What you'll learn
Explore related topics
This course includes:
Course content
-
01:00
-
#01-CONTENT01:00
-
#23 How to build a voice powered real time Image gen webapp with Flux and Groq prompt helper42:11
-
01:00
-
9x_batchapi_walkthrough01:00
-
10x_universal_chat01:00
-
Best way to use cursorrules file(IMO)11:41
-
Building a frankenthought-chat combining answers from all reasoning models deepseek, o1, qwq & gemini flash thinking with final synthesis24:29
-
Cursor deep dive (FREE TO WATCH 💝)27:44
-
Cursor self improving o1 agent building experiment17:46
-
How to build a Full Stack ChatGPT clone with FastAPI using Cursor Composer. Added August 546:59
-
How to build a Full Stack Fastapi webapp builder with o1 and Sonnet24:58
-
How to build a FullStack Guided Meditation app with Fastapi59:04
-
How to build a Groq chatbot17:40
-
How to build a Multi modal RAG system with chroma DB29:15
-
How to build a Realtime Voice agent with tools using livekit and python26:44
-
How to build a Swarm intelligence44:42
-
How to build a Universal chat with multiple models13:24
-
How to build a form filling(resume) AI chat full stack webapp33:28
-
How to build a market research app21:50
-
How to build a math and physics problem generator to test LLMs with21:37
-
How to build a memory system for LLMs25:47
-
How to build an AI scientist38:08
-
How to build an AI with Genetic Algorithm that learns to play the snake game17:32
-
How to build an Arxiv RAG Researcher. Added July 1207:27
-
How to build an o1 Oracle which performs long range research using perplexity on any given topic1:32:13
-
How to build an o1 coding team project manager, coders are Claude Sonnets.49:24
-
How to build a o1 Auto Teacher that builds educational websites with text, images and audio26:57
-
How to build a perplexity research webapp with fastapi using new Sonnet and Cursor Composer1:28:03
-
How to build automatic persona generator21:27
-
How to build a writing assistant with Llama 405b via Groq API18:12
-
How to build with OpenAI batch API coding walkthrough11:33
-
How to get GPT to watch multiple videos at the same time14:00
-
How to integrate web search for any LLM api call20:08
-
How to use Rules for AI(under Cursor settings) - 1000x Course20:53
-
How to use cursorrules file, regular and step by step method explained27:08
-
LESSONS01:00
-
Live coding workshop with Patrons part 159:26
-
Live coding workshop with Patrons part 249:01
-
Multi solution generating o1 data scientist29:13
-
Multi stage critique system with reasoning models as depseek-r1 & gemini-flash-thinking33:06
-
Openrouter_exa_integrated_web_Search_files_and_video01:00
-
Tool calling agents basics12:47
-
UPDATED How to build an o1-mini Data scientist- Scored top 1% in Kaggle challenge01:00
-
UPDATED O1 DATA SCIENTIST- CODE AND VIDEO01:00
-
Using Cursor as a stock analyst17:49
-
agent(with_perplexity_tool_remove this_when_using)01:00
-
arxiv-rag-researcher-with-gpt-July-12 (1)01:00
-
building an o1 tool calling research agent with .cursorrules file1:31:05
-
chatgpt_clone_cursor_composer_august_5_2024 (1)01:00
-
combined chat with all reasoning models files adn video01:00
-
cursor_live_coding_part_1_august_10th01:00
-
cursor_live_coding_part_2_august_10th01:00
-
cursor as stock analyst code and video files01:00
-
cursor self improving agent building process code and video01:00
-
flux realtime image gen project files and video01:00
-
form filling AI chat webapp01:00
-
full stack fastapi webapp builder code and video01:00
-
full stack meditation app files and video01:00
-
genetic_algorithm_learns_to_play_snake_August_12th01:00
-
gpt_watches_multiple_videos_simultenously (1)01:00
-
groq_chatbot_speed_coding01:00
-
how to build a data scientist code and video01:00
-
how to build an AI scientist_August_25th01:00
-
