Back to Courses
Generative AI for Software Engineers & Developers
Generative AIBeginner

Generative AI for Software Engineers & Developers

ProviderUdemy
Duration4.5 total hours
PricePaid
#AI#Udemy#Generative AI

About this Course

The "Generative AI for Software Engineers & Developers" course is designed to empower modern developers with the skills to integrate cutting-edge AI tools into the software development lifecycle. Beginning with a solid foundation, the course explains What is Generative AI through real-world examples, followed by an exploration of how GenAI works, covering Transformer and Diffusion models. Learners will clearly differentiate predictive AI from generative AI in software contexts, understanding how GenAI transforms tasks like code generation, bug fixing, documentation, DevOps automation, and architecture design. Practical examples include working with GPT-4, Claude 3, Codex, Gemini 1.5, and CodeLlama.A deep dive into the architecture of LLMs explains Transformer Networks and Self-Attention, alongside concepts like tokenization, context windows, and model limitations. Learners will compare fine-tuning vs in-context learning and study specialized code LLMs like Codex, StarCoder, CodeGen, and AlphaCode. Hands-on sessions introduce accessing model APIs via OpenAI, Hugging Face, and Anthropic. The course also builds expertise in prompt engineering covering effective principles, zero-shot, one-shot, few-shot prompting, Chain of Thought (CoT) and Tree of Thought (ToT) techniques, and creating reusable prompt templates.Moving into application design, learners will explore AI-suggested architecture patterns, generate ER diagrams, sequence diagrams, conduct architectural trade-off analyses, and evaluate technology stacks. Practical coding modules teach multi-file code generation, class/module/function creation, code refactoring using SOLID/DRY principles, adding documentation, and GenAI-driven PR reviews. Further sections focus on static analysis, bug detection, unit/integration testing, Dockerfile/Kubernetes manifest generation, IaC scripting, and monitoring setup using Prometheus and Grafana.Security is integrated through secure code generation, threat modeling prompts, complianc

Ratings & Reviews Separation

Compare student feedback directly from the course provider with ratings submitted by the AIWay community.

Udemy RatingsOfficial Provider
4.5
Provider rating
Verified student count: 2,762 reviews. This data is refreshed regularly via platform sync endpoints.
AIWay CommunityAIWay Platform
0.0
Community rating
We have compiled 0 community student reviews. Feedback is written by verified AIWay accounts who completed this course.

Community Rating Distribution

5
0
4
0
3
0
2
0
1
0

Share Your Feedback

Please log in to submit a review.

Log In / Sign Up

AIWay User Reviews (0)

Loading community reviews...