Sentiment Analysis Courses and Certifications

PASS Data Community Summit

Sentiment Analysis Using Cognitive Services in Power BI - Achieving AI Analytics

Learn to perform text analytics and sentiment analysis using Cognitive Services in Power BI, enhancing your AI-driven data analysis capabilities.

• YouTube
• 58 minutes
• Self-Paced
• Conference Talk

Camunda

Configuring and Using the Camunda Hugging Face Connector for Customer Sentiment Analysis

Learn to configure and use Camunda Hugging Face Connector for analyzing customer sentiment in BPMN processes. Integrate machine learning to improve customer interactions and automate decision-making based on sentiment analysis.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Red Hat Developer

Building Sentiment Analysis with Kafka and AI/ML

Explore sentiment analysis using Kafka and AI/ML with Red Hat technologies through an interactive demo of a retail customer use case.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

The Machine Learning Engineer

Microsoft ML.NET Framework: Sentiment Analysis Application in C#

Explore sentiment analysis using ML.NET in C#. Learn to develop applications that analyze text sentiment with Microsoft's machine learning framework.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

echohive

Real-time Chat Sentiment Analysis with Next.js, FastAPI, and Python - GPT-4 Implementation

Explore real-time chat sentiment analysis implementations using Python, FastAPI, and Next.js with GPT-4 integration for advanced AI-powered text analysis.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Venelin Valkov

Fine-tuning Tiny LLM for Sentiment Analysis - TinyLlama and LoRA on a Single GPU

Learn to fine-tune TinyLlama for sentiment analysis using LoRA on a single GPU. Covers dataset preparation, model setup, training, and evaluation to improve predictions with custom data.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Venelin Valkov

Fine-Tuning Alpaca- Train Alpaca LoRa for Sentiment Analysis on a Custom Dataset

Learn to fine-tune Llama 7B with Alpaca LoRa on a custom bitcoin sentiment dataset. Covers data preprocessing, model training, and performance analysis for sentiment detection in cryptocurrency tweets.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Venelin Valkov

Fine-Tuning Qwen3 on Your Data Using Single GPU - Sentiment Analysis for Cryptocurrency Tweets

Learn how to fine-tune Qwen3 (0.6B) on custom data for sentiment analysis of cryptocurrency tweets, from data preparation to model evaluation, using LoRA for efficient training on a single GPU.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Venelin Valkov

Build Dataset for Fine-Tuning and Evaluation with LLM - Sentiment Analysis for Financial News

Master dataset annotation using Gemini 2.5 Flash Lite for financial news sentiment analysis, covering data transformation and LLM-powered labeling techniques.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Venelin Valkov

Fine-Tuning LLM on Custom Dataset with Single GPU - Complete Tutorial for Sentiment Analysis

Master fine-tuning Qwen3 0.6B on financial news sentiment analysis using LoRA adapter, dataset prep, training setup, and model evaluation with single GPU implementation.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Usercentrics

Ethical AI for Social Listening - Brand Monitoring and Sentiment Analysis

Discover how to implement ethical AI in social listening for brand monitoring and sentiment analysis while maintaining transparency and privacy standards.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Venelin Valkov

LLM Evaluation on a Custom Dataset with MLflow and Ollama - Financial News Sentiment Analysis

Discover how to evaluate 4 local LLMs using MLflow and Ollama for financial news sentiment analysis to find the best model for your specific dataset and task.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

AWS Events

Solving Real-Time Sentiment Analysis - From Data Chaos to Elastic Streaming

Discover how to build scalable real-time sentiment analysis pipelines, migrate from batch to streaming architectures, and handle unpredictable data volumes with elastic solutions.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Data Science: Natural Language Processing (NLP) in Python

12911 ratings at Udemy

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

• Udemy
• 11 hours 56 minutes
• Self-Paced
• Paid Course

Python ML Advanced

2 ratings at CreativeLive

Explore NLP techniques, sentiment analysis, and ML-powered Flask web apps. Build recommendation systems using Naive Bayes, TextBlob, and Vader with hands-on projects.

• CreativeLive
• 30 hours
• 17th Aug, 2026
• Paid Course