OpenAI Engineer: APIs, Libraries, Models, Agents SDK [5/2026, ENG] torrent

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OpenAI Engineer: APIs, Libraries, Models, Agents SDK

Год выпуска: 5/2026
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/openai-engineer-api/
Автор: Catalin Stefan
Продолжительность: 5h 2m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: This course is a complete, hands-on guide to mastering the OpenAI API and building modern AI applications with the latest OpenAI tools and technologies.

This is an Engineer's guide to using OpenAI and its libraries to build robust and efficient apps using AI and Agents.

OpenAI is at the center of the AI revolution, powering everything from chatbots and coding assistants to AI agents, voice systems, image generation, retrieval systems, and autonomous workflows. Knowing how to use these APIs effectively is becoming one of the most valuable skills in software engineering and AI development.

In this course, you will go from zero to advanced OpenAI development step by step.

Every section is designed around practical, real-world workflows and production-ready patterns.

By the end of this course, you will be confident building real AI applications using the OpenAI ecosystem, from simple prompts to advanced multi-agent systems and production-ready AI workflows.
[spoiler="Содержание"]
1 - Introduction
1. Introduction (05:00)
2. Vibe coding (05:09)
3. LLM Concepts (06:30)

2 - Setup and First Code
4. Section overview (01:12)
5. Installation on Mac (06:16)
6. Installation on Windows (05:08)
7. Client (02:51)

3 - Text generation
8. Section overview (02:24)
9. Responses vs Chat Completions (03:42)
10. Generate a response based on a prompt (05:18)
11. Roles (03:23)
12. Multi Turn Conversations Conversations API (04:16)
13. Deep research (05:28)
14. Streaming (02:47)
15. Reusable prompts (04:20)
16. Structured output (05:01)

4 - Vision and Image generation
17. Section overview (02:41)
18. Responses API vs Image API (03:31)
19. Image input for Responses API (05:18)
20. Image generation for Responses API (02:59)
21. Multi turn image generation (03:48)
22. Vision limitations (02:10)
23. Image generation for Image API (03:06)
24. Image input for Image API (01:57)
25. Image editing (04:25)
26. Streaming (03:52)
27. Image generation limitations (02:06)

5 - Video generation
28. Discontinued (01:04)
29. Section overview (02:00)
30. Start a render (05:11)
31. Image reference (04:19)
32. Character reference (03:58)
33. Editing (03:01)

6 - Audio and Speech
34. Section overview (01:49)
35. APIs (04:06)
36. Voice agents speech to speech (06:21)
37. Audio input (02:16)
38. Audio output (03:33)
39. Transcriptions API (02:55)
40. Speech API (02:27)
41. Putting it all together (03:17)

7 - Tools
42. Section overview (02:25)
43. Tools (04:06)
44. Function tools (03:55)
45. Custom tools (02:41)
46. Web search (03:30)
47. Shell (04:30)
48. Skills (06:16)
49. MCP (04:20)
50. Code interpreter (02:41)

8 - Retrieval Augmented Generation
51. Section overview (01:03)
52. RAG (04:03)
53. Setup vector store (03:19)
54. Retrieval (03:51)

9 - Other concepts
55. Section overview (02:08)
56. Counting tokens (04:28)
57. Conversation state (05:11)
58. Compaction (04:38)
59. Reasoning (04:14)
60. Background tasks (03:35)
61. Websockets (03:29)
62. Prompt caching (03:53)

10 - Evaluations
63. Section overview (01:14)
64. Evaluations (08:46)
65. Datasets (02:39)
66. Task definitions (01:49)
67. Graders (02:46)
68. Eval run (03:10)

11 - Agent SDK
69. Section overview (02:07)
70. Agent SDK (03:59)
71. Agents (07:37)
72. Running agent systems (03:50)
73. Multi agent systems orchestration (04:57)
74. Guardrails (04:37)
75. Sandboxing (04:50)

12 - Human In The Loop
76. Section overview (01:46)
77. Human In The Loop (04:32)
78. Tool approvals (03:53)
79. Agent as tool approval (03:33)
80. Automatic approval decisions (03:52)
81. Streaming (02:31)
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Файлы примеров: присутствуют
Формат видео: MP4
Видео: AVC, 1920x1080, 16:9, 30fps, 509kbps
Аудио: AAC, 44.1kHz, 127kbps, stereo
[spoiler="Скриншоты"]

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