Premium AI Course • Fast Delivery
ByteByteAI Learn by Doing Become an AI Engineer — A six-week project-based AI engineering track covering LLM foundations, RAG, agents, reasoning models, image/video generation and a capstone, bundled with extensive coding and system-design reference material. Browse more verified training through AI Courses Cheap or return to Courses On Budget. Check the current 5050 offer on the coupons page.
ByteByteAI Learn by Doing Become an AI Engineer — A six-week project-based AI engineering track covering LLM foundations, RAG, agents, reasoning models, image/video generation and a capstone, bundled with extensive coding and system-design reference material. Browse more verified training through AI Courses Cheap or return to Courses On Budget. Check the current 5050 offer on the coupons page.
ByteByteAI Learn by Doing Become an AI Engineer: What You Actually Get
ByteByteAI Learn by Doing Become an AI Engineer is structured as a six-week practical AI track backed by a large reference bundle. The main course includes 12 MP4 sessions covering LLM foundations, an LLM playground, retrieval-augmented generation, a customer-support chatbot, agents, an Ask-the-Web project, reasoning models, deep research, image/video generation, a multimodal agent and a capstone demo. The full archive totals 254 files and 6.91 GB.
254Total files
6.91 GBArchive size
12MP4 videos
FAST DELIVERYPremium course download
Why ByteByteAI Learn by Doing Become an AI Engineer Is Worth Reviewing
- Week 1 establishes LLM foundations and the first project: an LLM Playground.
- Week 2 adds retrieval-augmented generation and a customer-support chatbot build.
- Week 3 covers agents and an Ask-the-Web agent with tool calling.
- Week 4 focuses on thinking/reasoning LLMs and a Deep Research capability.
- Week 5 moves into image and video generation plus a multimodal generation agent.
- Week 6 closes with the multimodal project and a capstone demo/presentation.
- Bonus material adds coding-interview patterns, generative-AI system design, machine-learning system design, mobile system design, object-oriented design, system design and resume guidance.
Six-Week AI Engineering Roadmap
| Week | Main topic | Practical build/evidence |
|---|---|---|
| Week 1 | LLM Foundations | Guided learning + Build an LLM Playground. |
| Week 2 | Retrieval-Augmented Generation (RAG) | Guided RAG learning + Customer Support Chatbot. |
| Week 3 | Agents | Guided agents lesson + Ask-the-Web agent with tool calling. |
| Week 4 | Thinking and Reasoning LLMs | Deep Research capability with web search and reasoning models. |
| Week 5 | Image and Video Generation | Multi-Modal Generation Agent. |
| Week 6 | Capstone | Deep-dive project work + capstone demo and presentation. |
Who Should Choose ByteByteAI Learn by Doing Become an AI Engineer?
- Developers who want a project-oriented path from LLM basics to agents and multimodal AI.
- Technical learners studying RAG, reasoning models, tool calling and applied AI systems.
- Engineers who value a large bonus library on coding and system-design interview topics.
- Buyers who want a six-week progression with named builds rather than a collection of unrelated tutorials.
Ready to add this course to your library?
Fast delivery + current discount options. Coupon 5050 is listed on Courses On Budget.
Pros & Considerations
✓ Strengths
- Clear six-week progression with multiple named projects and a capstone.
- 6.91 GB archive combines 12 main videos with code/materials and 217 HTML reference files.
- Bonus bundle extends beyond AI engineering into coding patterns and multiple system-design tracks.
Important Considerations
- A large part of the archive is bonus interview/system-design material rather than the core six-week AI track.
- The breadth of bonus content may be unnecessary for buyers focused only on LLM application development.
Full Course Structure — ByteByteAI – Learn by Doing. Become an AI Engineer
Verified archive: 16 folders · 254 files · 6.91 GB. 12 videos, 1 PDFs, 217 HTML files, 17 TXT files are present in the supplied index. Open the sections below to inspect the exact filenames.