how to build a writing assistant with evaluation agents using structured outputs1:02:16
-
how to create a math and physics problem generator01:00
-
live kit realtime voice agent files and video01:00
-
market-research-app-coding-walktough-live-commentary (1)01:00
-
memory_extractor_coding_walkthrough_no_commentary01:00
-
multi-modal-rag-live-commentary (1)01:00
-
multi-thinking-models-critique-system-files-and-video01:00
-
multi solution o1 data scientist code and video01:00
-
o1 auto teacher code and video01:00
-
o1_coding_team_manager01:00
-
o1_oracle_v1_perplexity1:32:13
-
o1_oracle_v1_project files01:00
-
o1_tool_calling_research_agent01:00
-
perplexity finance researcher webapp with fastapi01:00
-
persona_generator_walkthrough (1)01:00
-
swarm_intelligence_batch (1)01:00
-
tool calling agents basics code and video01:00
-
writing_assistant_with_eval_agents01:00
-
writing assistant with llama 405b-using-groq-api_July_2301:00
-
#01-CONTENT01:00
-
01-05-24 1000x Lab building research agents, list making, effects of promting nicely New1:39:36
-
01-12 1000x Lab Free o1, o1 use cases, building threaded agents, cursor as data scientist, cursor as data analyst and more2:05:44
-
01-12 1000x lab files and links01:00
-
01-19-24 1000x Lab(NO SOUND 😭) building research agents, list making, effects of promting nicely2:03:14
-
1-19-1000x-lab-meeting01:00
-
01-26 1000x Lab API integrated web search, extracting reasoning from deepseek-r1 and multi-thinking systems, solving GPQA New1:59:20
-
01-26-1000x-lab-files01:00
-
02-09 1000x Lab o3-4 and singularity, deep research custom use cases, debugging, multi-cursor-rules57:17
-
2-09-meeting-files01:00
-
9.15 Architect+ AMA building a o1-mini data scientist and solving a kaggle challenge1:39:27
-
9.22 Architect+ AMA building a Contextual RAG from Antropic research1:09:52
-
9.29 Architect+ AMA deploying apps on railway in minutes + building a guided meditation app1:01:26
-
10.6 Architect+ AMA Building a free LLM apps webapps for patrons1:29:07
-
10.13 Architect+ AMA Building an o1 researcher FastAPI webapp1:14:34
-
10.20 Architect+ AMA GenesisMind, Podcast maker and GenAI video1:05:10
-
10.27 Architect+ AMA Beautiful auto completing writing assistant webapp with Groq API56:06
-
11.10 Architect+ AMA Website building and improving auto coder1:06:57
-
11.29 Architect+ AMA Step by step apps with Cursor and Windsurf13:42
-
12-29-24 1000x Lab o3, using o1, agents, AVM api1:37:02
-
12-29-24 1000x meeting01:00
-
12.8 Architect+ AMA Cursor nightly, agentic cursor, o1 for ideation, games with AI56:59
-
12.15 Architect+ AMA Openai swarm and book maker with up to date info from perplexity57:08
-
auto write with completions01:00
-
book_maker01:00
-
contextual RAG01:00
-
guided_meditation_app01:00
-
o1-researcher webapp fastapi01:00
-
o1_data_Scientist01:00
-
rearch_agents-prompting-nicely-list making01:00
-
website_auto_coder01:00
-
#01-CONTENT01:00
-
AUTO AGI Code Review01:00
-
Code files for Dynamic Duo Agi Agents and Code Interpreter Transform Task Execution01:00
-
Code files for GPT-4 Auto Agi Agent gets communicating swarm intelligence as a tool upgrade01:00
-
Code files for GPT agent that actually works and writes01:00
-
Code files for Voice controlled Auto AGI with swarm and multi self launch capabilities01:00
-
Code review for AUTO AGI - Patrons exclusive21:06
-
ORIGINAL_AUTO_AGI01:00
-
Original Auto AGI now availabe at $30 tier01:00
-
Swarm_Auto_AGI01:00
-
code_files01:00
-
swarm AGI super powers01:00
-
voice controlled Auto AGI with swarm01:00
-
#01-CONTENT01:00
-
(all files) GPT-4 AUTO CODER SELF IMPROVER video ALL code files01:00
-
(basic files) GPT-4 AUTO CODER SELF IMPROVER01:00
-
AUTO_CODER_ALL_FILES01:00
-
AUTO_CODER_BASIC01:00
-
Auto Coder V 4 Code Review Exclusive video with code files Patre28:26
-
CODE_FILES (2)01:00
-
CODE_FILES (3)01:00
-
