Course Statistics
500+
Students Enrolled
87%
Completion Rate
4.7/5
Average Rating
✓ Prerequisites
Basic computer knowledge
No prior ML experience required
Willingness to practice regularly
Dedication to learning AI fundamentals
★ What You'll Learn
Python basics for ML
Neural networks and deep learning
Large Language Models (LLMs)
Prompt engineering
Model training and deployment
Real-world AI projects
🎯 Industrial Experts
Learn from industry leaders and experienced professionals who bring real-world expertise to the classroom.
ML & AI Architecture
Former Senior ML Engineer at leading AI company with 12+ years experience
Deep Learning Specialist
Published researcher in neural networks with expertise in computer vision
LLM Expert
Specializes in transformer models and fine-tuning with real-world deployments
Data Engineering
Expert in data pipelines and scalable ML infrastructure
🎓 About This Course
GenXEraAI is committed to providing practical AI and ML training to help students become industry-ready. We focus on hands-on projects and real-world applications. Our comprehensive curriculum covers everything from ML basics to advanced LLM fine-tuning, ensuring you're equipped with the latest skills needed in the AI industry.
Course Syllabus (4 Weeks)
Week 1: Python, ML Basics & Fundamentals
- NumPy, Pandas, Matplotlib
- Data preprocessing techniques
- Supervised vs Unsupervised learning
- Linear & Logistic Regression
- Decision Trees & Random Forests
Week 2: Neural Networks & Deep Learning
- Perceptrons & Backpropagation
- TensorFlow & Keras
- CNN for image classification
- RNN & LSTM for sequences
- Transfer learning
Week 3: Generative AI & LLMs
- Transformer architecture
- Attention mechanisms
- Prompt engineering
- Fine-tuning LLMs
Week 4: Deployment & Capstone
- Model deployment strategies
- Docker & containerization
- Real-world capstone project
- Portfolio building
Ready to Start Learning?
Join hundreds of students who have transformed their careers with our comprehensive training programs.