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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