AI Engineer

Subscribers 375K

Videos 613

Views 12.3M

Channels Like AI Engineer

AI Engineer covers talks, workshops, events, and training for AI Engineers, with videos featuring production AI, agents, RAG, knowledge graphs, and AI tooling. The channel emphasizes tutorials, workshops, and in-depth explorations of building AI systems, with a cadence of frequent uploads and videos averaging around 403.5K views each. Content style includes interviews, case studies, and hands-on sessions, often featuring industry guests and experts.

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

Shares a strong focus on AI engineering topics like ai engineering, machine learning agents, and llm agents (high search overlap at 100% and 89% overall match), indicating a similar audience and subject matter, though IBM Technology’s content style diverges toward enterprise-scale and research deployments (82% content match).

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

Competes for audiences around machine learning agents and llm agents, with high content similarity (80%) but lower overall search alignment (26%), suggesting similar topics delivered with a different emphasis or depth and a smaller discoverability footprint.

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

Targets AI programming workflows, rag applications, and vector databases—topics closely aligned to AI Engineer’s focus—yielding strong overlap in content (82%) and relevant searches (20%), indicating shared educational aims but broader, project-based tutorials.

AI summary

#4

codebasics view on YouTube

52% relevance

Subscribers 1.5M

Videos 1.1K

Views 153.6M

Appearances 7

SERP 7%

Similarity 83%

rag applications vector databases ai model context

Covers rag applications and vector databases similar to AI Engineer with high content similarity (83%), yet shows modest search overlap (7%), implying a similar technical niche but a slightly different audience reach.

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#5

KodeKloud view on YouTube

51% relevance

Subscribers 322K

Videos 964

Views 25.5M

Appearances 7

SERP 9%

Similarity 80%

machine learning agents llm agents rag applications

Addresses machine learning agents and rag applications like AI Engineer; has decent content alignment (80%) but low search overlap (9%), indicating parallel topics delivered to a different or less discoverable audience.

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, aligning with AI Engineer’s engineering-oriented topics (content 82%), though search overlap is modest (4%), suggesting a complementary yet less directly discoverable subject emphasis.

AI summary

Content Landscape

Discovered competitors include IBM Technology (89% match) and Jeff Su (59% match) as top rivals, with freeCodeCamp.org (57% match) also aligning on topics like ai engineering and llm agents. IBM Technology and Jeff Su compete most directly on machine learning agents and llm agents, while freeCodeCamp.org targets rag applications, vector databases, and ai programming workflows. IBM Technology has 1.6M subscribers, Jeff Su also 1.6M, and freeCodeCamp.org leads with 11.5M subscribers, indicating a substantial size difference but overlapping search queries around AI agents, RAG applications, and building AI tools. The overlap centers on ai engineering, llm agents, and rag-related topics.

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%	93.6K	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; and freeCodeCamp.org — 57% match, 11.5M subscribers. They share a focus on AI, machine learning, and developer-focused content aimed at training or informing professionals, often featuring tutorials, explainers, and industry insights.

What type of content does AI Engineer make?

AI Engineer creates content about AI and intelligent agents, with video titles indicating tutorials, code demonstrations, and discussions with industry figures (e.g., AIE CODE Day 2 with major AI players, The New Code with Sean Grove, Never Build Agents but Build Skills, How We Build Effective Agents). Uploads appear regularly, with an average video view count around 403.5K, and recent titles range from 409.9K to 1.1M views.

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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