AI Builder Course in Chennai
Learn to Build AI Applications. Turn AI Knowledge into Working Solutions.
A live, hands-on AI Builder program for learners who want to move beyond using AI tools and start building practical AI applications.
Learn how AI applications work, use LLM APIs, build AI-powered workflows, work with prompts and structured outputs, understand embeddings and RAG, explore AI agents, and create practical AI projects.
₹6,999 + GST
Maximum 12 learners per cohort
What Is the CraftVoy AI Builder Course?
CraftVoy AI Builder is a 4-week, live instructor-led online program that teaches learners to build practical AI applications. You learn how AI applications are structured, how to call LLM APIs from Python, how to design application prompts and structured outputs, how to build multi-step AI workflows, and the fundamentals of embeddings, Retrieval-Augmented Generation (RAG) and AI agents. Basic Python is recommended. The fee is ₹6,999 + GST, cohorts are capped at 12 learners, and graduates receive a CraftVoy Certificate of Completion.
- Who it is for:
- Developers, technical students, software engineers, Python and GenAI learners
- Prerequisites:
- Basic Python and familiarity with Generative AI tools
- Delivered by:
- CraftVoy, Chennai, led by Vijay Gurunathan
- Next step:
- AI Engineering
Last updated:
Why Learn AI Building?
Using ChatGPT is easy.
Building an application that uses AI is different.
Modern AI applications combine:
- User Experience
- Application Logic
- AI Models
- APIs
- Data
- Retrieval
- Tools
AI Builder introduces you to that engineering mindset. You will move from:
“I use AI.”
“I can build an application that uses AI.”
This program is designed as the practical bridge between Generative AI Foundations and AI Engineering.
AI Builder at a Glance
| Program | AI Builder |
|---|---|
| Duration | 4 Weeks |
| Format | Live Instructor-Led |
| Mode | Online |
| Cohort Size | Maximum 12 learners |
| Level | Beginner–Intermediate |
| Coding | Basic Python recommended |
| Projects | 3–4 practical AI projects |
| Mentorship | Live instructor guidance |
| Assessment | Practical project assessment |
| Certificate | CraftVoy Certificate of Completion |
| Fee | ₹6,999 + GST |
Who Is This Program For?
Designed for technical learners who want to start building with AI, not just prompting it.
Developers
Learn how to integrate AI capabilities into applications using APIs, prompts, structured outputs and retrieval.
Technical Students
Build practical AI applications and develop experience beyond theoretical AI concepts.
Software Engineers
Understand how modern AI capabilities can be integrated into software systems.
Python Learners
Use your Python foundation to start building AI-powered applications.
GenAI Learners
Move beyond prompting and understand what happens behind AI-powered applications.
Career Switchers with Technical Backgrounds
Develop a practical foundation before progressing into professional AI engineering.
Who Should Not Start Here?
AI Builder is not designed to be the first program for everyone. If you:
- Have never used Generative AI
- Don't understand basic AI concepts
- Are completely new to technology
- Want only AI productivity skills
If you already understand GenAI and have basic programming knowledge, AI Builder is a suitable starting point.
Eligibility & Python Requirement
Recommended prerequisites
- Basic computer knowledge
- Basic programming concepts
- Basic Python knowledge recommended
- Familiarity with Generative AI tools
- Ability to work with files and web applications
- Basic logical problem-solving ability
You do not need
- Machine Learning experience
- Deep Learning experience
- Data Science experience
- Previous AI projects
- AI certification
- Professional AI experience
How much Python do I need?
You don't need advanced Python. You should be comfortable with:
- Variables
- Data types
- Conditions
- Loops
- Functions
- Lists and dictionaries
- Basic modules
- Basic error handling
A short Python readiness assessment may be used before admission.
What You Will Learn: 6-Module Curriculum
From AI application architecture to LLM APIs, workflows, RAG and agents, across four weeks.
Module 01AI Application Architecture
Understand what makes an AI application different from a conventional application.
AI Application Architecture
Understand what makes an AI application different from a conventional application.
- AI application fundamentals
- AI application architecture
- Frontend and backend
- LLM layer
- Application logic
- AI APIs
- Data layer
- Retrieval layer
- Tools and external systems
- Basic AI application architecture patterns
Outcome: Understand the major components required to build an AI-powered application.
