|
RAR-files |
| lskwqgm71224.rar |
50,000,000 |
5988BA0A |
| lskwqgm71224.r00 |
50,000,000 |
DCC91677 |
| lskwqgm71224.r01 |
50,000,000 |
06B0ACAE |
| lskwqgm71224.r02 |
33,267,286 |
EE8B938E |
|
| Total size: |
183,267,286 |
|
|
| Archived
files |
|
00-Introduction\01-introduction_to_chatgpt_for_data_engineering.mp4
[a286569aaacb9c6]
|
3,800,828 |
9C338D3B |
|
00-Introduction\02-setting_expectations.mp4
[2d91dbc4ac638a44]
|
1,432,513 |
7FE59FF8 |
|
01-Prompt_Engineering_Basics\01-understanding_prompt_engineering.mp4
[efafdeb069dcc432]
|
14,128,167 |
4970D4A0 |
|
01-Prompt_Engineering_Basics\02-writing_effective_prompts_for_coding_tasks.mp4
[e9788e51777492ab]
|
7,609,245 |
A0A178D5 |
|
01-Prompt_Engineering_Basics\03-common_pitfalls_and_how_to_avoid_them.mp4
[ae5938752424a3e4]
|
12,719,960 |
D5D1B87B |
|
01-Prompt_Engineering_Basics\04-refining_prompts_for_better_results.mp4
[fe249df7115963c0]
|
6,168,561 |
54F48D84 |
|
01-Prompt_Engineering_Basics\05-using_contextual_prompts.mp4
[20e3d2a68cdc2e97]
|
7,258,584 |
32B5BCE8 |
|
01-Prompt_Engineering_Basics\06-combining_multiple_prompts_for_complex_tasks.mp4
[7ad03ef6fc2a8b02]
|
9,642,133 |
3B098CD5 |
|
02-Practical_Applications_Of_Chatgpt_In_Data_Engineering\01-generating_data_engineering_code_with_chatgpt.mp4
[ca04f7b8513db9d4]
|
10,541,119 |
F1C1EC19 |
|
02-Practical_Applications_Of_Chatgpt_In_Data_Engineering\02-automating_documentation_with_chatgpt.mp4
[fe32d2a8b84a1c46]
|
14,393,777 |
7F425483 |
|
02-Practical_Applications_Of_Chatgpt_In_Data_Engineering\03-debugging_data_pipelines_using_chatgpt.mp4
[4dc932dbc29eb9b9]
|
11,174,044 |
B8E1B6C9 |
|
02-Practical_Applications_Of_Chatgpt_In_Data_Engineering\04-optimizing_sql_queries_with_chatgpt.mp4
[cca0ffbd8c849ce1]
|
12,280,565 |
34F8EF6D |
|
02-Practical_Applications_Of_Chatgpt_In_Data_Engineering\05-using_chatgpt_for_data_cleaning_scripts.mp4
[32aec0e3b1c6f9df]
|
9,616,039 |
82B0D97C |
|
02-Practical_Applications_Of_Chatgpt_In_Data_Engineering\06-chatgpt_for_data_analysis_and_insights.mp4
[cb341fbacaf2dee7]
|
10,368,399 |
2CB0D8BC |
|
03-Advanced_Applications_In_Pyspark_And_Databricks\01-generating_pyspark_code_with_chatgpt.mp4
[f0744edd692a679b]
|
9,307,196 |
A2D631A4 |
|
03-Advanced_Applications_In_Pyspark_And_Databricks\02-optimizing_pyspark_jobs_using_chatgpt.mp4
[bd92833d244d5ce7]
|
10,476,417 |
A674A2D2 |
|
03-Advanced_Applications_In_Pyspark_And_Databricks\03-using_chatgpt_in_databricks_notebooks.mp4
[d48dc63e6b38c61]
|
6,084,958 |
6D88C283 |
|
04-Security_And_Ethical_Considerations\01-data_privacy_and_security_with_chatgpt.mp4
[e1712cdc0c2a47e]
|
8,088,285 |
9B2AF60C |
|
04-Security_And_Ethical_Considerations\02-ethical_ai_usage_in_data_engineering.mp4
[3997ff4a4e37634c]
|
10,457,338 |
92CC2F1A |
|
04-Security_And_Ethical_Considerations\03-ensuring_compliance_and_data_governance.mp4
[ea9e99e7a986e966]
|
5,526,651 |
B178BC97 |
|
05-Conclusion\01-next_steps.mp4
[77f9eb542ac32603]
|
1,467,249 |
C64C8D90 |
|
LERNSTUF\lernstuf.nfo |
1,819 |
F3BC8590 |
|
LERNSTUF\lernstuf_introduction_2024.rar |
720,281 |
C9126654 |
|
| Total size: |
183,264,128 |
|
|
