CraftVoy · Craft Your Future

AI Engineering Course

Build, deploy and scale modern AI applications with Machine Learning, Deep Learning, Generative AI, Large Language Models, RAG, Agentic AI, MCP and Enterprise AI Engineering.

CraftVoy's 24-week AI Engineering Course is a live, mentor-led program designed for students, fresh graduates, software engineers and working professionals who want to build practical AI systems rather than learn AI concepts in isolation.

24 Weeks·Live Mentor-Led·Max 10 Learners·6+ Projects·Enterprise Capstone
Enroll NowDownload SyllabusTalk to an Advisor

AI Engineering Course at a Glance

Duration24 Weeks
FormatLive Online
ScheduleWeekday & Weekend Batches
Weekend Timing9 AM – 1 PM IST
Cohort SizeMaximum 10 Learners
Learning ModelLive Mentor-Led
Projects6+ Practical AI Projects
CapstoneEnterprise AI Assistant
CertificateCraftVoy Course Completion Certificate
LevelBeginner to Advanced
FocusAI Engineering & Production AI

What Is AI Engineering?

AI Engineering combines software engineering, Machine Learning, Deep Learning and modern Generative AI technologies to design and build intelligent applications that can operate in real-world environments. The CraftVoy AI Engineering Course brings these capabilities together through a structured learning journey from AI foundations to production-oriented AI systems.

An AI Engineer may work with

PythonMachine LearningDeep LearningGenerative AILarge Language ModelsPrompt EngineeringRAGEmbeddingsVector DatabasesAI AgentsMCPAPIsCloud PlatformsDockerAI EvaluationAI Application DeploymentEnterprise AI Architecture

Your AI Engineering Journey

From AI foundations to enterprise AI, in eight structured stages.

01

AI Foundations

2 Weeks

Build the foundations required for AI Engineering.

Artificial Intelligence fundamentalsPythonStatisticsData fundamentalsMachine Learning basicsAI development fundamentals
02

Machine Learning

3 Weeks

Learn how Machine Learning models are developed and evaluated.

Supervised learningUnsupervised learningRegressionClassificationModel evaluationFeature engineeringML workflows
03

Deep Learning

3 Weeks

Understand neural networks and deep learning applications.

Neural networksDeep learning fundamentalsCNNModel trainingTensorFlowPyTorchTransfer learning
04

Generative AI

3 Weeks

Learn how modern Generative AI applications are designed.

Generative AI fundamentalsLLM conceptsPrompt engineeringLLM APIsAI application patternsModel interactionGenerative AI workflows
05

LLM Engineering

4 Weeks

Move from using LLMs to engineering applications around them.

Large Language ModelsEmbeddingsVector databasesRetrieval pipelinesRAG architectureContext managementLLM application developmentEvaluation fundamentals
06

Agentic AI

4 Weeks

Build AI systems that can reason through tasks, use tools and coordinate workflows.

AI agentsAgent architecturesTool callingMulti-agent systemsAgent workflowsLangChain / LangGraphMCPAgent evaluationAutonomous workflow patterns
07

Enterprise AI Engineering

3 Weeks

Understand how AI applications can be designed for enterprise environments.

Enterprise AI architectureAI application architectureAPI integrationCloud AI servicesSecurity fundamentalsData and knowledge integrationAI governance fundamentalsDeployment considerationsProduction AI patterns
08

Enterprise AI Capstone

2 Weeks

Bring your learning together through an end-to-end enterprise-oriented AI project — the Enterprise AI Assistant.

Modern AI application patternsKnowledge retrievalLLMsAPIsDeployment concepts

Build Real-World AI Projects

Learn by building — apply concepts across the AI engineering lifecycle.

Project 01

AI Resume Analyzer

Build an AI application that analyzes resumes and extracts structured information.

Python · LLMs · Prompt Engineering · APIs

Project 02

Enterprise AI Chatbot

Build a conversational AI application designed around enterprise use cases.

LLMs · APIs · Conversation Design · Application Integration

Project 03

Knowledge Assistant

Build an AI assistant that can answer questions using a defined knowledge base.

RAG · Embeddings · Vector Databases · LLMs

Project 04

RAG Search Engine

Build a retrieval-augmented search workflow for intelligent document discovery.

Retrieval · Vector Search · Embeddings · Reranking · RAG

Project 05

Multi-Agent AI System

Build a multi-agent workflow where specialized AI agents collaborate to complete tasks.