CODE_FILES01:00
-
Code files for Auto Coder codes a GPT text adventrue gmae,web automation tools and musci01:00
-
Code files for GPT-3 Auto Coder 3 with Code Interpreter01:00
-
Code files for GPT Auto Coder V.401:00
-
Code files for chatgpt auto builder codes multi files applications form basic descriptions video01:00
-
Code files for function calling Auto Coder App Maker01:00
-
Dueling Auto Coders01:00
-
GPT-3 Auto Code exectuting debugger code files01:00
-
GPT-3 Auto Coder 201:00
-
GPT-3 Multi thereaded Auto Coder for simulaneous multiple code generation01:00
-
GPT-4 Auto Codes websites with HTML, CSS and JavaScript video files01:00
-
UPDATED GPT 4 Auto Coder streamlit files01:00
-
code01:00
-
code_files (1)01:00
-
code_files (4)01:00
-
code_files (5)01:00
-
dueling_auto_coders01:00
-
instructions_to_run01:00
-
main_self_improve_debugger01:00
-
main_self_improve_parallel_app_ST01:00
-
updated_auto_coder_single_thread_with_st (1)01:00
-
updated_auto_coder_single_thread_with_st (2)01:00
-
updated_auto_coder_single_thread_with_st01:00
-
updated_code01:00
-
#01-CONTENT01:00
-
AutoGen multi agent01:00
-
Code Files for AutoGen Depp Dive with Multi Agent interactions01:00
-
Code Files for AutoGen Introduction in 5 files step by step incluging how to enable Docker01:00
-
Code Files for Multi Agent Autogen and Group Chat implementations step by step walkthrough01:00
-
autogen01:00
-
autogen_deep_dive01:00
-
license01:00
-
#01-CONTENT01:00
-
1_basics01:00
-
01_first_steps_request_validation_response_models01:00
-
2_advanced_concepts01:00
-
02_html_response_story_maker_webapp01:00
-
3_example_apps01:00
-
03_page_design_and_databases01:00
-
4_multi_threading_in_streamlit01:00
-
Assistants_API_step_by_step_Updated_20_December01:00
-
Exclusive Streamlit course for Patrons UPDATED 5.1002:10
-
Instructor_Updated_20_december01:00
-
Learn FastAPI with GPT code examples UPDATED Dec 2603:10
-
dalle3-tts story to website01:00
-
everything Assistants API part_1 (1)01:00
-
everything Assistants API part_101:00
-
everything Assistants API part_201:00
-
gpt_4_vision_speech_examples01:00
-
license01:00
-
new_openai_library_Updated_20_december01:00
-
older_openai_library_0.2801:00
-
#01-CONTENT01:00
-
1_basics01:00
-
2_advanced_concepts01:00
-
3_example_apps01:00
-
4_multi_threading_in_streamlit01:00
-
Auto Interviewer_v101:00
-
Code Files and Exclusive video for Auto Interviewer29:32
-
Code files and Exclusive video for testing latest OpenAI model Embeddings large, small and gpt4 012531:48
-
Code files and exclusive full video for Searching for secrets in library of babel using GPT 4 API43:34
-
Converting 10.000 rows to SQLite vector store in parallel. Exclusive coding walkthrough28:11
-
Exclusive Streamlit course for Patrons UPDATED 5.1002:10
-
FastAPI + GPT Full stack webapp exclusive video. uses websockets, deployed at railway41:26
-
GPT narrates your work from screenshot of your screen04:56
-
OpenAI speech and Opus realtime voice chat async explanation video13:56
-
Patrons Exclusive Coding walkthrough coding a streamlit UI for Auto Coder28:18
-
SQLite+embeddings_coding_walkthrough01:00
-
auto_coder_streamlit_UI01:00
-
fastpython website01:00
-
goodwiki dataset01:00
-
gpt_narrator01:00
-
library_of_babel_search01:00
-
openaitts_claude_twoway_voice_chat01:00
-
testing_new_openai_models01:00
-
#01-CONTENT01:00
-
Automating fine tuning data generation using GPT 4 code files01:00
-
Code + dataset + embeddings for Auto generate fine tuning data for GPT 3.5 or other open source models01:00
-
Code Files for Automated fine tune gpt 3.6 turbo for Function calling01:00
-
Code file only for Auto generate fine tuning data for GPT 3.5 or other open source models from a single prompt01:00
-
Code files for Fine tune GPT 3.5 Turbo in Python. Sept by step instructions for entire procces01:00
-
