HomeCoursesAce the AI Engineer Interviews

4.4

Intermediate

10h

Updated 3 months ago

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.

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Overview

Content

Reviews

This course prepares candidates to confidently tackle AI interviews by covering the most relevant and in-demand topics. You’ll explore neural network training (gradient descent, transfer learning, model compression), language processing (tokenization, embeddings, decoding), and transformer attention mechanisms (self-, cross-attention, and flash attention). You’ll gain a solid understanding of evaluation metrics like perplexity, BLEU, and ROUGE, and dive into modern AI challenges including hallucinations, jailbreaks, and interpretability. You’ll also learn cutting-edge methods such as RAG, few-shot learning, and Chain-of-Thought prompting—plus explore efficiency, scalability, Mixture of Experts, vector databases, and agentic AI behaviors.

This course prepares candidates to confidently tackle AI interviews by covering the most relevant and in-demand topics. You’ll e...Show More

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

An understanding of strategies for training, optimizing, and fine-tuning neural networks and generative AI models

TAKEAWAY SKILLS

Generative AI

Transformer Models

Large Language Models (LLMs)

Content

34 Lessons3 Quizzes

Introduction

1 Lessons

Master generative AI skills for successful interviews and real-world applications.

Course Overview

Neural Network Training and Optimization

7 Lessons

Review the fundamental aspects and techniques behind training models efficiently, from optimization parameters to advanced training strategies.

Neural Networks Training

Synthetic Data Generation

Embeddings and Tokenization

3 Lessons

Explore embeddings, tokenization, and beam search for effective AI text generation.

Attention Mechanisms

6 Lessons

Explore key attention mechanisms, normalization techniques, and evaluation metrics in transformer models.

Evaluation Techniques

2 Lessons

Master key metrics for evaluating language models, including perplexity, BLEU, and ROUGE.

Model Architectures and Comparisons

7 Lessons

Explore AI model selection, scaling laws, evaluation methods, and challenges in generative AI.

Learning Techniques

4 Lessons

Master techniques to enhance large language models for effective AI/ML applications.

Scalability and Efficiency

3 Lessons

Explore advanced AI concepts like Mixture of Experts, vector databases, and agentic errors.

Wrap Up

1 Lessons

Recap what you covered in the course.

Fundamentals of Generative AI

Mock Interview

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.8 million developers working at companies

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ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Software Developer

Carlos Matias La Borde

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

Vinay Krishnaiah

Software Developer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

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