AI Agents · LangGraph · Tool Calling · MCP · Agent Workflows

Project 06

Production AI Platform

Bring an AI application toward production using APIs, containers and cloud-oriented deployment practices.

FastAPI · Docker · Cloud · AI Application Architecture · Deployment

Enterprise AI Capstone: Build an Enterprise AI Assistant

Your final project brings together the major capabilities developed throughout the program, working through a complete AI engineering workflow.

Problem DefinitionAI ArchitectureData & KnowledgeLLM IntegrationRAGAgentic WorkflowsAPI IntegrationDeploymentEvaluation & Improvement

The objective is to finish the program with a project that demonstrates how modern AI technologies can be combined into a practical enterprise-oriented solution.

What You Will Learn

By the end of the AI Engineering program, you will understand how to:

Build Machine Learning models
Apply Deep Learning techniques
Develop Generative AI applications
Work with Large Language Models
Design prompt engineering workflows
Build RAG applications
Work with embeddings and vector databases
Develop AI agents
Build multi-agent workflows
Integrate tools through APIs
Understand MCP-based AI workflows
Design enterprise AI applications
Build AI application APIs
Containerize AI applications
Understand cloud deployment patterns
Evaluate AI application behaviour
Develop production-oriented AI systems
Present an end-to-end AI engineering project

Tools & Technologies

Industry-relevant AI engineering stack. Technologies may evolve as the AI ecosystem changes — the program focuses on transferable AI engineering concepts alongside practical tools.

Programming
Python
Machine Learning & Deep Learning
Scikit-learn · TensorFlow · PyTorch
Generative AI & LLMs
OpenAI API · Large Language Models · Prompt Engineering
AI Application Development
LangChain · LangGraph · FastAPI
RAG & Knowledge Systems
Embeddings · Vector Databases · Pinecone · ChromaDB
Development & Deployment
Docker · GitHub · VS Code
Cloud & Enterprise AI
Microsoft Azure · Azure AI · Cloud AI Architecture

Who Should Join This AI Engineering Course?

College Students

Build practical AI skills beyond academic coursework and develop projects for your portfolio.

Fresh Graduates

Develop a structured foundation across Machine Learning, Generative AI, LLMs and AI application development.

Software Engineers

Extend your software engineering experience into modern AI application development.

Java Developers

Use your existing software engineering foundation to transition toward AI and intelligent application development.

Cloud Engineers

Combine cloud engineering knowledge with AI application architecture, LLMs and deployment.

Solution Architects

Explore AI application architecture, enterprise AI patterns and modern AI technologies.

Working Professionals

Build practical AI capabilities and explore a transition toward AI Engineering roles.

Career Switchers

Follow a structured path from AI foundations through modern AI application development.

Is This Course Beginner Friendly?

Yes. The program starts with AI fundamentals, Python, statistics and Machine Learning basics before progressing into Deep Learning, Generative AI, LLM Engineering, RAG, Agentic AI and Enterprise AI. You do not need to already be an AI Engineer to begin. However, basic programming knowledge can make the learning journey easier, particularly during the software development, API and deployment portions of the program.

Why Learn AI Engineering with CraftVoy?

Live Mentor-Led Learning

Learn through live sessions with opportunities to ask questions, discuss architecture and work through practical problems.

Maximum 10 Learners

The program is designed around a small cohort to support interaction and project-focused learning.

Build Real Projects

Work on practical AI systems covering LLMs, RAG, AI agents, enterprise chatbots and production-oriented AI applications.

Engineering-Oriented Approach

Go beyond prompt demonstrations and understand how AI applications are designed, integrated and deployed.

Enterprise Perspective

Learn AI concepts through an enterprise technology and architecture perspective.

Portfolio Development

Build multiple projects and an enterprise-oriented capstone that demonstrate practical AI engineering capabilities.

Career Guidance

Receive guidance around resume development, project presentation and AI engineering interview preparation.

AI Engineering vs Machine Learning

Not sure whether you should start with Machine Learning or AI Engineering?

Machine LearningAI Engineering
Duration12 Weeks24 Weeks
Python✓✓
Statistics✓✓
Machine Learning✓✓
Deep Learning✓✓
Generative AILimited✓
LLM Engineering—✓
RAG—✓
Vector Databases—✓
AI Agents—✓
MCP—✓
Enterprise AI—✓
Production AIBasic✓
CapstoneML ProjectEnterprise AI Project

Choose Machine Learning if:

You want to develop deeper foundational skills in Machine Learning, Deep Learning, NLP, Computer Vision and MLOps.

