through
✓ Synthetic evaluation data and failure analysis
✓ Embedding fine-tuning and retrieval optimization
✓ Product UX, user feedback and production monitoring
✓ Multimodal RAG and specialized retrieval
✓ Query routing and advanced retrieval strategies
✓ Guest lectures, office hours and six cohort workshops
Who This Course Is Best For
Best for: AI engineers and technical teams working on RAG systems who want a systematic approach to evaluation, retrieval quality and production improvement.
Course Value at a Glance
| Decision Point | What the Supplied Package Shows |
|---|---|
| Primary focus | Production RAG Evaluation & Retrieval |
| Delivery | Fast Delivery after order processing |
| Curriculum evidence | 48 indexed video file(s) |
| Learning format | Lesson-led course archive with the formats listed in the supplied package |
| Best fit | AI engineers and technical teams working on RAG systems who want a systematic approach to evaluation, retrieval quality and production improvement. |
Full Course Video Index
48 indexed video file(s) are organized below. Open each section to inspect the supplied lesson names.
Bonus Content / Cohort 1 (17 videos)
- 01_Cohort_1_Guest_Lectures_Building_Dynamic_AI_Memory_Systems_Sam – Copy (2).mp4 (515.13 MB)
- 02_Cohort_1_Guest_Lectures_Text_Chunking_in_RAG_Essential_Guide.mp4 (194.13 MB)
- 03_Cohort_1_Guest_Lectures_Custom_RAG_Evaluations_w_Vespa_ai.mp4 (406.01 MB)
- 04_Cohort_1_Guest_Lectures_Multimodal_RAG,_Hybrid_Search_&_Re_ranking.mp4 (215.73 MB)
- 05_Cohort_1_Guest_Lectures_Leveraging_User_Feedback_for_Better_RAG.mp4 (170.69 MB)
- 06_Cohort_1_Guest_Lectures_Cohere’s_Guide_to_RAG_Complexity_and.mp4 (294.88 MB)
- 07_Cohort_1_Guest_Lectures_Boosting_BM25_with_Generative_AI_Insights.mp4 (160.13 MB)
- Cohort_1_Office_Hours_Beyond_Dense_Embeddings_Exploring_Colbert.mp4 (216.33 MB)
- Cohort_1_Office_Hours_Building_Resilient_RAG_Systems_for_Large_Scale.mp4 (514.98 MB)
- Cohort_1_Office_Hours_Building_Scalable_Systems_with_DAGs_and_Serverless – Copy.mp4 (457.65 MB)
- Cohort_1_Office_Hours_Building_Scalable_Systems_with_DAGs_and_Serverless.mp4 (457.65 MB)
- Cohort_1_Office_Hours_Data_Flywheels_&_Fine_Tuning_Re_Rankers_for.mp4 (256.04 MB)
- Cohort_1_Office_Hours_Evaluating_Agent_Performance_and_Planning.mp4 (470.37 MB)
- Cohort_1_Office_Hours_Handling_Real_Time_Insights_&_Advanced_Retrieval.mp4 (403.07 MB)
- Cohort_1_Office_Hours_Optimizing_Planner_and_Feedback_Mechanisms.mp4 (264.06 MB)
- Cohort_1_Office_Hours_Smart_Routing_and_Query_Optimization_for_Advanced.mp4 (406.31 MB)
- Cohort_1_Office_Hours_Using_AI_to_Streamline_Query_Understanding.mp4 (333.62 MB)
Bonus Content / Cohort 2 (6 videos)
- Cohort_2_Guest_Lectures_Building_document_workflow_agents_with_Jerry.mp4 (108.77 MB)
- Cohort_2_Guest_Lectures_Building_scalable_RAG_applications_Evolving.mp4 (114.26 MB)
- Cohort_2_Guest_Lectures_Common_Mistakes_People_Make_with_Evals_Hamel.mp4 (201.91 MB)
- Cohort_2_Guest_Lectures_Inside_Glean_Fine_Tuning_Embedding_Models.mp4 (385.18 MB)
- Cohort_2_Guest_Lectures_Lexical_Love_Rediscovering_the_Power_of.mp4 (284.02 MB)
- Cohort_2_Guest_Lectures_Organizing_Your_Data_for_Query_Routing_Anton.mp4 (367.44 MB)
Bonus Content / Workshops (6 videos)
- RAG Cohort 1 – Workshop 1.mp4 (258.28 MB)
- RAG Cohort 1 – Workshop 2.mp4 (642.38 MB)
- RAG Cohort 1 – Workshop 3.mp4 (208.55 MB)
- RAG Cohort 1 – Workshop 4.mp4 (241.87 MB)
- RAG Cohort 1 – Workshop 5.mp4 (407.54 MB)
- RAG Cohort 1 – Workshop 6.mp4 (418.94 MB)
Main Content (19 videos)
- 01. Lecture 0_ Introductions – Descript.mp4 (46.08 MB)
- 010. Office Hour MAY 22.mp4 (789.05 MB)
- 011. Optional Notebook Office Hour MAY 22.mp4 (65.25 MB)
- 012_Online_Evals_and_Production_Monitoring_Ben_Hylak_&_Sidhant_Bendre.mp4 (131.46 MB)
- 013_Data_is_Everything_Finding_needles_in_multimodal_haystacks_Rajan.mp4 (224.89 MB)
- 014. Week 2 Office Hour MAY 27.mp4 (821.92 MB)
- 015. Week 2 Office Hour MAY 29.mp4 (550.04 MB)
- 016. Optional Notebook Office Hour MAY 29.mp4 (151.12 MB)
- 017. Lecture 3 Product UX Feedback.mp4 (58.82 MB)
- 018_Latency_First_How_to_Actually_Make_RAG_&_Agents_Fast_Aarush.mp4 (418.50 MB)
- 019_Week_3_RAG_Without_APIs_When_Function_Calling_Talks_to_Your.mp4 (297.66 MB)
- 02_Lecture_1_synthetic_data,_fake_it_until_you_make_it_Descript.mp4 (211.58 MB)
- 03. Week 1 – 1 _ Synthetic Questions – Descript.mp4 (41.76 MB)
- 04. Week 1 – 2 _ Benchmarking Retrieval – Descript.mp4 (51.97 MB)
- 05. Week 1 – 3 _ Statistical Validation – Descript.mp4 (26.12 MB)
- 06. Introductions.mp4 (104.47 MB)
- 07. Office Hours MAY 20.mp4 (133.19 MB)
- 08_Understanding_Embedding_Performance_through_Generative_Evals.mp4 (197.67 MB)
- 09. Semantic search over the web with Exa [Will Bryk].mp4 (331.83 MB)
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Frequently Asked Questions
What is included in Systematically Improving RAG Applications?
The archive contains 7 folders, 75 files and 13.73 GB. The supplied video index contains 48 videos across main content, guest lectures, office hours and workshops.
Who is Systematically Improving RAG Applications best for?
AI engineers and technical teams working on RAG systems who want a systematic approach to evaluation, retrieval quality and production improvement.
Does Systematically Improving RAG Applications include video lessons?
The supplied index contains 48 video file(s).
How is the course delivered?
The Courses On Budget listing uses Fast Delivery after order processing. Check the product page for current checkout details.
Where can I find similar AI courses?
Use the AI Courses Cheap catalog and the related product links on this page to compare adjacent topics.
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