📂 Bonus – Visual Bundle (221 files)
📂 Coding Interview Patterns
📄 001 Introduction to Two Pointers.html (812.99 KB)
📄 002 Pair Sum – Sorted.html (595.26 KB)
📄 003 Triplet Sum.html (941.63 KB)
📄 004 Is Palindrome Valid.html (638.79 KB)
📄 005 Largest Container.html (1.09 MB)
📄 006 Shift Zeros to the End.html (941.35 KB)
📄 007 Next Lexicographical Sequence.html (1.09 MB)
📄 008 Introduction to Hash Maps and Sets.html (480.19 KB)
📄 009 Pair Sum – Unsorted.html (682.54 KB)
📄 010 Verify Sudoku Board.html (928.04 KB)
📄 011 Zero Striping.html (2.11 MB)
📄 012 Longest Chain of Consecutive Numbers.html (591.74 KB)
📄 013 Geometric Sequence Triplets.html (1.68 MB)
📄 014 Introduction to Linked Lists.html (762.85 KB)
📄 015 Linked List Reversal.html (1.29 MB)
📄 016 Remove the Kth Last Node From a Linked List.html (661.68 KB)
📄 017 Linked List Intersection.html (736.14 KB)
📄 018 LRU Cache.html (2.22 MB)
📄 019 Palindromic Linked List.html (535.17 KB)
📄 020 Flatten a Multi-Level Linked List.html (1.45 MB)
📄 021 Introduction to Fast and Slow Pointers.html (303.97 KB)
📄 022 Linked List Loop.html (1017.31 KB)
📄 023 Linked List Midpoint.html (547.02 KB)
📄 024 Happy Number.html (510.25 KB)
📄 025 Introduction to Sliding Windows.html (903.22 KB)
📄 026 Substring Anagrams.html (1.02 MB)
📄 027 Longest Substring With Unique Characters.html (1.37 MB)
📄 028 Longest Uniform Substring After Replacements.html (2.31 MB)
📄 029 Introduction to Binary Search.html (1.00 MB)
📄 030 Find the Insertion Index.html (1.40 MB)
📄 031 First and Last Occurrences of a Number.html (1.54 MB)
📄 032 Cutting Wood.html (1.90 MB)
📄 033 Find the Target in a Rotated Sorted Array.html (1009.93 KB)
📄 034 Find the Median From Two Sorted Arrays.html (1.30 MB)
📄 035 Matrix Search.html (1.36 MB)
📄 036 Local Maxima in Array.html (1.44 MB)
📄 037 Weighted Random Selection.html (1.06 MB)
📄 038 Introduction to Stacks.html (583.28 KB)
📄 039 Valid Parenthesis Expression.html (656.32 KB)
📄 040 Next Largest Number to the Right.html (719.19 KB)
📄 041 Evaluate Expression.html (1.25 MB)
📄 042 Repeated Removal of Adjacent Duplicates.html (681.84 KB)
📄 043 Implement a Queue using Stacks.html (1.35 MB)
📄 044 Maximums of Sliding Window.html (1.84 MB)
📄 045 Introduction to Heaps.html (403.71 KB)
📄 046 K Most Frequent Strings.html (1.53 MB)
📄 047 Combine Sorted Linked Lists.html (732.91 KB)
📄 048 Median of an Integer Stream.html (826.06 KB)
📄 049 Sort a K-Sorted Array.html (1.82 MB)
📄 050 Introduction to Intervals.html (391.93 KB)
📄 051 Merge Overlapping Intervals.html (1.36 MB)
📄 052 Identify All Interval Overlaps.html (777.45 KB)
📄 053 Largest Overlap of Intervals.html (805.46 KB)
📄 054 Introduction to Prefix Sums.html (519.53 KB)
📄 055 Sum Between Range.html (637.60 KB)
📄 056 K-Sum Subarrays.html (1.08 MB)
📄 057 Product Array Without Current Element.html (1.52 MB)
