AI From Zero to Builder
A hands-on journey for beginners to understand AI, build AI applications, create RAG systems and AI agents, automate real workflows, and ship their own AI product.
📅
Class scheduleMon, Wed, Fri · 7:30 PM - 9:00 PM IST
Mon, Wed, Fri · 7:30 PM - 9:00 PM ISTMeets
2026-11-09Starts
2026-12-31Ends
25Seats
12Modules
7Projects
₹29,499Incl. GST
Enrol · ₹29,499 incl. GST
25 seats left
Why learn live, with a cohort
🎤
Live, mentor-led sessionsLearn in real time with Sivaranjan A and a batch of peers, not alone with videos. Your trainer shares the class recording if you miss one.🔨
Real projects you shipBuild 7 hands-on projects that go straight into your public portfolio, reviewed by your trainer.🎓
Certificate + visibilityFinish to unlock a verifiable certificate, 5 exam passes and 5 ByteLabs projects, and learn in public to get noticed.What you will learn and build
The full curriculum, module by module, with hands-on project steps along the way.
1
Enter the AI Era: Understand What Everyone Is Talking About
Start from absolute zero and build a clear mental model of the AI world. Understand Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, LLMs, Computer Vision, NLP, and AI Agents without getting buried in unnecessary theory. Learn how modern AI is being used across careers, businesses, products, and everyday life. By the end of this module, learners will be able to understand AI conversations, identify meaningful AI opportunities, and explain the difference between major AI technologies with confidence.
2
Unlock Your AI Superpowers: Work Smarter With AI
Learn how to use AI as a powerful thinking and productivity partner for research, learning, writing, coding, analysis, brainstorming, decision-making, content creation, and everyday work. Discover how to combine different AI tools instead of relying on a single chatbot. Learners will build practical workflows that can save time, improve productivity, and help them solve problems faster.
3
Talk to AI Like a Builder: Prompting That Actually Works
Go beyond basic prompts and learn how to consistently get better results from AI. Master context, instructions, constraints, examples, role prompting, structured outputs, iterative prompting, prompt debugging, and reusable prompt patterns. Learners will understand why AI responses fail and how to improve them instead of repeatedly changing prompts randomly. By the end, they will have a personal library of reusable prompts for real-world tasks.
Project
Build Your Personal AI Toolkit
Design and build a personalized AI workflow around a real need such as studying, research, coding, career development, content creation, or productivity. Learners will define what they want AI to help with, create the workflow, test different approaches, and turn it into a repeatable system they can actually use every day.
4
The AI Toolbox: Choose the Right Tool for the Right Job
Explore the modern AI ecosystem across text, research, coding, images, video, audio, presentations, productivity, and automation. Learn how to evaluate AI tools based on capability, quality, limitations, cost, privacy, and use case instead of simply following trends. Learners will develop the ability to look at a task and decide which AI tool or combination of tools is best suited for it.
5
From AI User to AI Builder: Your First Steps With Code
Move from simply using AI tools to building with them. Learn beginner-friendly programming concepts using Python and understand variables, functions, libraries, APIs, JSON, inputs, outputs, and basic application logic. Learners will understand how software communicates with AI models and gain the foundation needed to create their own AI-powered applications, even if they have never built an AI application before.
Project
Build Your First AI Application
Build a real AI-powered application from scratch. Connect an AI model to code, send inputs to the model, process its responses, add application logic, and create a usable interface or workflow around it. Learners will finish with their first working AI application and understand the journey from an idea to a functioning AI-powered tool.
6
Give AI a Brain of Its Own: Understanding How LLMs Work
Understand what happens behind the scenes when you interact with systems such as ChatGPT. Learn the practical meaning of tokens, context windows, models, inference, embeddings, hallucinations, temperature, model limitations, and multimodal AI. Learners will understand why AI sometimes gets things wrong, why models behave differently, and how to work with those limitations intelligently.