Module 02Working with LLM APIs
Move from using AI interfaces to interacting with AI models programmatically.
Working with LLM APIs
Move from using AI interfaces to interacting with AI models programmatically.
- LLM APIs
- API keys and authentication
- Requests and responses
- System instructions
- User prompts
- Context
- Parameters
- Structured outputs
- Error handling
- Token usage
- Basic API cost management
- Model selection
Outcome: Practical exercise: build a simple Python application that communicates with an LLM API.
Module 03Prompt Engineering for Applications
Learn how prompts work inside an application.
Prompt Engineering for Applications
Learn how prompts work inside an application.
- Application prompts
- System instructions
- Dynamic prompts
- Context injection
- Prompt templates
- Structured outputs
- Output validation
- Prompt evaluation
- Prompt versioning
- Common application-level prompting mistakes
Outcome: Practical exercise: build a structured AI workflow that converts user input into a defined output.
Module 04Building AI Workflows
Understand how multiple steps can be combined into an AI application.
Building AI Workflows
Understand how multiple steps can be combined into an AI application.
- Sequential AI workflows
- Input processing
- AI processing
- Output processing
- Conditional workflows
Outcome: Combine input handling, model calls and output processing into a working multi-step AI workflow.
Module 05Embeddings & RAG
Give AI applications access to your own data through retrieval.
Embeddings & RAG
Give AI applications access to your own data through retrieval.
- Embeddings
- Documents and chunking
- Vector search
- Retrieval
- Context augmentation
- RAG workflow
- Basic RAG application patterns
Outcome: Understand how retrieval connects an LLM to external knowledge and apply it in a practical project.
Module 06AI Agents & Practical Projects
Explore tool use and agentic patterns, and consolidate learning through practical projects.
AI Agents & Practical Projects
Explore tool use and agentic patterns, and consolidate learning through practical projects.
- Tools and function calling
- AI agent basics
- Multi-step tasks
- Agent limitations
- Project design
- Project review
Outcome: Complete your practical project and understand the path from AI Builder into professional AI Engineering.
Practical Learning: 3–4 AI Projects
This is a build-first program. You will write code and ship working AI projects throughout the four weeks.
LLM API Application
Build a Python application that communicates with an LLM API.
Structured AI Workflow
Convert user input into a defined, validated output using prompts and structured outputs.
Document Q&A with RAG
Use embeddings and retrieval to answer questions from your own documents.
AI Agent Mini Project
Build a small tool-using agent for a practical scenario.
What You Will Be Able to Do After the Program
- Explain how an AI application is structured
- Call LLM APIs from Python
- Manage API keys, errors and token usage
- Design application-level prompts and templates
- Produce and validate structured outputs
- Build multi-step AI workflows
- Explain embeddings and RAG
- Build a basic retrieval-based application
- Explain tool use and AI agent concepts
- Complete 3–4 practical AI projects
- Decide your next step toward AI Engineering
Tools & Technologies
Depending on the exercises and cohort, learners may work with selected tools. The emphasis is on understanding the patterns behind AI applications, not memorizing a single vendor's tools.
- Python
- LLM APIs
- JSON
- Embeddings
- Vector search
- RAG tools
- GitHub
- VS Code
- Jupyter
- AI development platforms
Live. Hands-on. Small Cohort.
CraftVoy programs are designed around learning by doing, rather than simply watching recorded videos.
Live Sessions
Attend instructor-led sessions where concepts are explained and demonstrated.
Hands-on Building
Write and run code in every module, not just watch demos.
Practical Projects
Build 3–4 working AI projects across the program.
Instructor Guidance
Get live support while debugging and designing your projects.
Peer Learning
Learn alongside a small cohort of technical learners.
Cohort Structure: Maximum 12 Learners
A small, controlled cohort lets the instructor work closely with each learner. This allows the instructor to:
- Review your code
- Help you debug
- Discuss project design
- Answer questions live
- Provide learning guidance
- Maximum: 12 learners
Assessment & Certification
Learners are assessed through a practical project assessment. Successful completion demonstrates understanding of:
- AI application architecture
- LLM API usage
- Application prompting
- Structured outputs
- AI workflows
- RAG fundamentals
- Agent concepts
A CraftVoy Certificate of Completion is provided upon meeting the program requirements.