📄 058 Introduction to Trees.html (882.69 KB)
📄 059 Invert Binary Tree.html (953.69 KB)
📄 060 Balanced Binary Tree Validation.html (596.59 KB)
📄 061 Rightmost Nodes of a Binary Tree.html (807.77 KB)
📄 062 Widest Binary Tree Level.html (548.19 KB)
📄 063 Binary Search Tree Validation.html (1.51 MB)
📄 064 Lowest Common Ancestor.html (776.63 KB)
📄 065 Build Binary Tree From Preorder and Inorder Traversals.html (869.62 KB)
📄 066 Maximum Sum of a Continuous Path in a Binary Tree.html (1.31 MB)
📄 067 Binary Tree Symmetry.html (514.90 KB)
📄 068 Binary Tree Columns.html (639.98 KB)
📄 069 Kth Smallest Number in a Binary Search Tree.html (393.56 KB)
📄 070 Serialize and Deserialize a Binary Tree.html (849.45 KB)
📄 071 Introduction to Tries.html (528.66 KB)
📄 072 Design a Trie.html (1.24 MB)
📄 073 Insert and Search Words with Wildcards.html (472.48 KB)
📄 074 Find All Words on a Board.html (1.66 MB)
📄 075 Introduction to Graphs.html (824.41 KB)
📄 076 Graph Deep Copy.html (747.59 KB)
📄 077 Count Islands.html (934.56 KB)
📄 078 Matrix Infection.html (1.62 MB)
📄 079 Bipartite Graph Validation.html (566.49 KB)
📄 080 Longest Increasing Path.html (693.72 KB)
📄 081 Shortest Transformation Sequence.html (1.35 MB)
📄 082 Merging Communities.html (1.03 MB)
📄 083 Prerequisites.html (913.11 KB)
📄 084 Shortest Path.html (1.83 MB)
📄 085 Connect the Dots.html (1.37 MB)
📄 086 Introduction to Backtracking.html (593.64 KB)
📄 087 Find All Permutations.html (853.58 KB)
📄 088 Find All Subsets.html (638.46 KB)
📄 089 N Queens.html (707.42 KB)
📄 090 Combinations of a Sum.html (955.20 KB)
📄 091 Phone Keypad Combinations.html (565.76 KB)
📄 092 Introduction to Dynamic Programming.html (424.76 KB)
📄 093 Climbing Stairs.html (844.61 KB)
📄 094 Minimum Coin Combination.html (1.03 MB)
📄 095 Matrix Pathways.html (675.69 KB)
📄 096 Neighborhood Burglary.html (654.38 KB)
📄 097 Longest Common Subsequence.html (1014.02 KB)
📄 098 Longest Palindrome in a String.html (724.54 KB)
📄 099 Maximum Subarray Sum.html (989.94 KB)
📄 100 01 Knapsack.html (1.10 MB)
📄 101 Largest Square in a Matrix.html (1.21 MB)
📄 102 Introduction to Greedy Algorithms.html (399.54 KB)
📄 103 Jump to the End.html (1.01 MB)
📄 104 Gas Stations.html (999.53 KB)
📄 105 Candies.html (976.70 KB)
📄 106 Introduction to Sort and Search.html (328.35 KB)
📄 107 Sort Linked List.html (1.15 MB)
📄 108 Sort Array.html (921.31 KB)
📄 109 Kth Largest Integer.html (1.26 MB)
📄 110 Dutch National Flag.html (1.05 MB)
📄 111 Introduction to Bit Manipulation.html (523.13 KB)
📄 112 Hamming Weights of Integers.html (417.60 KB)
📄 113 Lonely Integer.html (433.17 KB)
📄 114 Swap Odd and Even Bits.html (979.16 KB)
📄 115 Introduction to Math and Geometry.html (229.97 KB)
📄 116 Spiral Traversal.html (1.38 MB)
📄 117 Reverse 32-Bit Integer.html (1.06 MB)