Simplifyng Fine Tuning Jsonl dataset generation with a Python script Code files01:00
-
automating fine tuning dataset01:00
-
code + dataset + embeddings01:00
-
code files only01:00
-
fine_tune_dataset_maker01:00
-
fine tuning gpt01:00
-
llama auto fine tune01:00
-
#01-CONTENT01:00
-
All code files for Full stack GPT Webapp summaries of latest Arxiv LLM papers01:00
-
CODE (1)01:00
-
CODE_FILES (2)01:00
-
ChatGPT UI01:00
-
Code FIles for FastAPI chatgpt web app using OpenAI api with HTML01:00
-
Code files for Build WebApps form a csv file and deploy to railwayapp01:00
-
Code files for Chatgpt with htmx, MongoDB and Tailwind video01:00
-
Code files for Htmx + Tailwing GPT01:00
-
Code files for chatgpt wbr app biolerplate with streaming responses built with html, Tailwinf css and JavaScript01:00
-
Code files for how to build and deploy a GPT web app. with conversation history deployed on railway video01:00
-
FastAPI + GPT Full stack webapp exclusive video. uses websockets, deployed at railway41:26
-
GPT-4 API with streaming responses,chat history, streamlit, gradio UI, Java script01:00
-
GPT-4 codes ChatGPT chatbot with memory webapp with FastAPI01:00
-
Non webapp code files for Full stack GPT Webapp summaries of latest Arxiv LLM papers01:00
-
basic_non_webapp_files (1)01:00
-
basic_non_webapp_files01:00
-
code01:00
-
code_files (1)01:00
-
code_files (3)01:00
-
code_files (4)01:00
-
code_files (5)01:00
-
code_files01:00
-
code files for ChatGPT wrb UI locally for GPT-4 using FastAPI01:00
-
coed_files01:00
-
htlm,css,js,python_files01:00
-
webapp_code_files01:00
-
#01-LESSONS01:00
-
ALL_CODE_FILES01:00
-
All Code files for Basic Code files for Prototype01:00
-
All files for GPT-4 Codes near perfect Langchain01:00
-
All files for Voice control multiple GPT agents at the same time01:00
-
CODE_FILES (4)01:00
-
Code + dataset + embeddings for Aut generate01:00
-
Code FIles for OpenAI Function Calling stress test with 20 functions and 100 questions01:00
-
Code Files for Automated fine tune gpt 3.5 turbo for Function calling01:00
-
Code file only for Auto geneate fine tuning data for GPT 3.501:00
-
Code files for Function calling,Self correcting GPT auto coder01:00
-
Code files for GPT-3 Code near perfect Langchain code using Vector01:00
-
Code files for GPT agent that actully works and writes01:00
-
Code files for Streaming responses with GPT Function Calling01:00
-
Code files for Voice controlled Auto AGI with swarm and multi self launch capabilities01:00
-
Code files for function calling Auto Coder App Maker builds multi file apps01:00
-
Code files for function calling with chatgpt01:00
-
Code files ofor gpt function calling deep dive01:00
-
all_code_and_data_with_vectordb_csv01:00
-
boilerplate_streaming_func01:00
-
code + dataset + embeddings01:00
-
code_files (1)01:00
-
code_files (2)01:00
-
code_files (3)01:00
-
code_files (5)01:00
-
code_files01:00
-
code_files_without_extracted_code_and_vectordb01:00
-
code files only01:00
-
llama auto fine tune01:00
-
requirements01:00
-
updated_code01:00
-
voice_agents_all_files01:00
-
voice controlled Auto AGI with swarm01:00
-
#01-CONTENT01:00
-
ALL_CODE_FILES01:00
-
All Code files for Basic Coe files01:00
-
Code Files for Cummunicating Swarm01:00
-
Code files for 3gpt-4 agents communicate to build application code01:00
-
Code files for GPT-4 Auto AGI Agent gets communicating swarm01:00
-
Code fles for Dynamic Duo01:00
-
SWARM_GPT_COMUNICATING_CODE_FILES01:00
-
Swarm_Auto_AGI01:00
-
multi agent coder01:00
-
swarm AGI super powers01:00
-
#01-CONTENT01:00
-
01:00
-
Instructor Exclusive Deepdive for AI Architect+ Patrons31:04
-
instructor_deep_dive01:00
-
library_of_babel_search01:00
-
license01:00
-
.Langchain Chain Your Large Languae model and chat with a superhero chatbot01:00
-
All files for GPT01:00
-
CITATION01:00
-
