AI Engineer

Subscribers 375K

Videos 613

Views 12.3M

Channels Like AI Engineer

AI Engineer focuses on talks, workshops, events, and training for AI Engineers, with videos featuring production AI topics, agents, RAG, and AI tooling. The channel combines tutorials, deep-dives, and workshop-style content, often highlighting real-world implementations and studies, and publishes around 0 uploads per week on average with about 403.5K views per video. Overall metrics show 375K subscribers and 12.3M total views across 613 videos since joining in Sep 2023.

AI summary

Similar Channels

We found 46 YouTube channels similar to AI Engineer

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

89% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 80

SERP 100%

Similarity 82%

ai engineering machine learning agents llm agents

Both target audiences interested in AI engineering, machine learning agents, and LLM agents as reflected by high search overlap (100%) with strong content relevance (82%), indicating similar topics and tutorials though IBM may emphasize enterprise tooling.

AI summary

#2

Jeff Su view on YouTube ▶

59% relevance

Subscribers 1.6M

Videos 294

Views 91.5M

Appearances 14

SERP 26%

Similarity 80%

machine learning agents llm agents building ai tools

Matches AI Engineer on core topics like machine learning agents and LLM agents (high search overlap), and building AI tools (content alignment), showing a shared focus on practical AI tool development despite differing pacing and style.

AI summary

freeCodeCamp.org YouTube channel thumbnail

#3

freeCodeCamp.org view on YouTube ▶

57% relevance

Subscribers 11.5M

Videos 2.1K

Views 954.1M

Appearances 23

SERP 20%

Similarity 82%

rag applications vector databases ai programming workflows

Converges on practical AI workflows and advanced topics like rag applications and vector databases (high content similarity), signaling a shared audience seeking end-to-end AI programming and data tooling guidance.

AI summary

#4

codebasics

52% relevance

Subscribers 1.5M

Videos 1.1K

Views 153.6M

Appearances 7

SERP 7%

Similarity 83%

rag applications vector databases ai model context

aligns with AI Engineer on rag applications and vector databases, and AI model context, capturing a common instructional niche around applying AI tooling and data management in projects.

AI summary

#5

KodeKloud

51% relevance

Subscribers 322K

Videos 964

Views 25.5M

Appearances 7

SERP 9%

Similarity 80%

machine learning agents llm agents rag applications

Shows connection through machine learning agents, LLM agents, and rag applications (search overlap), aligning with AI Engineer on modern AI tooling and agent-oriented workflows.

AI summary

Sean‘s AI Stories YouTube channel thumbnail

#6

Sean‘s AI Stories view on YouTube ▶

51% relevance

Subscribers 11.5K

Videos 115

Views 413.0K

Appearances 2

SERP 4%

Similarity 82%

ai system design ai system architecture

Focuses on AI system design and architecture, paralleling AI Engineer's interests in scalable AI infrastructure, as indicated by audience interest and content relevance (high content match).

AI summary

Content Landscape

Top competitors include IBM Technology (89% match) and Jeff Su (59% match), both aligning with ai engineering and llm/machine learning agents topics; freeCodeCamp.org (57% match) also competes on rag applications, vector databases, and ai programming workflows. These rivals share overlapping queries such as ai engineering, machine learning agents, llm agents, rag applications, and ai tooling. IBM Technology has about 1.6M subscribers, Jeff Su about 1.6M, and freeCodeCamp.org leads with 11.5M subscribers, all larger than AI Engineer’s 375K. The common thread is content around AI agents, RAG, and tooling, which positions these channels as direct competitors for search queries targeting AI engineering and production AI workflows.

