Ace the AI Engineer Interviews
Sharpen your skills for AI interviews by diving deep into neural networks, NLP, and transformer models. Master techniques like gradient descent, transfer learning, and model evaluation to stand out.
- 34 lessons across 9 modules
- 2 quizzes with instant feedback
- 1 AI mock interview with scoring rubrics
- AI Tutor on every lesson
Dr. Khayyam Hashmi is a seasoned computer scientist and Generative AI and Machine Learning specialist. As a researcher, educator, and the VP of Technical Content at Educative, he is dedicated to making complex computing concepts accessible for learners worldwide. With a PhD in Computer Science from Wayne State University and academic publications in service-oriented systems and intelligent computing, Khayyam excels at fusing an academic perspective with practical software engineering insights. Khayyam’s courses, writing, and research spans technical topics including adaptive AI systems, neural networks, Intelligent tutoring systems, and production-ready software design.
Join 3.1 million developers at
What You'll Learn
- An understanding of strategies for training, optimizing, and fine-tuning neural networks and generative AI models
- Familiarity with tokenization, embeddings, and decoding techniques used in language models and frequently tested in AI interviews
- An understanding of attention mechanisms and architectural innovations that power transformer models
- Familiarity with tools and metrics to evaluate generative model performance and output quality
- Comparative knowledge of AI model architectures, scaling laws, and interpretability methods
- An understanding of advanced techniques for prompting, retrieval-augmented generation (RAG), and few-shot learning
- Familiarity with key concepts in making generative models more efficient, scalable, and robust in production
Learning Roadmap
2.
Neural Network Training and Optimization
Neural Network Training and Optimization
3.
Embeddings and Tokenization
Embeddings and Tokenization
3 Lessons
3 Lessons
4.
Attention Mechanisms
Attention Mechanisms
6 Lessons
6 Lessons
5.
Evaluation Techniques
Evaluation Techniques
2 Lessons
2 Lessons
6.
Model Architectures and Comparisons
Model Architectures and Comparisons
7 Lessons
7 Lessons
7.
Learning Techniques
Learning Techniques
4 Lessons
4 Lessons
8.
Scalability and Efficiency
Scalability and Efficiency
3 Lessons
3 Lessons
Khayyam Hashmi
Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.
Trusted by 3.1 million developers working at companies
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
Software Developer
Carlos Matias La Borde
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Built for 10x Developers
Free Resources