📄 118 Maximum Collinear Points.html (928.82 KB)
📄 119 The Josephus Problem.html (372.43 KB)
📄 120 Triangle Numbers.html (1.12 MB)
📄 names.txt (3.75 KB)
📂 Generative AI System Design Interview
📄 001 Introduction and Overview.html (930.80 KB)
📄 002 Gmail Smart Compose.html (2.11 MB)
📄 003 Google Translate.html (1.46 MB)
📄 004 ChatGPT Personal Assistant Chatbot.html (1.57 MB)
📄 005 Image Captioning.html (962.11 KB)
📄 006 Retrieval-Augmented Generation.html (2.15 MB)
📄 007 Realistic Face Generation.html (4.12 MB)
📄 008 High-Resolution Image Synthesis.html (1.12 MB)
📄 009 Text-to-Image Generation.html (5.86 MB)
📄 010 Personalized Headshot Generation.html (2.55 MB)
📄 011 Text-to-Video Generation.html (3.93 MB)
📄 names.txt (361.00 B)
📂 How to Write a Good Resume
📄 001 Acknowledgements.html (115.93 KB)
📄 002 Introduction.html (122.53 KB)
📄 003 PART 1 RESUMES AND THE HIRING PROCESS.html (115.88 KB)
📄 004 Chapter 1 Why Resumes and CVs are Important.html (133.91 KB)
📄 005 Chapter 2 The Hiring Pipeline.html (439.49 KB)
📄 006 PART 2 WRITING THE RESUME.html (117.08 KB)
📄 007 Chapter 3 Tech Resume Basics.html (219.66 KB)
📄 008 Chapter 4 Resume Structure.html (491.83 KB)
📄 009 Chapter 5 Standing Out.html (986.04 KB)
📄 010 Chapter 6 Common Mistakes.html (635.32 KB)
📄 011 Chapter 7 Different Experience Levels, Different Career Paths.html (508.04 KB)
📄 012 Chapter 8 Exercises to Polish Your Resume.html (194.40 KB)
📄 013 Chapter 9 Beyond the Resume.html (401.58 KB)
📄 014 PART 3 EXAMPLES AND INSPIRATION.html (116.22 KB)
📄 015 Chapter 10 Good Resume Template Principles.html (610.12 KB)
📄 016 Chapter 11 Resume Templates.html (1.29 MB)
📄 017 Chapter 12 Resume Improvement Examples.html (2.02 MB)
📄 018 Chapter 13 Advice for Hiring Managers on Running a Good Screening Process.html (137.66 KB)
📄 019 Conclusion.html (115.46 KB)
📂 Machine Learning System Design Interview
📄 01. Introduction and Overview.html (1.34 MB)
📄 02. Visual Search System.html (1.68 MB)
📄 03. Google Street View Blurring System.html (1.26 MB)
📄 04. YouTube Video Search.html (1.33 MB)
📄 05.Harmful Content Detection.html (1.41 MB)
📄 06. Video Recommendation System.html (1.56 MB)
📄 07. Event Recommendation System.html (1.43 MB)
📄 08. Ad Click Prediction on Social Platforms.html (1.65 MB)
📄 09. Similar Listings on Vacation Rental Platforms.html (1.18 MB)
📄 10. Personalized News Feed.html (1.23 MB)
📄 11. People You May Know.html (1.31 MB)
📂 Mobile System Design Interview
📄 001 Introduction.html (288.73 KB)
📄 002 A framework for Mobile SD interviews.html (465.25 KB)
📄 003 News feed app.html (1.37 MB)
📄 004 Chat app.html (2.34 MB)
📄 005 Stock trading app.html (1.08 MB)
📄 006 Pagination library.html (504.10 KB)
📄 007 Hotel reservation app.html (1.20 MB)
📄 008 Google Drive app.html (1.17 MB)
📄 009 YouTube app.html (788.34 KB)