Choose AI Engineering if:

You want a broader path covering Machine Learning through Generative AI, LLM Engineering, RAG, Agentic AI and Enterprise AI.

Explore Machine Learning Course →

AI Engineering vs Generative AI

Generative AI is an important part of AI Engineering, but AI Engineering covers a broader technical lifecycle.

Generative AIAI Engineering
LLMsLLMs
Prompt EngineeringPrompt Engineering
RAGRAG
Generative AI ApplicationsGenerative AI Applications
—Machine Learning
—Deep Learning
—AI Agents
—MCP
—Enterprise AI
—AI Application Architecture
—Production Deployment
—Enterprise Capstone

Choose Generative AI when you want a focused path into LLM-powered applications. Choose AI Engineering when you want to develop broader capabilities across the AI engineering lifecycle.

Career Paths After AI Engineering

The program develops skills relevant to several AI and software-oriented career paths. Career outcomes depend on the learner's prior experience, portfolio, technical ability and hiring-market conditions — the program does not guarantee employment.

AI Engineer
Build and integrate AI-powered applications.
Generative AI Engineer
Develop applications using LLMs and Generative AI technologies.
AI Application Developer
Build software applications that integrate AI models and services.
Machine Learning Engineer
Develop and operationalize Machine Learning solutions.
AI Solution Architect
Design AI application and platform architectures.
AI Consultant
Help organizations identify and implement AI solutions.
Your Mentor

Learn Directly from an Industry Expert

Vijay Gurunathan, Founder & Chief Architect at CraftVoy

Vijay Gurunathan

Founder & Chief Architect

LinkedIn Profile
17+ Years of Industry Experience
Enterprise Architect
AI Engineering Researcher & Practitioner
Cloud Architecture Expert
Automotive & Manufacturing Domain
IIM Trichy (Management Education)
Former HCL, Verizon, Ford, Daimler, Zensar, Fractal.ai

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.

AI Engineering Course Fees

Choose your learning path — student, professional, personalized 1:1 mentoring, or corporate training.

For Eligible College Students

Student Program

₹29,999+ GST
  • 24 weeks of live learning
  • AI & Machine Learning foundations
  • Generative AI & LLM Engineering
  • RAG & Vector Databases
  • Agentic AI & MCP
  • 6+ practical projects
  • Enterprise AI capstone
  • Certificate
  • Career guidance
Enroll as Student
Early Cohort · Most Popular

Professional Program

₹34,999+ GST

Regular Price: ₹44,999 + GST

  • 24 weeks live mentor-led training
  • Machine Learning & Deep Learning
  • Generative AI & LLM Engineering
  • Prompt Engineering & LLM APIs
  • RAG & Vector Databases
  • Agentic AI & MCP
  • Enterprise AI Engineering
  • 6+ real-world projects
  • Production AI Platform project
  • Enterprise AI capstone
  • Career & interview guidance
  • Certificate
Join the Professional Program
Personalized Learning

1:1 Premium AI Engineering

₹59,999+ GST

Regular Price: ₹69,999 + GST

  • Individual mentor sessions
  • Personalized learning roadmap
  • Complete AI Engineering curriculum
  • Personalized capstone
  • Code & architecture reviews
  • RAG & Agentic AI guidance
  • Cloud & deployment guidance
  • Portfolio review
  • Interview preparation
  • Career roadmap guidance
  • Certificate
Request 1:1 Mentorship

Corporate AI Engineering

Custom Pricing
  • Customized curriculum
  • Private cohorts
  • Generative AI & LLM Engineering
  • RAG & Agentic AI
  • Enterprise AI architecture
  • Hands-on team projects
  • AI engineering workshops
  • Corporate delivery options
Request Corporate Proposal

GST is additional as applicable. Schedules, cohort availability and fees may change — confirm current batch availability with CraftVoy before enrollment. Need a customized learning plan? Contact our team to discuss your requirements.

Program Features

Live Interactive Classes

Learn through live sessions with practical discussions and mentor interaction.

Small Cohorts

Maximum 10 learners per cohort.

Industry Projects

Build practical AI applications throughout the program.

Personalized Mentoring

Receive guidance during projects and the learning journey.

Career Guidance

Resume, portfolio and interview guidance.

Interview Preparation

Prepare for AI engineering and technical interviews.