7
Make AI Know Your World: AI With Your Own Data
Discover how AI can work with information that isn't part of its original training. Learn the fundamentals of document processing, chunking, embeddings, retrieval, vector search, context, and RAG through beginner-friendly examples. Learners will understand how modern knowledge assistants work and when connecting AI to private data makes sense.
Project
Build Your Personal Knowledge Assistant
Build a practical AI assistant that can work with your own documents and knowledge. Upload notes, PDFs, study material, business documents, or other information and create a system capable of retrieving relevant information and generating useful answers. Learners will experience the complete journey from their own data to an AI-powered knowledge assistant.
8
Make AI Do More: From Chatbots to AI Agents
Understand the evolution from simple chatbots to AI systems that can perform tasks. Learn the fundamental concepts behind AI agents, including goals, tools, actions, planning, memory, decision-making, and multi-step workflows. Learners will understand when an agent is useful, when it is unnecessary, and how AI can move from simply answering questions to actually performing tasks.
Project
Build Your First AI Agent
Build a beginner-friendly AI agent that can receive a goal, use selected tools, perform multiple steps, retrieve information, and produce a useful result. Learners will design the workflow, connect the tools, test the agent, identify where it fails, and improve its behavior. They will finish with a working AI agent they can demonstrate.
9
Turn Repetition Into Automation: Build AI Workflows
Learn how to identify repetitive tasks that can be improved or automated with AI. Understand triggers, actions, APIs, webhooks, workflows, AI decision points, and human approval. Learners will learn how to connect AI with everyday processes and distinguish between tasks that should be automated, assisted by AI, or kept under human control.
Project
Automate Something You Actually Do
Build an end-to-end AI automation around a real problem. Examples include research automation, content workflows, document processing, lead handling, reporting, email assistance, or personal productivity. Learners will connect multiple steps into a working workflow and see how AI can create measurable time savings.
10
From Idea to Opportunity: Think Like an AI Product Builder
Learn how to identify problems worth solving with AI instead of building random AI demos. Understand users, pain points, workflows, AI opportunities, feature selection, MVP thinking, basic product design, and validating whether an AI idea is actually useful. Learners will learn to move from “I have an AI idea” to “I know who this helps and why they would use it.”
Project
Build Your First AI Product
Take a real problem and turn it into an AI-powered product MVP. Define the target user, identify the problem, design the solution, select the appropriate AI capability, build the core functionality, test it, and demonstrate the result. Learners will experience what it takes to move from an idea to something another person can actually use.
11
Turn Projects Into Opportunities: Build Your AI Portfolio
Learn how to turn AI projects into proof of ability. Create professional GitHub repositories, write strong READMEs, document what was built and why, create project demonstrations, showcase work on LinkedIn, and explain projects confidently. Learners will understand how to present their work to recruiters, employers, clients, founders, and technical communities.
12
Become the Builder: Your AI Capstone Challenge
Bring everything together in a final real-world challenge. Learners will identify a problem, decide how AI can help, select the appropriate approach, design the solution, build it, test it, improve it, and present the final result. The goal is not simply to complete another tutorial, but to demonstrate that they can independently turn an idea into a useful AI solution.
Project
The 7-Day AI Builder Challenge
Take one real problem from idea to working AI solution in seven days. Learners will go through problem discovery, solution design, AI implementation, testing, improvement, and final presentation. They will finish the program with a substantial capstone project that demonstrates their transformation from AI beginner to AI builder.
Your trainer
S
Sivaranjan A
Leads this live cohort on CareerByteCode: sessions, project reviews, and your path to the certificate.
Common questions
Is this live or recorded?
Live, scheduled sessions with your trainer and cohort. Your trainer adds the class recording, files and notes to the classroom afterwards, so you can catch up if you miss one.
What do I get at the end?
Finish the cohort to unlock a verifiable CareerByteCode certificate, 5 exam passes and 5 ByteLabs projects, plus your shipped project work in a public portfolio.
How is the price shown?
The price is the base plus 18 percent GST, shown all-in (₹29,499). You pay securely via Razorpay.
Do I need experience?
Pick a cohort at your level (Beginner here). Your trainer supports you through every module and project.