AI SDK v5 Crash Course

Name: AI SDK v5 Crash Course
Price: 12.75 USD
Availability: InStock
Rating: 5 (2 reviews)

2h 45m 17s

English

Paid

January 5, 2026

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 Just a year ago, development for LLM was chaos: hacks, unstable APIs, outdated interfaces, and endless reworks.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.

Additional

https://github.com/ai-hero-dev/ai-sdk-v5-crash-course

About the Author: Matt Pocock

Matt Pocock is a UK-based developer and the founder of Total TypeScript — one of the most authoritative paid course platforms on the TypeScript language. He was previously a developer-experience engineer at Vercel and is widely cited as one of the clearest teachers of TypeScript's deeper type-system patterns. His Twitter / X presence is one of the largest single-language educational accounts in the JavaScript ecosystem.

His CourseFlix listing carries four Matt Pocock courses: Total TypeScript — Professional TypeScript Training (the platform's flagship comprehensive course), TypeScript Pro Essentials, AI SDK v5 Crash Course, and Build Your Own AI Personal Assistant in TypeScript. The TypeScript material is taught at the level of a working senior engineer who routinely uses the type system as a design tool, not just type annotations.

Material is paid; Total TypeScript runs on per-course pricing on the original platform. Courses are aimed at intermediate-and-up TypeScript developers.

Watch Online 89 lessons

0:00

#1: 001 What is the AI SDK_

All Course Lessons (89)

#	Lesson Title	Duration
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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Course content

89 lessons · 2h 45m 17s

Show all 89 lessons

1 001 What is the AI SDK_ 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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Frequently asked questions

What is AI SDK v5 Crash Course about?

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…

Who teaches AI SDK v5 Crash Course?

AI SDK v5 Crash Course is taught by Matt Pocock. You can find more courses by this instructor on the corresponding source page.

How long is AI SDK v5 Crash Course?

AI SDK v5 Crash Course contains 89 lessons with a total runtime of 2 hours 45 minutes. All lessons are available to watch online at your own pace.

Is AI SDK v5 Crash Course free to watch?

AI SDK v5 Crash Course is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.

Where can I watch AI SDK v5 Crash Course online?

AI SDK v5 Crash Course is available to watch online on CourseFlix at https://courseflix.net/course/ai-sdk-v5-crash-course. The page hosts every lesson with the integrated video player; no download is required.