18 Weeks • Online & In-Person

AI & Machine Learning

Master Python, TensorFlow, PyTorch, and deep learning. Build intelligent systems with neural networks, natural language processing, and computer vision.

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Why Learn AI & Machine Learning?

AI is revolutionizing every industry. Build the intelligent systems that are shaping our future.

Revolutionary Tech

Transform industries with AI

Top Salaries

Average $110K+ per year

Future-Proof

Skills for tomorrow's jobs

Versatile

Apply across all sectors

Our AI & Machine Learning program takes you from Python basics to deploying production AI models. Learn from practitioners building real-world AI systems at leading tech companies.

Master neural networks, deep learning, computer vision, and NLP. Build projects including image classifiers, chatbots, recommendation systems, and predictive models using industry-standard tools.

Whether targeting ML engineer, data scientist, or AI researcher roles, gain the mathematical foundations and practical skills to excel in this rapidly evolving field.

What You'll Learn

Comprehensive AI & machine learning training covering theory, implementation, and deployment.

Machine Learning Fundamentals

  • Python programming & data structures
  • NumPy, Pandas, and Matplotlib
  • Supervised & unsupervised learning
  • Regression, classification, clustering
  • Model evaluation & optimization

Deep Learning & Neural Networks

  • Neural network architectures
  • TensorFlow and PyTorch
  • CNNs and RNNs
  • Transfer learning & fine-tuning
  • GPU acceleration & optimization

Computer Vision & NLP

  • Image classification & object detection
  • Semantic segmentation
  • Text processing & sentiment analysis
  • Transformers & BERT models
  • Generative AI & LLMs

AI Tools & Deployment

  • Scikit-learn & XGBoost
  • MLOps & model deployment
  • Docker & cloud platforms
  • API development with FastAPI
  • Model monitoring & maintenance

18-Week Curriculum

From Python fundamentals to deploying production AI models.

Weeks 1-3

Python & Math Foundations

Python programming, NumPy, Pandas, linear algebra, calculus, probability & statistics, data visualization with Matplotlib & Seaborn.

Weeks 4-6

Machine Learning Fundamentals

Supervised learning, regression, classification, decision trees, random forests, SVM, k-means clustering, model evaluation metrics.

Weeks 7-9

Deep Learning & Neural Networks

Neural network architectures, backpropagation, TensorFlow & PyTorch, CNNs, RNNs, LSTMs, transfer learning, hyperparameter tuning.

Weeks 10-12

Computer Vision & NLP

Image classification, object detection, YOLO, semantic segmentation, NLP fundamentals, transformers, BERT, GPT, sentiment analysis.

Weeks 13-15

Advanced Topics & Specialization

Reinforcement learning, GANs, autoencoders, recommendation systems, time series forecasting, explainable AI, ethical AI considerations.

Weeks 16-18

Capstone Project & Deployment

Build end-to-end AI project, MLOps, Docker containerization, cloud deployment (AWS/GCP/Azure), API development, model monitoring, portfolio building.

Frequently Asked Questions

Basic programming knowledge is helpful but not required. We start with Python fundamentals and build up gradually. If you're comfortable with logical thinking and basic computer use, you can succeed in this program.

A laptop with at least 8GB RAM is recommended. We'll teach you to use cloud platforms (Google Colab, AWS) for heavy computations, so you don't need an expensive GPU. Windows, Mac, or Linux all work fine.

High school level algebra is a good foundation. We cover the necessary linear algebra, calculus, and statistics in the first few weeks. The focus is on practical application rather than heavy mathematical theory.

Graduates work as Machine Learning Engineers, Data Scientists, AI Researchers, Computer Vision Engineers, and NLP Specialists. Average starting salary is $85K-$120K depending on experience and location.

Yes! We designed this program for career changers and beginners. You'll start with Python basics and build up to advanced topics. Our instructors provide personalized support and mentorship throughout the journey.

Yes, you'll receive a NextEra Labs certificate upon completion. More importantly, you'll build a strong portfolio of AI projects to showcase to employers, which is what hiring managers really want to see.