📄 010 Mobile System Design Building Blocks.html (2.32 MB)
📄 011 Quick Reference Cheat Sheet for MSD Interview.html (117.85 KB)
📄 names.txt (297.00 B)
📂 Object-Oriented Design Interview
📄 001 What is an Object-Oriented Design Interview.html (521.02 KB)
📄 002 A Framework for the OOD Interview.html (288.77 KB)
📄 003 OOP Fundamentals.html (1.63 MB)
📄 004 Design a Parking Lot.html (1.59 MB)
📄 005 Design a Movie Ticket Booking System.html (2.21 MB)
📄 006 Design a Unix File Search System.html (808.26 KB)
📄 007 Design a Vending Machine.html (501.81 KB)
📄 008 Design an Elevator System.html (258.61 KB)
📄 009 Design a Grocery Store System.html (2.18 MB)
📄 010 Design a Tic Tac Toe Game.html (260.27 KB)
📄 011 Design a Blackjack Game.html (386.79 KB)
📄 012 Design a Shipping Locker System.html (1.74 MB)
📄 013 Design an ATM System.html (450.71 KB)
📄 014 Design a Restaurant Management System.html (2.21 MB)
📄 names.txt (476.00 B)
📂 System Design Interview
📄 0. Foreword.html (3.21 MB)
📄 1. Join the Community.html (3.21 MB)
📄 10. Design A Web Crawler.html (3.89 MB)
📄 11. Design A Notification System.html (6.10 MB)
📄 12. Design A News Feed System.html (3.98 MB)
📄 13. Design A Chat System.html (3.64 MB)
📄 14. Design A Search Autocomplete System.html (4.29 MB)
📄 15. Design YouTube.html (6.45 MB)
📄 16. Design Google Drive.html (4.74 MB)
📄 17. Proximity Service.html (4.26 MB)
📄 18. Nearby Friends.html (4.11 MB)
📄 19. Google Maps.html (7.16 MB)
📄 2. Scale From Zero To Millions Of Users.html (4.04 MB)
📄 20. Distributed Message Queue.html (4.22 MB)
📄 21. Metrics Monitoring and Alerting System.html (3.88 MB)
📄 22. Ad Click Event Aggregation.html (4.11 MB)
📄 23. Hotel Reservation System.html (3.82 MB)
📄 24. Distributed Email Service.html (3.87 MB)
📄 25. S3-like Object Storage.html (4.67 MB)
📄 26. Real-time Gaming Leaderboard.html (4.01 MB)
📄 27. Payment System.html (3.70 MB)
📄 28. Digital Wallet.html (4.38 MB)
📄 29. Stock Exchange.html (4.44 MB)
📄 3. Back-of-the-envelope Estimation.html (3.77 MB)
📄 30. The Learning Continues.html (3.36 MB)
📄 4. A Framework For System Design Interviews.html (3.38 MB)
📄 5. Design A Rate Limiter.html (3.63 MB)
📄 6. Design Consistent Hashing.html (3.54 MB)
📄 7. Design A Key-value Store.html (3.69 MB)
📄 8. Design A Unique ID Generator In Distributed Systems.html (3.43 MB)
📄 9. Design A URL Shortener.html (4.01 MB)
📂 Code & Materials (21 files)
📄 Chat History Deep Dive.txt (21.47 KB)
📄 WEEK 6 Additional Links.zip (1.40 MB)
📄 WEEK 6 Capstone Project Guidelines.pdf (103.06 KB)
📄 WEEK 6 Chat History Deep Dive.txt (50.31 KB)
📄 WEEK 6 Demo 1 Chat History.txt (36.86 KB)
📄 Week 1 Guided Learning LLM Foundations.txt (2.72 KB)
📄 Week 1 Project 1 Build an LLM Playground.txt (2.01 KB)
📄 Week 2 Guided Learning Retrieval Augmented Generation (RAG).txt (2.21 KB)