AI summary

Video Highlights

Didn't Make the Cut

40 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	51%	Tech With Tim ▶	82%	2.0M	5%	5
#8	51%	Tina Huang ▶	80%	1.1M	6%	8
#9	51%	Mikey No Code ▶	78%	109K	10%	7
#10	51%	Futurepedia ▶	81%	667K	6%	5
#11	51%	AI News & Strategy Daily \| Nate B Jones ▶	83%	286K	3%	1
#12	51%	Krish Naik ▶	83%	1.4M	2%	4
#13	50%	Fiddler AI	82%	1.8K	3%	1
#14	50%	Google Cloud Tech	80%	1.4M	6%	9
#15	50%	Ardit Sulce	81%	4.4K	3%	1
#16	50%	Fireship ▶	78%	4.1M	8%	5
#17	50%	Marina Wyss - AI & Machine Learning	77%	128K	9%	6
#18	49%	Burke Holland	80%	108K	4%	3
#19	49%	LangChain	78%	182K	7%	6
#20	49%	AI Anytime	80%	47.3K	2%	2
#21	49%	Nick Saraev ▶	80%	312K	3%	4
#22	49%	JavaScript Mastery ▶	78%	1.2M	6%	3
#23	49%	Thu Vu	80%	332K	3%	3
#24	49%	AssemblyAI	77%	180K	6%	4
#25	48%	Dave Ebbelaar ▶	78%	246K	3%	4
#26	48%	ForrestKnight ▶	76%	688K	6%	4
#27	48%	TED ▶	77%	27.2M	4%	3
#28	48%	SH AI Academy	78%	2.8K	3%	1
#29	48%	CodeHead ▶	76%	69.8K	5%	5
#30	48%	Daniel	78%	5.4K	3%	4
#31	48%	Adrian Twarog	78%	414K	2%	3
#32	47%	Stanford Online	77%	1.1M	3%	3
#33	47%	ritvikmath	77%	206K	3%	1
#34	47%	NetworkChuck ▶	77%	5.2M	3%	4
#35	47%	Arjay McCandless	76%	86.6K	4%	2
#36	47%	Liam Ottley ▶	76%	746K	2%	4
#37	46%	Sajjaad Khader ▶	75%	272K	3%	2
#38	46%	ByteByteGo ▶	74%	1.4M	4%	4
#39	46%	Computerphile ▶	74%	2.6M	2%	2
#40	45%	Exponent ▶	73%	481K	4%	2
#41	45%	IBM	73%	372K	3%	2
#42	44%	SandboxAQ	70%	200K	6%	2
#43	44%	AWS Events	69%	172K	5%	6
#44	44%	TechWorld with Nana ▶	70%	1.4M	4%	2
#45	43%	Savage Reviews	71%	26.3K	2%	3
#46	43%	Scott Peters	68%	32.6K	4%	1

Search Queries Used

ai engineering machine learning agents llm agents production ai apps rag applications ai developer productivity vector databases knowledge graphs ai ai model context building ai tools ai programming workflows llm orchestration ai code generation ai engineering workshops ai system design ai model deployment ml workflow automation llm toolchains ai system architecture production ML pipelines ai safety practices ai observability mlops for beginners data vectorization techniques knowledge graph queries document retrieval systems richer context management runtime model monitoring llm prompt engineering agent orchestration patterns ai tooling ecosystems ai model evaluation edge AI deployment reliable AI systems ai tooling best practices

Frequently Asked Questions

Which YouTube channels are most similar to AI Engineer?

AI Engineer's biggest competitors on YouTube are IBM Technology — 89% match, 1.6M subscribers; Jeff Su — 59% match, 1.6M subscribers; freeCodeCamp.org — 57% match, 11.5M subscribers. They share a focus on AI, tech education, and practical guidance around machine learning and AI deployment, often featuring tutorials, explainers, and coding content.

What type of content does AI Engineer make?

AI Engineer creates technical, AI-focused content such as code, agents, and production-ready AI applications. Video titles include collaborations with major AI labs and industry players, e.g., 'AIE CODE Day 2' and 'The New Code — Sean Grove, OpenAI,' plus practical topics like building effective agents and production-ready RAG applications. Uploads appear relatively frequent, with multiple recent videos ranging from 409.9K to 1.1M views, averaging about 403.5K views per video.

How do we determine which channels are similar to AI Engineer?

We analyze AI Engineer's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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