The certificate validates program completion. The primary value of the program is the knowledge, practical experience and portfolio developed during the learning journey.
What Is Included in Your Program Fee?
Live Instructor-Led Sessions
Structured weekly learning with an experienced technology practitioner.
Practical Labs
Hands-on coding exercises designed around real AI application patterns.
Project Guidance
Guidance across your 3–4 practical AI projects.
Learning Materials
Structured resources and reference materials.
AI Technology Environment
Access to selected AI tools and technology resources required for program activities, subject to applicable usage limits and platform policies.
Practical Assessment
Project-based assessment of what you have built.
Certificate
CraftVoy Certificate of Completion.
Generative AI Foundations vs AI Builder vs AI Engineering
Not sure which CraftVoy program is right for you?
| Attribute | Generative AI Foundations | AI Builder | AI Engineering |
|---|---|---|---|
| Level | Beginner | Beginner–Intermediate | Intermediate–Advanced |
| Duration | 4 weeks | 4 weeks | 24 weeks |
| Coding | Not required | Basic Python recommended | Required |
| Focus | Understand & apply GenAI | Build AI applications | Engineer AI systems |
| Projects | Exercises & mini projects | 3–4 practical AI projects | 6+ projects + enterprise capstone |
| Cohort | Up to 20 | Up to 12 | Maximum 10 |
| Fee | ₹4,999 + GST | ₹6,999 + GST | ₹34,999 + GST |
The progression: Learn AI → Build AI → Engineer AI
If you already understand GenAI and know basic Python, start with AI Builder. If you are new to Generative AI, begin with Generative AI Foundations. If you want to engineer production AI systems, consider AI Engineering.
Your CraftVoy AI Learning Path
Step 2 — Build AI (You are here)
AI Builder
Build practical AI applications.
Why CraftVoy?
Build Skills. Build Technology. Build Your Future.
Our programs are designed by technology practitioners with real-world experience across software engineering, cloud, enterprise architecture, AI and digital transformation.
Rather than treating AI as a collection of tools, CraftVoy approaches learning through Fundamentals → Practical Application → Engineering → Architecture. AI Builder is where fundamentals turn into working applications.
Learn Directly from an Industry Expert
Vijay brings over 17 years of hands-on enterprise technology experience across AI, cloud, and solution architecture. Having worked with global enterprises in automotive, manufacturing, and analytics, he mentors students with real-world case studies and proven engineering frameworks not just textbook theory.
Learn From Enterprise Technology Experience
CraftVoy is founded by Vijay Gurunathan, a technology architect and entrepreneur with 17+ years of experience across software engineering, enterprise architecture, cloud, AI and digital transformation. His professional experience spans technology environments across automotive, manufacturing, telecom, retail, CPG and other enterprise domains.
Frequently Asked Questions
What is the CraftVoy AI Builder program?
How much does the AI Builder course cost?
Who is the AI Builder course for?
Do I need Python for AI Builder?
Do I need Machine Learning or Data Science experience?
What is the difference between AI Builder and Generative AI Foundations?
What is the difference between AI Builder and AI Engineering?
Will I learn RAG and AI agents?
Will I learn to use LLM APIs?
How many projects will I build?
How many learners are in a cohort?
How long is the program and is it live?
Is the course available in Chennai?
Do I get a certificate?
Should I start with AI Builder or Generative AI Foundations?
What happens after AI Builder?
Program Investment
AI Builder
₹6,999 + GST
4 Weeks · Live Instructor-Led · Hands-on Projects · Maximum 12 Learners
What's included:
- Live sessions
- Hands-on coding labs
- LLM API integration
- Structured outputs
- AI workflows
- RAG fundamentals
- AI agent fundamentals
- 3–4 practical projects
- Practical project assessment
- Learning resources
- CraftVoy Certificate of Completion
Limited seats per cohort. Cohort dates and availability are confirmed by CraftVoy before enrollment.
Not Sure Where to Start?
Take the CraftVoy AI Readiness Assessment. We will help you identify whether you should start with Generative AI Foundations, AI Builder or AI Engineering.
Take AI Readiness AssessmentExplore Related CraftVoy Programs
Start Building With AI
The next generation of technology professionals will not just use AI. They will build applications that use it. AI Builder gives you the practical foundation to start.
Learn AI. Build AI. Engineer AI.