Machine Learning Courses and Certifications

Integrating Spring AI with DeepSeek

Master SpringAI integration with DeepSeek to build interactive AI experiences using Spring Boot architecture, model tuning, conversation management, and system prompts.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Whizlabs

Azure ML: Explore & Configure the Machine Learning Workspace

Explore Azure ML workspace configuration, compute management, and data handling to build scalable machine learning solutions and prepare for DP-100 certification.

• Coursera
• 7 hours 1 minute
• Self-Paced
• Paid Course

Practical Applications of spaCy for Real-Life Tasks

Master practical spaCy applications through hands-on case studies, from spam detection and entity recognition to legal document analysis - all using real-world scenarios.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Creating a Personal Tutor with DeepSeek in Python

Discover how to build an AI-powered personal tutor using DeepSeek's API, mastering query handling, parameter tweaking, session management, and system prompts for tailored educational experiences.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Hypertuning Classical Models

Master systematic hyperparameter optimization techniques using grid search, random search, and cross-validation strategies to transform weak ML baselines into high-performing models.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Foundations of Retrieval Augmented Generation Systems with Java

Master RAG systems in Java: combine retrieval with LLMs, use vector databases, apply embeddings for semantic search, and build complete end-to-end pipelines.

• CodeSignal
• 7 hours
• Self-Paced
• Free Certificate
• 4 courses

Career Certificate

Optimizing Prompts with DSPy

Master DSPy framework to build robust AI systems through modular programming, evaluation metrics, and automated prompt optimization without brittle manual prompting.

• CodeSignal
• 6 hours
• Self-Paced
• Free Certificate
• 3 courses

Introduction to RAG with Java

Discover Retrieval-Augmented Generation fundamentals in Java, exploring how combining retrieval with generation reduces AI hallucinations through practical workflows and implementations.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Building a Vector Search Engine with ChromaDB

Master ChromaDB to build intelligent vector search systems with embedding generation, semantic retrieval, and scalable optimization techniques.

• CodeSignal
• 8 hours
• Self-Paced
• Free Certificate
• 4 courses

Career Certificate

Introduction to RNN for Time Series Forecast with TensorFlow

Master RNN, LSTM, and GRU techniques in TensorFlow for time series preprocessing, modeling, forecasting, and classification across univariate and multivariate datasets.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Packt

Real-world End to End Machine Learning Ops on Google Cloud

Master the complete ML lifecycle on Google Cloud with CI/CD pipelines, Vertex AI, Kubeflow, and automated deployment using real-world hands-on projects and industry best practices.

• Coursera
• 9 hours 13 minutes
• Self-Paced
• Paid Course

Career Certificate

Mastering Gradient Boosting with XGBoost & LightGBM

Master gradient boosting techniques using XGBoost, LightGBM, and CatBoost to build, tune, and interpret powerful models for real-world classification problems with hands-on practice.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate
• 3 courses

Career Certificate

Implementing AI Algorithms from Scratch in C++ (Part 1)

Master machine learning fundamentals by building regression, classification, and optimization algorithms from scratch in C++ without high-level libraries.

• CodeSignal
• 13 hours
• Self-Paced
• Free Certificate
• 3 courses

Classification Algorithms and Metrics

Dive into classification algorithms by building Logistic Regression, k-NN, Naive Bayes, and Decision Trees from scratch without libraries, plus implement AUCROC metrics.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Gradient Descent: Building Optimization Algorithms from Scratch

Master optimization algorithms by implementing SGD, Mini-Batch GD, Momentum, RMSProp, and Adam from scratch in C++ without relying on high-level libraries for deep understanding.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate