Course Overview
- Course Title: AI Hero: A 12-Month Journey Taking You from Zero to Expert
- Instructor: School of AI (AI Academy)
- Target Audience:
- Absolute beginners in AI, machine learning, and programming
- Professionals transitioning into AI/ML careers
- Entrepreneurs seeking AI applications for business
- Students aiming for AI engineering or data science roles
- Prerequisites:
- No prior AI or programming experience required
- Basic computer literacy (installing software, file navigation)
- Access to a computer (Windows/Mac/Linux) with ≥8GB RAM
- Stable internet connection for downloads
- Optional: Prior Python exposure (not mandatory)
Curriculum Highlights
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Key Topics Covered:
- Python programming for AI (from scratch)
- Mathematics for AI: Linear algebra, calculus, probability, statistics
- Data handling: NumPy, Pandas, Matplotlib/Seaborn
- Machine Learning (ML):
- Supervised/unsupervised learning (regression, classification, clustering)
- Algorithms: Linear regression, logistic regression, k-NN, decision trees, random forests, SVM
- Model evaluation, hyperparameter tuning, bias-variance tradeoff
- Deep Learning (DL):
- Neural networks, CNNs (computer vision), RNNs (sequential data)
- TensorFlow & PyTorch frameworks
- Transformers for NLP (e.g., chatbots, sentiment analysis)
- Generative AI:
- Autoencoders, VAEs, GANs, diffusion models (e.g., Stable Diffusion)
- Reinforcement Learning (RL):
- Q-learning, DQNs, PPO, AI agents (LangChain, AutoGPT)
- MLOps & Deployment:
- Flask/FastAPI, Docker, cloud platforms (AWS/GCP/Azure)
- Capstone Project: End-to-end AI solution for portfolio
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Key Skills Learned:
- Proficiency in Python for AI/ML applications
- Mathematical foundations for AI model development
- Data preprocessing, visualization, and analysis
- Building, training, and evaluating ML/DL models
- NLP techniques (embeddings, transformers, chatbots)
- Generative AI model implementation (GANs, VAEs)
- Reinforcement learning agent design
- Model deployment (APIs, containers, cloud)
- End-to-end AI project execution
Course Format
- Duration:
- 30 hours on-demand video
- 156 articles
- 159 downloadable resources
- Format:
- Self-paced online course
- Project-based learning (12-month structured curriculum)
- Lifetime access on mobile, TV, and desktop
- Resources:
- Downloadable code templates, datasets, and tools
- Quizzes and exercises for reinforcement
- Certificate of completion