635.25 MB | 00:26:16 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
001  Part 1  The foundation  (2.81 MB)
002  Chapter 1  Understanding large language models  (21.2 MB)
003  Chapter 1  A developer s introduction to LLMs  (5.31 MB)
004  Chapter 1  When to use and when to avoid generative AI  (6.98 MB)
005  Chapter 1  Summary  (2.42 MB)
006  Chapter 2  Getting started with large language models  (33.94 MB)
007  Chapter 2  Let Copilot take control  (4.62 MB)
008  Chapter 2  Let CodeWhisperer speak loudly  (7.04 MB)
009  Chapter 2  Comparing ChatGPT, Copilot, and CodeWhisperer  (11.2 MB)
010  Chapter 2  Summary  (8.37 MB)
011  Part 2  The input  (2.48 MB)
012  Chapter 3  Designing software with ChatGPT  (9 MB)
013  Chapter 3  Asking ChatGPT to help with our system design  (11.29 MB)
014  Chapter 3  Documenting your architecture  (55.37 MB)
015  Chapter 3  Summary  (5.53 MB)
016  Chapter 4  Building software with GitHub Copilot  (29.54 MB)
017  Chapter 4  Weaving patterns, patterns, patterns  (21.21 MB)
018  Chapter 4  Plugging in ports and adapters  (33.74 MB)
019  Chapter 4  Summary  (6.11 MB)
020  Chapter 5  Managing data with GitHub Copilot and Copilot Chat  (26.2 MB)
021  Chapter 5  Monitoring our assets in real time with Kafka  (24.79 MB)
022  Chapter 5  Analyzing, learning, and tracking with Apache Spark  (14.93 MB)
023  Chapter 5  Summary  (5.47 MB)
024  Part 3  The feedback  (2.46 MB)
025  Chapter 6  Testing, assessing, and explaining with large language models  (43.92 MB)
026  Chapter 6  Assessing quality  (13.58 MB)
027  Chapter 6  Hunting for bugs  (5.19 MB)
028  Chapter 6  Covering code  (5.02 MB)
029  Chapter 6  Transliterating code from code to descriptions  (4.05 MB)
030  Chapter 6  Translating from one language to another  (7.85 MB)
031  Chapter 6  Summary  (6.7 MB)
032  Part 4  Into the world  (2.76 MB)
033  Chapter 7  Coding infrastructure and managing deployments  (21.73 MB)
034  Chapter 7  Standing up infrastructure by copiloting Terraform  (12.13 MB)
035  Chapter 7  Moving a Docker image around (the hard way)  (4.63 MB)
036  Chapter 7  Moving a Docker image around (the easy way)  (5.02 MB)
037  Chapter 7  Deploying our application onto AWS Elastic Kubernetes Service  (9.57 MB)
038  Chapter 7  Setting up a continuous integrationcontinuous deployment pipeline in GitHub Actions  (14.57 MB)
039  Chapter 7  Summary  (3.65 MB)
040  Chapter 8  Secure application development with ChatGPT  (38.47 MB)
041  Chapter 8  Scrutinizing application design and identifying potential vulnerabilities  (7.18 MB)
042  Chapter 8  Applying security best practices  (14.22 MB)
043  Chapter 8  Encrypting data at rest and transit  (22.07 MB)
044  Chapter 8  Summary  (3.11 MB)
045  Chapter 9  GPT-ing on the go  (5.11 MB)
046  Chapter 9  Hosting your own LLM  (28.75 MB)
047  Chapter 9  Summary  (3.94 MB)]
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