Learn AI & Machine Learning. Build real understanding.
Don’t just use AI tools — build a clear understanding of how AI, Machine Learning, Deep Learning, LLMs, Generative AI, RAG and AI Agents actually work, starting from the fundamentals.
AI & ML learning journey
At Learn365Days, AI is taught as a guided learning journey rather than a collection of isolated topics — moving from the basics to modern AI systems and production thinking.
365 Days of AI — From Zero to Agentic AI
A structured long-form journey that starts with AI and ML fundamentals, then progresses through Deep Learning, NLP, Transformers, LLMs, Generative AI, RAG, AI Agents, Agentic AI, AI Security, MLOps and practical projects.
What you will learn
See the major learning areas from the 365-day curriculum in one visual roadmap. The detailed day-by-day syllabus is available on the dedicated course pages.
AI Fundamentals
What AI is, how data and models work, and how AI differs from traditional software.
Machine Learning
Supervised, unsupervised and reinforcement learning, algorithms, datasets and model learning.
ML Engineering
Features, preprocessing, pipelines, tuning, data leakage and practical model preparation.
Deep Learning
Neural networks, activations, backpropagation, optimization and training concepts.
Computer Vision
CNNs, image classification, object detection, segmentation and vision applications.
NLP & Transformers
Text processing, embeddings, attention, Transformer architecture, BERT and GPT.
LLMs
Tokens, context windows, parameters, sampling, pretraining and hallucinations.
Generative AI
Core ideas and use cases behind text, image, audio, video and code generation.
Prompt Engineering
Prompt structure, examples, templates, chaining and better instruction following.
RAG
Embeddings, vector databases, semantic search, chunking, retrieval and evaluation.
AI Agents & Agentic AI
Tools, memory, planning, reasoning, action loops, orchestration and multi-agent systems.
Production AI
Security, MLOps, LLMOps, evaluation, monitoring, cost and reliable AI systems.
See AI as a system
The journey is designed to build connected mental models instead of isolated concepts.
Choose your learning language
The same learning journey is available in two language experiences, so language does not become an unnecessary barrier to learning.
Learn AI in 365 Days
A structured AI journey in English with clear explanations and progressive learning for beginners.
Open English CourseLearn AI in 365 Days — Hinglish
Learn through accessible Hinglish explanations while keeping important technical terminology consistent in English.
Open Hinglish CourseWhy this AI journey is structured this way
The goal is not just to memorize definitions or tool lists. The goal is to build a connected mental model that can be applied to new AI concepts.
Start with foundations
Build a strong foundation in AI, data, models and learning without skipping the basics.
Move toward modern AI
The curriculum gradually moves from ML to Deep Learning, Transformers, LLMs, RAG and agents.
Connect theory with systems
Projects, workflows, deployment, security and evaluation connect the concepts to real AI systems.
Who is this for?
The journey is beginner-friendly, while later stages progressively introduce deeper technical ideas.
Start your 365-day AI journey.
One lesson at a time. From fundamentals to advanced systems. Choose the learning language that works best for you: English or Hinglish.
AI & Machine Learning FAQ
Quick answers to common questions before you choose the course.
Is this the full 365-day AI course?
Yes. `/learn-ai-in-365-days/` hosts the English version and `/learn-ai-in-365-days-hinglish/` hosts the Hinglish version of the full 365-day journey. `/ai-ml/` is the subject hub and entry point for the journey.
Do I need to know coding already?
The journey starts with AI and ML fundamentals. Later lessons progressively introduce more technical concepts and projects.
Is the course only about Generative AI and ChatGPT?
No. The curriculum covers AI fundamentals, classical ML, Deep Learning, Computer Vision, NLP, Transformers, LLMs, Generative AI, RAG, agents, security, operations, responsible AI and projects.
What is the difference between English and Hinglish?
The learning path is the same. The main difference is the explanation language: the English version is English-first, while the Hinglish version uses easier Hindi-English explanations while keeping most technical terminology in English.
Learn365Days course pages are designed as guided self-learning experiences. Course completion is not presented as a substitute for an accredited degree, certification, or formal university program.