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AI SDK v5 Crash Course

2h 45m 17s
English
Paid

100% TypeScript. 100% Production-ready. 0% hype. Only real tools and experience. Integration with LLM has finally reached a new level - now it's truly worth your time. Just a year ago, development for LLM was chaos: hacks, unstable APIs, outdated interfaces, and endless reworks. Now everything is different thanks to the AI SDK.

Why AI SDK v5 is a Game-Changer

AI SDK v5 transforms the development landscape:

  • Write once - works with any LLM provider.
  • Modern patterns and tools replace homemade solutions.
  • Production-ready, secure, and elegant TypeScript code.

If you've been waiting for stable APIs, production-ready tools, and clear architectural patterns - the moment has come.

Course Overview

In this intensive course, you'll learn how to add LLM-based features to your TypeScript applications efficiently.

The course includes 89 short videos and 57 practical exercises across 10 modules. Everything is practical, dynamic, and concise.

Key Learning Objectives

  • Basic principles of LLM including tokens, context, and windows.
  • Key architectural patterns: agents, workflows, tool-calling, and more.
  • Production tools: observability, logging, error handling.
  • Eval-Driven Development to tackle model hallucinations.
  • Effective use of AI SDK v5.

Projects You Will Create

  • Chat title generator with a dataset for evaluation.
  • Workflow for generating and enhancing messages in Slack.
  • Guardrail to protect your application.
  • Request router for sending simple tasks to cost-effective models.
  • Exploratory agent for information searching on the web.

All videos are short (2–3 minutes) and exercises are easy yet comprehensive, allowing you to learn even with a busy schedule.

The Power of AI SDK v5

AI SDK v5 is not just a library. It's a unified engineering platform that saves months of development, simplifies maintenance, and makes your AI applications as reliable as the rest of your code.

More than 3.5 million downloads per week - and it's not by chance:

  • Fully open source (Apache 2.0).
  • Supports all major frameworks and LLMs.
  • Unified interface for all models and providers.
  • Easy integration with OpenTelemetry, Langfuse, Braintrust, and other tools.
  • Works everywhere: Node, Deno, Bun.

AI SDK v5 makes LLM application development as modern as everything else in TypeScript. Join us and start creating smart, production-ready features today.

About the Author: Matt Pocock

Matt Pocock thumbnail
Before creating Total TypeScript, I was a member of the XState core team and worked as a developer advocate at Vercel. I've worked with TypeScript as a lead fullstack dev, a library maintainer, and now as a full-time educator. I built Total TypeScript to make the secrets of open-source maintainers and industry experts available to everyone.

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#1: 001 What is the AI SDK_
All Course Lessons (89)
#Lesson TitleDurationAccess
1
001 What is the AI SDK_ Demo
02:01
2
002 How To Take This Course
02:27
3
003 Choosing Your Model
01:51
4
004 Generating Text
00:53
5
005 Generating Text Solution
00:55
6
006 Streaming Text To The Terminal
01:07
7
007 Stream Text to Terminal Solution
00:33
8
008 UI Message Streams
01:34
9
009 Streaming To A UI
02:36
10
010 Stream Text to UI Solution
02:03
11
011 System Prompts
01:26
12
012 Passing Images and Files
01:24
13
013 Passing Images and Files Solution
01:04
14
014 Streaming Objects
01:31
15
015 Streaming Objects Solution
01:49
16
016 Tokens
01:36
17
017 Tracking Token Usage
00:34
18
018 Usage Solution
00:54
19
019 Representing Data As Tokens
01:34
20
020 Context Window
01:51
21
021 Prompt Caching
02:16
22
022 Calling Tools
02:13
23
023 Tool Calling Solution
01:12
24
024 Message Parts
03:14
25
025 Showing Tools in the Frontend
02:32
26
026 Showing Tools in the Frontend Solution
02:10
27
027 Calling MCP Servers via stdio
02:10
28
028 MCP via stdio Solution
01:25
29
029 Calling MCP Servers via HTTP
00:38
30
030 Waiting For Streams To Finish
04:11
31
031 Passing Chat ID's To The API
01:58
32
032 Pass Chat ID to the API Solution
01:23
33
033 Persisting Chat Messages
03:05
34
034 Persistence Solution
01:44
35
035 Persisting Messages In Postgres
03:44
36
036 The Template
03:16
37
037 Basic Prompting
00:55
38
038 Basic Prompting Solution
01:02
39
039 Exemplars
00:42
40
040 Exemplars Solution
01:09
41
041 Retrieval
01:23
42
042 Retrieval Solution
01:31
43
043 Chain of Thought
01:58
44
044 Chain of Thought Solution
02:04
45
045 Evalite Basics
02:13
46
046 Evalite Basics Solution
01:10
47
047 Deterministic Evals
01:33
48
048 Deterministic Eval Solution
01:27
49
049 LLM-as-a-judge Evals
03:29
50
050 LLM as a Judge Solution
01:09
51
051 Dataset Management
01:55
52
052 Chat Title Generation
01:56
53
053 Chat Title Generation Solution
01:20
54
054 How Do I Know My Dataset Is Good_
02:23
55
055 Langfuse Basics
02:56
56
056 Langfuse Basics Solution
01:52
57
057 Custom Data Parts
02:52
58
058 Custom Data Parts Solution
01:37
59
059 Streaming Objects To Custom Data Parts
01:21
60
060 Custom Data Parts with Stream Object Solution
02:01
61
061 Message Metadata
01:30
62
062 Message Metadata Solution
01:10
63
063 Error Handling
01:54
64
064 Error Handling Solution
00:55
65
065 Building A Workflow
01:39
66
066 Workflow Solution
01:16
67
067 Streaming Custom Data to the Frontend
02:19
68
068 Streaming Custom Data to the Frontend Solution
01:39
69
069 Creating Your Own Loop
02:14
70
070 Creating Your Own Loop Solution
01:31
71
071 Breaking the Loop Early
02:20
72
072 Breaking the Loop Early Solution
02:09
73
073 Guardrails
02:38
74
074 Guardrails Solution
02:43
75
075 Model Router
01:34
76
076 Model Router Solution
02:03
77
077 Comparing Multiple Outputs
03:39
78
078 Comparing Multiple Outputs Solution
01:44
79
079 Research Workflow
02:55
80
080 Research Workflow Solution
03:14
81
081 UI Messages vs Model Messages
01:12
82
082 Defining Tools
01:38
83
083 consumeStream
01:57
84
084 Custom Data Parts -
01:21
85
085 Streaming Custom Data Parts To The Frontend
01:12
86
086 Using ID's In Custom Data Parts
01:17
87
087 Message Metadata -
02:14
88
088 Streaming Text Parts By Hand
01:17
89
089 Start and Finish Parts
03:11
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