Learning Community

Continue learning and interacting with the CraftVoy community.

Certificate

Receive a CraftVoy course completion certificate after meeting program requirements.

Next Cohort: October 2026

Program Schedule

Duration: 24 Weeks
Format: Live Online
Weekend Schedule: 9 AM – 1 PM IST
Cohort Size: Maximum 10 Learners
Early Cohort Fee: ₹34,999 + GST

Schedules, cohort availability and fees may change. Confirm current batch availability with CraftVoy before enrollment.

Frequently Asked Questions

What is an AI Engineering course?
An AI Engineering course teaches the practical skills required to design, develop, integrate and deploy AI-powered applications. This can include Machine Learning, Deep Learning, Generative AI, LLMs, RAG, AI agents, APIs, cloud technologies and enterprise AI architecture.
Is the CraftVoy AI Engineering course suitable for beginners?
Yes. The program begins with AI foundations, Python, statistics and Machine Learning basics before moving into advanced AI engineering topics.
Do I need Python experience?
Basic programming knowledge is helpful, but the program introduces the Python foundations required for the AI engineering journey.
Do I need previous AI experience?
No. The program is structured progressively from foundational concepts to advanced AI engineering.
How long is the AI Engineering course?
The CraftVoy AI Engineering program is structured as a 24-week program.
Is the AI Engineering course live?
Yes. The program is delivered through live mentor-led sessions.
What technologies are covered?
The program includes Python, Machine Learning, TensorFlow, PyTorch, OpenAI APIs, LangChain, LangGraph, FastAPI, Docker, Azure, GitHub, PostgreSQL, Pinecone and ChromaDB, along with modern LLM, RAG and Agentic AI concepts.
Does the course include Generative AI?
Yes. Generative AI is a dedicated part of the curriculum.
Does the course cover LLM Engineering?
Yes. The program includes LLM concepts, APIs, embeddings, RAG, vector databases and LLM application development.
Does the course cover RAG?
Yes. Learners build RAG-oriented projects involving retrieval, embeddings, vector databases and LLM integration.
Does the course cover Agentic AI?
Yes. The program includes AI agents, agent workflows, multi-agent systems, tool integration and MCP concepts.
What is MCP?
MCP, or Model Context Protocol, is a protocol for connecting AI models and agents with tools, resources and external systems. The program introduces MCP as part of the Agentic AI learning journey.
Will I build real AI projects?
Yes. The program includes six major projects covering AI applications, enterprise chatbots, knowledge assistants, RAG, multi-agent systems and production-oriented AI platforms.
Is there a capstone project?
Yes. Learners complete an Enterprise AI Assistant capstone that brings together major concepts from the program.
Are class recordings available?
Recordings are available as part of the applicable program offering. Confirm the current access period and terms before enrollment.
Are weekend batches available?
Yes. Weekend batches are available. The current published weekend schedule is 9 AM–1 PM IST.
Will I receive a certificate?
Yes. Eligible learners receive a CraftVoy course completion certificate subject to the applicable program requirements.
Does CraftVoy provide placement?
CraftVoy provides career and interview guidance as part of the applicable program offering. Employment or placement is not guaranteed unless explicitly stated in a written agreement.
What is the fee?
The Student Program is ₹29,999 + GST, the Professional Program has an early cohort fee of ₹34,999 + GST (regular ₹44,999 + GST), and 1:1 Premium AI Engineering is ₹59,999 + GST (regular ₹69,999 + GST). Corporate pricing is available on request.
Who teaches the AI Engineering program?
The program is led by Vijay Gurunathan, Founder & Chief Architect at CraftVoy, with 17+ years of industry experience across enterprise technology, AI, cloud and architecture.

Explore Related CraftVoy Programs

Machine Learning CourseGenerative AI CourseEnterprise AI Architect ProgramPython Course

Chennai learning option

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AI Engineering Course in Chennai

Avadi learning option

Prefer a classroom near Avadi? Check batch dates, fees and directions for CraftVoy Avadi.

AI Engineering Course in Avadi

Ready to Become an AI Engineer?

Build practical capabilities across Machine Learning, Deep Learning, Generative AI, LLM Engineering, RAG, Agentic AI and Enterprise AI through a structured 24-week learning journey.

Build AI Systems. Not Just AI Knowledge.

Join the Next CohortTalk to an AdvisorDownload Syllabus
+91 97918 17766hello@craftvoy.com