AI Foundations course designed specifically for software developers who are new to AI, GenAI, LLMs, RAG, AgenticAI
Description
AI is changing software development. But before you start building AI agents, RAG applications, or LLM-powered systems, you need the right mental model.
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This AI Foundations course is designed specifically for software developers who are new to AI, Generative AI, LLMs, RAG, and Agentic AI.
In this course, we’ll build the foundation one concept at a time and connect the dots between traditional software development and modern AI.
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What You’ll Learn
– We’ll start with the fundamentals: Traditional Software vs. AI
– What is Machine Learning?
– How Neural Networks work?
– What is an LLM?
– What is Generative AI?
– What is RAG?
– What is an AI Agent?
– What is Agentic AI?
And how all these technologies fit together.
Who Is This Course For?
This course is for Software developers beginning their AI journey
– Backend and full-stack developers
– Data engineers
– Engineering leaders
– Architects
– Technology professionals
Anyone who understands software but wants to understand how modern AI systems actually work. You don’t need to be a data scientist or AI researcher. If you understand programming, APIs, databases, and basic software architecture, you already have a strong foundation to start learning AI.
The Goal
The goal isn’t to memorize AI terminology. The goal is to understand how the pieces fit together so you can confidently start building AI-powered applications.
About the Instructor
Rahul Anand is a technology executive with over 20 years of leadership experience in global engineering, data, and platform organizations. Holding professional certifications in Cloud Architecture, Data Science, and AI, Rahul specializes in designing scalable enterprise data platforms and applying the next generation of AI and Agentic frameworks.
| Total Students | 376 |
|---|---|
| Duration | 38 mins |
| Language | English (US) |
| Number of lectures | 5 |
| Number of quizzes | 0 |
| Total Reviews | 14 |
| Global Rating | 4 |
| Instructor Name | Rahul Anand |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 38 mins
- Practical value: 6/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Clear Explanation
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Clear Explanation
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
New learners starting from zero
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