The Learning Path
A structured journey through AI concepts with a thoughtful perspective. Follow the path at your own pace, reflecting deeply on each lesson.
Foundations
How LLMs Work (Without Scaring You)
Peek inside the mind of an LLM using stories, not formulas.
What Are Tokens, and Why Should You Care?
How words become numbers—and why that shapes everything AI does.
Prompting 101 – How to Ask Better Questions
Learn the art of asking in a way machines understand deeply.
Prompt Templates – Structure the Mind of Your AI
Use structure and clarity to guide your AI toward better answers.
Hands-On with OpenAI & HuggingFace – First Response
Write your first prompt, run your first API call, decode your first reply.
Intro to Embeddings & Vector Stores – How AI Remembers
Discover how AI maps meaning into math—and never forgets.
Thinking
Context Windows – Why AI Forgets (and How to Help)
Learn how AI's limited memory shapes responses—and how to stretch it effectively.
Intro to RAG – How AI Looks Things Up
Let your AI tap into external knowledge using Retrieval-Augmented Generation.
Memory in AI – Working Beyond One-Shot Prompts
Go beyond isolated prompts and give your AI long-term memory.
Multi-Step Thinking – From Zero-Shot to Chain-of-Thought
Teach your AI to think step-by-step instead of jumping to answers.
Tool Use in LLMs – Browsing, Calculators & More
Plug tools into your AI's workflow and see its abilities expand.
OpenAI Functions & Tools – Grounded Outputs via APIs
Guide AI outputs with structured APIs and custom tools.
Agentic AI – Giving Models Autonomy
Move beyond task-based prompts to goal-driven agents that act intelligently.
Capstone
Project Kickoff – What is Vaarta? Who Is It For?
Begin your capstone by defining a purpose-driven AI agent system.
Dataset & Embeddings – Creating a Knowledge Soul
Feed your agent meaningful context it can reason with using vectors.
Retrieval Agent – Extracting the Right Wisdom
Build a fast, focused retrieval layer that connects questions to answers.
Commentary Agent – Interpreting with Empathy
Train your AI to not just answer—but reflect and reframe with nuance.
Reflection Agent – Summarizing and Suggesting Paths
Add introspective powers to your agent through summaries and suggestions.
Memory & Personalization – Evolving with the User
Give your agent the gift of long-term connection and evolving insight.
Real-World Use Cases – Company Policies, HR Docs & More
Expand your Vaarta agent into practical domains that make a difference.
Bonus
Fine-Tuning vs Prompt Engineering – What to Choose When
Decide when to guide AI with prompts, and when to change its DNA.
Cost, Tokens, Latency – Running Efficient AI Systems
Learn to build fast, cost-conscious systems without sacrificing quality.
Deploying Your Agent – Streamlit, Gradio, PWA
Make your agent real by wrapping it in an interface and shipping it.
Hosting Open-Source LLMs – Mistral, LLaMA, GGUF
Step into the world of self-hosted models and run AI on your terms.
Building AI with Indian Languages
Create tools that understand and speak to Bharat in its native tongues.
Ethical AI – Hallucination, Bias, and Responsibility
Be a responsible builder. Tame the risks that come with power.
Spiritual UX – Designing AI That Feels Like a Friend
Design interfaces that don’t just respond—but resonate.
Open-Source Contribution & GitHub for AI Builders
Step into the world of shared innovation and make your mark.
What Next? How to Keep Growing with Dharma + AI
Anchor your growth in clarity, service, and continued exploration.
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