Applied Artificial Intelligence & Machine Learning: Quizzes

Applied Artificial Intelligence & Machine Learning: Quizzes – taught by Himanshu Kaushik – is a hands‑on Udemy assessment course that lets you verify AI and ML expertise for free in 2026. Updated July 2026, this free [course topic] course covers classic Machine Learning, Deep Learning, NLP, and Generative AI, helping you ace technical interviews and earn a Udemy certificate. Practical quiz explanations turn theory into real‑world readiness, making it one of the most comprehensive free AI course options online.

What You'll Learn

• Build a solid foundation in core Machine Learning algorithms such as Random Forests, SVMs, and gradient‑boosting models.
• Master deep‑learning concepts, including back‑propagation, loss functions, and architecture design for CNNs and RNNs.
• Learn NLP pipelines from tokenization to transformer‑based language models, emphasizing text vectorization techniques.
• Understand Generative AI fundamentals, Large Language Models, and prompt‑engineering strategies for real‑world applications.
• Create end‑to‑end AI assessment projects that simulate technical interview scenarios.
• Implement model‑evaluation metrics and validation methods to gauge algorithm performance accurately.
• Analyze common pitfalls in AI reasoning and how detailed explanations improve problem‑solving skills.
• Apply best practices for transitioning from software development to AI‑focused roles.

Course Details

• Instructor: Himanshu Kaushik
• Level: All Levels
• Language: English (en‑US)
• Includes: Lifetime access, detailed answer explanations, mobile‑friendly quiz interface

What This Course Covers

Classic Machine Learning

• Evaluate algorithms like Random Forests, Support Vector Machines, and Gradient Boosting.
• Compare supervised vs. unsupervised learning scenarios.
• Apply model‑selection techniques and hyper‑parameter tuning.
• Interpret confusion matrices and ROC curves for performance insight.

Deep Learning Foundations

• Design neural networks with appropriate layer configurations.
• Implement back‑propagation and gradient descent optimizations.
• Explore convolutional neural networks for image processing tasks.
• Build recurrent neural networks for sequence modeling and time‑series data.

Natural Language Processing (NLP)

• Perform tokenization, stemming, and lemmatization on raw text.
• Construct word embeddings using TF‑IDF, Word2Vec, and BERT.
• Apply transformer architectures for language understanding.
• Evaluate NLP models with BLEU, ROUGE, and perplexity metrics.

Generative AI & Prompt Engineering

• Understand Large Language Model (LLM) architectures and training pipelines.
• Craft effective prompts to guide model outputs for various tasks.
• Explore Retrieval‑Augmented Generation (RAG) for knowledge‑enhanced responses.
• Assess ethical considerations and bias mitigation in generative systems.

Assessment Strategy & Interview Prep

• Practice timed quizzes that mirror real technical interview formats.
• Review detailed explanations to close knowledge gaps instantly.
• Track progress through built‑in performance dashboards.
• Simulate end‑to‑end AI project reviews for portfolio building.

Who Should Take This Course

• Aspiring Machine Learning Engineers preparing for interview assessments.
• Data Scientists seeking a structured AI knowledge audit before certification.
• Software developers transitioning into AI‑focused roles and needing rapid skill validation.
• AI enthusiasts who want to measure mastery of Generative AI and LLM concepts.
• University graduates aiming to strengthen their resume with a Udemy AI certification.

Prerequisites

• No prior experience needed — the course is beginner‑friendly and covers all levels.
• Basic programming knowledge in Python is recommended for deeper understanding.
• Familiarity with linear algebra or statistics helps but is not mandatory.

Why Enroll in This Course

This free‑coupon Udemy offering provides a 100 % off, limited‑time chance to test AI knowledge without financial risk. The detailed explanations after each quiz ensure you learn why an answer is correct, not just the answer itself. Compared with standard tutorials, the assessment‑first approach accelerates interview readiness and highlights real‑world skill gaps. Enroll now before the coupon expires, and start mastering AI concepts today.