# Accessing The Api

- Course page: https://anytutor.ai/course/academy-claude-with-google-cloud-s-vertex-ai-en-US
- Lessons: 75

## Lessons

1. Accessing The Api (interactive micro-lesson)
2. Vertex AI Setup (interactive micro-lesson)
3. Making A Request (interactive micro-lesson)
4. Multi Turn (interactive micro-lesson)
5. System Prompts (interactive micro-lesson)
6. Temperature (interactive micro-lesson)
7. Response Streaming (interactive micro-lesson)
8. Controlling Model Output (interactive micro-lesson)
9. Structured Data (interactive micro-lesson)
10. Final check (quiz)
11. Prompt (interactive micro-lesson)
12. A Typical Eval Workflow (interactive micro-lesson)
13. Generating Test Datasets (interactive micro-lesson)
14. Running The Eval (interactive micro-lesson)
15. Model Based Grading (interactive micro-lesson)
16. Code Based Grading (interactive micro-lesson)
17. Final check (quiz)
18. Prompt (interactive micro-lesson)
19. Being Clear And Direct (interactive micro-lesson)
20. Being Specific (interactive micro-lesson)
21. Structure With Xml Tags (interactive micro-lesson)
22. Providing Examples (interactive micro-lesson)
23. Final check (quiz)
24. Introducing Tool Use (interactive micro-lesson)
25. Project Overview (interactive micro-lesson)
26. Tool Functions (interactive micro-lesson)
27. Tool Schemas (interactive micro-lesson)
28. Handling Message Blocks (interactive micro-lesson)
29. Sending Tool Results (interactive micro-lesson)
30. Multi Turn Conversations With Tools (interactive micro-lesson)
31. Implementing Multiple Turns (interactive micro-lesson)
32. Using Multiple Tools (interactive micro-lesson)
33. The Batch Tool (interactive micro-lesson)
34. Tools For Structured Data (interactive micro-lesson)
35. The Text Edit Tool (interactive micro-lesson)
36. The Web Search Tool (interactive micro-lesson)
37. Final check (quiz)
38. Introducing Retrieval Augmented (interactive micro-lesson)
39. Text Chunking (interactive micro-lesson)
40. Text (interactive micro-lesson)
41. The Full Rag Flow (interactive micro-lesson)
42. Implementing The Rag Flow (interactive micro-lesson)
43. Bm25 Lexical Search (interactive micro-lesson)
44. A Multi Index Rag Pipeline (interactive micro-lesson)
45. Reranking Results (interactive micro-lesson)
46. Contextual Retrieval (interactive micro-lesson)
47. Final check (quiz)
48. Extended Thinking (interactive micro-lesson)
49. Image Support (interactive micro-lesson)
50. Citations (interactive micro-lesson)
51. Prompt Caching (interactive micro-lesson)
52. Rules Of Prompt Caching (interactive micro-lesson)
53. Prompt Caching In Action (interactive micro-lesson)
54. Final check (quiz)
55. Introducing MCP (interactive micro-lesson)
56. MCP Clients (interactive micro-lesson)
57. Project Setup (interactive micro-lesson)
58. Defining Tools With MCP (interactive micro-lesson)
59. The Server Inspector (interactive micro-lesson)
60. Implementing A Client (interactive micro-lesson)
61. Defining Resources (interactive micro-lesson)
62. Accessing Resources (interactive micro-lesson)
63. Defining Prompts (interactive micro-lesson)
64. Prompts In The Client (interactive micro-lesson)
65. MCP Review (interactive micro-lesson)
66. Final check (quiz)
67. Agents And Workflows (interactive micro-lesson)
68. Parallelization Workflows (interactive micro-lesson)
69. Chaining Workflows (interactive micro-lesson)
70. Routing Workflows (interactive micro-lesson)
71. Agents And Tools (interactive micro-lesson)
72. Environment (interactive micro-lesson)
73. Workflows Vs Agents (interactive micro-lesson)
74. Final check (quiz)
75. Final check (quiz)

---
Full lesson content is on the course page (https://anytutor.ai/course/academy-claude-with-google-cloud-s-vertex-ai-en-US). Please cite that URL.