Code files for GPT-4 Codes near perfect Langchain code using Vector db from docuemntation video01:00
-
Custom Langchain agent.tools with memory video code files01:00
-
GPT-3 searches the internet video files01:00
-
How to install Unstructured for Lngchain Document loaders01:00
-
Langchain ChatGPT your comentes video files01:00
-
Langchain ChatGPT your data challenge PART2 video files01:00
-
Langchain Summary and QA with Chromadb OpenAi Embeddings vector store with token count01:00
-
all_code_and_data_with_vectordb_csv01:00
-
code_files (1)01:00
-
code_files (2)01:00
-
code_files01:00
-
code_files_without_extracted_code_and_vectordb01:00
-
corrected_main_file_for_memory01:00
-
ingest_data01:00
-
langchain_agents_tools01:00
-
langchain memory types python file01:00
-
main01:00
-
memory_types01:00
-
prompt01:00
-
query_data01:00
-
requirements01:00
-
#01-CONTENT01:00
-
All Files for GPT-4 Code nar perfect Llama Index01:00
-
CODE_FILES (1)01:00
-
Code Files for Automated fine tune gpt 301:00
-
Code_files_without_extracted_code_and_embeddings01:00
-
Code files and crawled files01:00
-
Code files for LLama Index01:00
-
Code files for LLama Index Semantic Search01:00
-
Code files for Synthesieze answers over multimple invidual Vector Indices01:00
-
code_files01:00
-
llama auto fine tune01:00
-
#01-CONTENT01:00
-
All files for Next js + FastAPI + Python imprementation of real-time chat sentiment analysis with GPT-4 Omni01:00
-
Gpt-40 chat app builg with Vercel AI SKD + Next JS whits streaming responses01:00
-
Multiple LLM Agents perform analysis on an ongoing conversation. Next JS project with Vercel AI SDK02:14
-
multi-agent-chat-nextjs01:00
-
nextjs-chat-app01:00
-
realtime-sentiment-analysis-ALL-FILES01:00
Requirements
- Basic programming knowledge in any language is helpful but not required
- A computer capable of running Cursor IDE and development tools
- Willingness to learn AI-assisted development methodologies
- Interest in improving coding productivity and efficiency
Description
AI Architect – Cursor Mastery – Zero to Expert – 23 Hours of Practical Development takes you through a comprehensive journey into AI-assisted software development using Cursor IDE. This extensive program is designed to transform how you approach coding by integrating artificial intelligence into every phase of the development process. Whether you are new to AI-powered development tools or looking to refine your existing skills, this course provides the structured pathway needed to become proficient in modern AI-assisted programming.
The learning journey begins with foundational concepts that introduce you to Cursor IDE and its core capabilities. You will explore the interface, understand how AI suggestions work, and learn to set up your development environment for optimal productivity. Early modules focus on helping you understand the underlying principles of AI pair programming, where the AI acts as an intelligent assistant that understands context, suggests code, and helps you solve problems faster. You will learn how to communicate effectively with the AI through prompts, understanding what works and what does not when requesting code generation or explanations.
As you progress, the course moves into practical coding exercises where you begin building real applications. You will work through multiple project scenarios that demonstrate how to leverage Cursor’s capabilities across different programming languages and frameworks. These hands-on exercises teach you to write better prompts, review AI-generated code critically, and integrate suggestions seamlessly into your workflow. You will learn how to use Cursor for tasks ranging from writing boilerplate code to implementing complex algorithms, always with an emphasis on understanding rather than blind acceptance of AI output.
