Valuemax Tech Academy
VALUEMAX® Tech Academy
🧠 2026 Edition

Artificial IntelligenceEngineering & Development

48
Days
ML
NLP
Vision
LLMs
MLOps
Prod

What this course is

End-to-end AI engineering—classical ML, deep learning, NLP, computer vision, LLMs, and shipping models responsibly.

What you will use it for

Intelligent products, chatbots, document AI, forecasting engines, and research prototypes scaled toward production.

Careers after completion

AI engineer, ML engineer, NLP/CV specialist, AI solutions architect (junior), research engineer.

Why we learn it this way

The outline progresses from math foundations to deployed systems so ‘AI’ means engineering discipline, not hype tools only.

Course Outline

Phase 1 — Math Foundations & Python for AI (Days 1–7)
Day 1Linear Algebra for Machine Learning
Day 2Calculus & Optimisation for Deep Learning
Day 3Probability & Statistics for ML
Day 4Advanced Python & NumPy for AI
Day 5Data Manipulation with Pandas
Day 6Data Visualisation for ML
Day 7Week 1 Integration — Data Science Project
Phase 2 — Classical Machine Learning (Days 8–14)
Day 8ML Fundamentals & Theory
Day 9Linear Models — Theory & Implementation
Day 10Tree-Based Methods
Day 11Support Vector Machines & Kernels
Day 12Instance-Based & Probabilistic Learning
Day 13Ensemble Methods & Boosting
Day 14Week 2 Integration — ML Competition Project
Phase 3 — Deep Learning Foundations (Days 15–21)
Day 15Neural Networks — Mathematics & Theory
Day 16Optimisation Algorithms for Deep Learning
Day 17PyTorch Fundamentals & Deep Dive
Day 18TensorFlow & Keras Deep Dive
Day 19Regularisation & Generalisation
Day 20Training Deep Networks — Advanced Techniques
Day 21Week 3 Integration — Deep Learning Project
Phase 4 — CNNs & Computer Vision (Days 22–32)
Day 22CNN Fundamentals & Mathematics
Day 23Classic CNN Architectures
Day 24ResNet, DenseNet & Skip Connections
Day 25Efficient Architectures & Mobile CNNs
Day 26Vision Transformers & Attention
Day 27Object Detection — Two-Stage Detectors
Day 28Object Detection — One-Stage Detectors
Day 29Image Segmentation
Day 30Advanced Computer Vision Techniques
Day 31CV Integration Project — Day 1
Day 32CV Integration Project — Day 2
Phase 5 — NLP & Transformers (Days 33–44)
Day 33NLP Foundations & Text Processing
Day 34Word Embeddings & Distributed Representations
Day 35Recurrent Neural Networks for NLP
Day 36Transformer Architecture Deep Dive
Day 37BERT & Encoder-Only Transformers
Day 38GPT & Decoder-Only Transformers
Day 39T5 & Encoder-Decoder Transformers
Day 40Hugging Face Transformers Library
Day 41Advanced NLP Tasks
Day 42LLMs & Instruction Tuning
Day 43NLP Integration Project — Day 1
Day 44NLP Integration Project — Day 2
Phase 6 — Production ML & Capstone (Days 45–48)
Day 45Model Optimisation & Compression
Day 46Model Deployment & Serving
Day 47MLOps & Production Pipeline
Day 48Final Capstone Project