Applied Data Science and Machine Learning
From ML fundamentals to LLMs and vector databases
Taught by Amit Singh — Senior software engineer at Amazon with 12+ years of experience building scalable distributed systems.
No job-placement promises — we make you interview-ready with real mock interviews and honest feedback.
Applied Data Science and Machine Learning
Course overview
Comprehensive data science course covering machine learning, deep learning, neural networks, transformers, and modern LLM applications. Includes hands-on projects with real-world datasets.
Duration
12 weeks
Format
Live + Offline
Problems
26+
Difficulty
Intermediate
What You'll Learn
Curriculum at a glance
| Week | Focus | Key topics | Problems |
|---|---|---|---|
| 1 | Python for Data Science | NumPy & Array Operations, Pandas DataFrames & Series, Data Cleaning & Feature Engineering | 3 |
| 2 | Statistics & Probability | Descriptive Statistics & Distributions, Hypothesis Testing & A/B Tests, Bayesian Statistics | 3 |
| 3 | Machine Learning Fundamentals | Linear & Logistic Regression, Decision Trees & Random Forests, SVMs & Ensemble Methods, Clustering & Dimensionality Reduction | 4 |
| 4 | Deep Learning & Neural Networks | Neural Network Foundations, CNNs for Computer Vision, RNNs & LSTMs for Sequences, Training Techniques & Regularization | 4 |
| 5 | Natural Language Processing | Text Preprocessing & Tokenization, Word Embeddings (Word2Vec, GloVe), Sequence-to-Sequence Models | 3 |
| 6 | Transformers & LLMs | Attention Mechanism Deep Dive, GPT, BERT & Model Architectures, Fine-tuning & Prompt Engineering | 3 |
| 7 | Vector Databases & RAG | Vector Embeddings & Similarity Search, Pinecone, Weaviate & ChromaDB, Building RAG Applications | 3 |
| 8 | ML System Design & Deployment | ML System Design Patterns, Model Serving & Monitoring, MLOps & CI/CD for ML | 3 |
Course Curriculum
Total: 26+ problems
Note: Curriculum may vary based on cohort progress and student needs. All enrolled students get lifetime access to course materials and recordings.
Meet Your Instructor
Amit Singh
AlgoEngineer Instructor
Senior software engineer at Amazon with 12+ years of experience building scalable distributed systems. Holds a Master's degree in Computer Science with a concentration in Artificial Intelligence and Machine Learning from Arizona State University (GPA 3.92). Claude Certified Architect, AWS Certified Developer and Oracle Certified Java Programmer, with deep expertise in data structures, algorithms, system design, and full-stack development. Passionate about mentoring engineers and helping them crack FAANG interviews through structured, pattern-based learning.
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