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Artificial intelligence (AI) uses computers and other machines to accomplish complicated tasks typically associated with the human mind — like problem-solving and decision-making.
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- Prepare for the AIF-C01 AWS Certified AI Practitioner certification exam covering machine learning basics, AI services, data preparation and model deployment.
- Includes 12 Courses
- Beginner Friendly.7 hours
- Get certified in Azure AI Fundamentals with AI-900. Learn Azure Machine Learning capabilities, machine learning techniques, NLP workloads, and conversational AI.
- Includes 15 Courses
- Beginner Friendly.21 hours
- Prepare for AWS MLS-C01 Machine Learning certification covering model building, training, tuning, deployment, and cloud-based ML implementation.
- Includes 18 Courses
- Intermediate.17 hours
- Learn AI and machine learning fundamentals on Oracle Cloud Infrastructure. Prepare for the 1Z0-1122-25 exam with practical OCI AI concepts, perfect for beginners.
- Includes 23 Courses
- Beginner Friendly.25 hours
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- Portfolio projectAI • Python • Machine learning • Data science
Classifying Banking Intent from Customer Queries
This project demonstrates an end-to-end AI engineering project for an NLP task that involves building a classification system predicting banking intent from customer queries by comparing traditional neural networks with modern transformer-based models finetuned with LoRA.Independent,Portfolio Ready - Portfolio projectAI • Python • Data science • Machine learning
Build an AI Agent for Travel Planning
Create an AI-powered trip planning application using Streamlit that demonstrates your skills in building agentic AI systems with tool calling, real-time data integration, and user feedback loops.Independent,Portfolio Ready - Practice projectAI • Machine learning • Python • Data science
Classifying CIFAR-10 with Pretrained CLIP: Original vs Reconstructed Images
Explore how image reconstruction quality affects zero-shot classification performance of a pretrained CLIP model on CIFAR-10.More guidance, - Practice projectPython • AI • Data science • Machine learning
Build Neural Networks for Classifying Digits and Time-Series Predictions
Apply your knowledge of neural network architectures by building and training various models for classification and time series prediction tasks using popular real-world datasets.More guidance,
Related articles
- Article
Kimi Claw: Use OpenClaw Bot on your Browser
Learn what Kimi Claw is, how it compares to OpenClaw, and how to set up your 24/7 AI agent in one click and no terminal needed. - Article
How to Build Autonomous AI Agents Using Copilot Studio
Learn how to build autonomous AI agents using Microsoft Copilot Studio to automate email processing, CRM updates, and enterprise workflows. - Article
How to Fine-Tune Google Gemma 270M with Unsloth and QLoRA
Learn to fine-tune Google Gemma 270M and 1B models with Unsloth and QLoRA on free Google Colab. - Article
Run GLM-4.7 Flash Locally: Step-by-Step Installation
Learn how to run GLM-4.7 Flash locally on your hardware with complete system requirements and installation guidance.