📄 Week 2 Project 2 Build a Customer Support Chatbot.txt (1.90 KB)
📄 Week 3 Guided Learning Agents.txt (2.27 KB)
📄 Week 3 Project 3 Build an “Ask-the-Web” Agent Similar to Perplexity with Tool Calling.txt (1.78 KB)
📄 Week 4 Guided Learning Thinking and Reasoning LLMs.txt (2.03 KB)
📄 Week 4 Project 4 Build “Deep Research” Capability with Web Search and Reasoning Models.txt (1.85 KB)
📄 Week 5 Guided Learning Image and Video Generation.txt (3.20 KB)
📄 Week 5 Project 5 Build a Multi-Modal Generation Agent.txt (1.77 KB)
📄 multimodal_agent_solution.ipynb (6.51 MB)
📄 p1.excalidraw (11.57 MB)
📄 p2.excalidraw (7.51 MB)
📄 p3.excalidraw (10.78 MB)
📄 p4.excalidraw (2.31 MB)
📄 p5.excalidraw (12.51 MB)
📂 Week 1 (2 files)
📄 001 WEEK 1 Introduction and Logistics, Sat 104 10-1130 AM (PT).mp4 (841.33 MB)
📄 002 WEEK 1 Guided Learning LLM Foundations.mp4 (609.21 MB)
📂 Week 2 (2 files)
📄 003 WEEK 2 Deep Dive Project 1 Build an LLM Playground, Sat 1011 10-1130 AM (PT).mp4 (1.27 GB)
📄 004 WEEK 2 Guided Learning Retrieval Augmented Generation (RAG).mp4 (343.35 MB)
📂 Week 3 (2 files)
📄 005 WEEK 3 Deep-Dive Project 2 Build a Customer Support Chatbot, Sat 1018 10-1130 AM (PT).mp4 (379.12 MB)
📄 006 WEEK 3 Guided Learning Agents.mp4 (483.72 MB)
📂 Week 4 (2 files)
📄 007 WEEK 4 Deep-Dive Project 3 Build an “Ask-the-Web” Agent Similar to Perplexity, Sat 1025 10-1130 AM (PT).mp4 (453.31 MB)
📄 008 WEEK 4 Guided Learning Thinking and Reasoning LLMs.mp4 (446.65 MB)
📂 Week 5 (2 files)
📄 0010 WEEK 5 Guided Learning Image and Video Generation.mp4 (532.78 MB)
📄 009 WEEK 5 Deep-Dive Project 4 Build “Deep Research” Capability, Sat 111 10-1130 AM (PT).mp4 (411.04 MB)
📂 Week 6 (2 files)
📄 0011 WEEK 6 Deep-Dive Project 5 Build a Multi-modal Generation Agent, Sat 118 10-1130 AM (PT).mp4 (427.78 MB)
📄 0012 WEEK 6 Capstone Project Demo and Presentation, Sun 119 10 AM -12 PM (PT).mp4 (472.96 MB)
Related AI Courses on Courses On Budget
Build a stronger learning path with related products from the same catalog:
AI Architect – Cursor Mastery – Zero to Expert
Ben AI – AI Accelerator
ChatGPT Masterclass – Build Solutions and Apps with ChatGPT
Browse the AI / ChatGPT product category, the curated AI Courses Cheap list, and the latest course updates.
Final Verdict
ByteByteAI Learn by Doing Become an AI Engineer is a strong choice for someone who wants a staged project roadmap: LLMs → RAG → agents → reasoning → multimodal generation → capstone. The bonus visual bundle is substantial, but the core value proposition remains the six-week applied AI engineering sequence.
For the current product listing, fast delivery and checkout details, use the official ByteByteAI – Learn by Doing. Become an AI Engineer product page on Courses On Budget.
Official tool/resource reference: OpenAI API Documentation.
Reviews
There are no reviews yet.