Learn365Days · AI Learning Journey

Learn AI in 365 Days

365 Days of AI is a structured learning journey that takes you from AI fundamentals and machine learning to LLMs, generative AI, RAG, AI agents, agentic AI, AI engineering and production systems — one lesson at a time.

365 Days365 LessonsBeginner → AdvancedEnglish + HinglishFree

One journey. The complete AI picture.

This course is designed as a connected learning path rather than a collection of disconnected AI tips. You progressively build understanding from fundamentals to real systems, projects and production thinking.

AI Fundamentals→Machine Learning→Deep Learning→NLP & Transformers→LLMs & GenAI→RAG & LLM Engineering→AI Agents→Agentic AI→Production AI
365Daily lessons
32Learning categories
20Hands-on projects
2Language versions

Course roadmap

The curriculum moves from core concepts to increasingly practical AI systems, ending with projects and AI engineering decisions.

Days 1–75

AI + Machine Learning Foundations

AI fundamentals, ML paradigms, algorithms, feature engineering and model evaluation.

Days 76–120

Deep Learning, Vision + Sequence Models

Neural networks, CNNs, RNNs, LSTMs, GRUs and the foundations of NLP.

Days 121–160

Transformers, LLMs + Generative AI

Attention, transformer architecture, LLMs, sampling, hallucinations and generative models.

Days 161–192

Prompt Engineering + RAG

Prompting methods, structured prompting, embeddings, vector search, retrieval and RAG systems.

Days 193–213

LLM Engineering

Fine-tuning, LoRA, quantization, local models, MCP, tool calling, APIs and structured outputs.

Days 214–270

Automation, Agents + Agentic AI

AI workflows, agent loops, tools, memory, planning, multi-agent systems and orchestration.

Days 271–312

Security, MLOps + Responsible AI

Prompt injection, data privacy, deployment, observability, evaluation, governance, ethics and risk.

Days 313–335

AI Future + Multimodal + Advanced Agents

AGI concepts, world models, multimodal AI, computer-use systems and end-to-end agentic builds.

Days 336–365

Projects + AI Engineering

Build practical systems, connect the complete AI stack and learn production-ready decision making.

All 365 lessons

Search the complete curriculum by topic, or filter by category. The lesson sequence below follows the curriculum you provided.

Start with Day 1. Keep learning every day.

Follow the sequence, build the mental model layer by layer, and use the projects to turn concepts into practical understanding.

Frequently asked questions

Is this course only for AI engineers?

No. The curriculum starts from first principles and gradually moves toward technical AI engineering, agents and production systems. Learners can progress according to their goals.

Do I need a computer science background?

The curriculum begins with foundational concepts before moving into machine learning, deep learning, LLM engineering and agents. Some later lessons are more technical than the early lessons.

Can I learn in Hinglish?

Yes. Learn365Days is designed to provide this journey in both English and Hinglish, so you can choose the language version that feels more comfortable for the course.

What will I learn by the end?

The curriculum covers AI fundamentals, ML, deep learning, NLP, transformers, LLMs, generative AI, prompting, RAG, fine-tuning, automation, AI agents, agentic AI, security, MLOps, responsible AI, multimodal AI, projects and AI engineering.

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