Intermediate sections dive deeper into advanced Cursor features that significantly boost productivity. You will explore code refactoring techniques where AI helps you improve existing code structure, readability, and performance. The course covers debugging strategies that use AI to identify and fix errors more efficiently than traditional methods. You will practice pair programming scenarios where you alternate between writing code yourself and letting the AI assist, learning when to rely on automation and when to apply your own judgment.
The program dedicates substantial time to project-based learning, where you build complete applications from scratch. These projects span various domains including web development, automation scripts, data processing tools, and more. Each project is designed to reinforce specific skills while also teaching you how to manage larger codebases with AI assistance. You will learn to maintain code quality, implement testing strategies, and ensure that AI-generated code meets professional standards. Throughout these projects, emphasis is placed on developing a critical eye for evaluating AI suggestions and making informed decisions about what to accept or modify.
Advanced modules focus on integrating Cursor into professional development workflows. You will learn best practices for version control when working with AI-assisted code, how to document AI-generated sections appropriately, and strategies for collaborating with team members who may or may not be using similar tools. The course covers workflow optimization techniques that help you configure Cursor for maximum efficiency in your specific development context. You will explore customization options, keyboard shortcuts, and productivity hacks that experienced users employ to get the most out of the tool.
The course also addresses common challenges and limitations of AI-assisted development. You will learn to recognize situations where AI suggestions may be incorrect, insecure, or inefficient, and develop strategies to validate and improve generated code. Security considerations receive special attention, teaching you to audit AI-generated code for vulnerabilities and ensure that your applications meet industry security standards. Performance optimization techniques show you how to refine AI suggestions to create efficient, scalable code rather than accepting the first working solution.
Throughout the program, you will develop a professional mindset toward AI-assisted development. The course emphasizes that AI tools are productivity multipliers, not replacements for programming knowledge and critical thinking. You will learn to balance speed with quality, automation with understanding, and efficiency with best practices. By the end of the course, you will have completed multiple substantial projects, gained fluency in communicating with AI coding assistants, and developed the skills to integrate these tools confidently into any development workflow. The 23 hours of practical content ensure you have ample time to practice, experiment, and truly master the art of AI-assisted software development using Cursor IDE.
Who this course is for:
AI Architect - Cursor Mastery is ideal for software developers seeking to enhance productivity through AI-assisted coding tools, programming beginners wanting to accelerate their learning with intelligent assistance, experienced coders looking to modernize their workflow with cutting-edge AI technology, freelancers aiming to deliver projects faster without compromising quality, and anyone interested in understanding how artificial intelligence is transforming software development practices.Instructor
AI Architect
About Me
We are AI Architect, an organization dedicated to bridging the gap between artificial intelligence technology and practical software development. Our mission centers on empowering developers, engineers, and technology professionals to harness AI tools effectively in their daily work. We emerged from the recognition that while AI-powered development tools are rapidly evolving, many professionals lack structured guidance on how to integrate these tools into their workflows productively and responsibly.
Our team consists of experienced software engineers, AI specialists, and educational designers who have spent years working at the intersection of artificial intelligence and software development. We have witnessed firsthand how AI coding assistants can transform productivity when used correctly, and we have also seen the pitfalls that come from misunderstanding or misusing these powerful tools. This dual perspective shapes our educational approach, which emphasizes both the capabilities and limitations of AI-assisted development.
We focus on creating comprehensive, practical training programs that go beyond surface-level tutorials. Our content is built on real-world development scenarios, professional best practices, and hands-on project work. We believe that effective AI-assisted development requires more than learning keyboard shortcuts or memorizing prompts. It demands a deep understanding of how to communicate with AI systems, critically evaluate their output, and integrate them seamlessly into professional workflows.
Our philosophy centers on AI as a productivity multiplier rather than a replacement for fundamental programming skills. We design our training to help professionals become more efficient and capable, not dependent on tools they do not understand. We emphasize code quality, security awareness, and critical thinking alongside technical proficiency. Our approach has helped hundreds of developers modernize their workflows while maintaining the professional standards their work requires. We continue to evolve our content as AI development tools advance, ensuring our community stays current with the latest techniques and best practices in this rapidly changing field.
Relative Courses