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AI DEVELOPER COURSE IN BANGALORE

Build modern AI applications with our live online AI Developer Course in Bangalore. Designed for backend, frontend, and full-stack developers, this program helps you work with RAG, AI agents, model APIs, retrieval workflows, and practical AI development patterns used in real software products.

Why Join Our AI Developer Course in Bangalore

Live Online

Attend from Bangalore with mentor-led sessions built for serious software developers

Developer-First

Learn AI app development through APIs, retrieval workflows, agents, and product-style implementation

Project-Based

Work on practical builds around RAG, document workflows, evaluation, and AI agent patterns

Guided Support

Get mentor help, structured reviews, and implementation guidance throughout the program

Learning Format
Live Online Program
Course Duration
Use verified duration from the main AI Developer Course page
Next Cohort starts
11 May, 2026

Highlights of Our AI Developer Course in Bangalore

RAG and Retrieval Workflows

Learn how retrieval-backed AI applications are built using documents, knowledge layers, and grounded response patterns.

AI Agents and Tool Use

Work with agent-based patterns, tool-connected workflows, and practical multi-step AI logic for real tasks.

Model APIs and Framework Exposure

Gain practical exposure to modern model ecosystems and developer-first frameworks used in AI application building.

Guided AI App Development

Build portfolio-oriented AI application projects with mentorship, code reviews, and structured implementation support.

Main Course Page

Check Out the Full AI Developer Course Curriculum

This Bangalore page gives you a city-focused view. Explore the full AI Developer Course curriculum, projects, tools, and certification details on the main course page.

No signup required — explore at your own pace

What you'll find on the main page

Full Curriculum

Deep-dive modules covering every topic end to end

Hands-on Projects

Build portfolio-ready apps with real-world datasets

Certification

Industry-recognized certificate on completion

Career Support

Placement prep, mock interviews and resume reviews

Fee and EMI Plans

Transparent pricing with flexible payment options

4.9 Rated

Top-rated by 340+ working professionals across India

Industry-Recognized CertificationLive Mentor-Led SessionsPlacement Assistance4.9 ★ Average Rating

Why Learn AI Development in Bangalore’s Product Ecosystem?

Bangalore developers are increasingly expected to understand how AI features fit inside real software products.

This AI Developer Course is designed for software engineers who want to move beyond generic AI exposure and build practical skills in model APIs, retrieval workflows, AI agents, structured outputs, and modern AI application design. It fits the needs of developers working across product teams, SaaS environments, internal tooling, and modern software platforms.

What Makes Our AI Developer Course in Bangalore Different

Compare our developer-first AI application course with more generic AI learning paths.

Feature
Primary Focus
School of Core AI

AI application development for software developers

Other Institutes

Broad AI exposure without clear developer specialization

Feature
Build Direction
School of Core AI

RAG workflows, model APIs, AI agents, and practical application patterns

Other Institutes

General concepts with limited implementation depth

Feature
Learning Style
School of Core AI

Mentor-led, guided, and implementation-focused

Other Institutes

Often more passive or content-heavy

Feature
Project Orientation
School of Core AI

Practical builds aligned with modern AI development workflows

Other Institutes

Smaller demos or less developer-focused project work

Feature
Course Fit
School of Core AI

Strong fit for backend, frontend, and full-stack developers

Other Institutes

Broader audience without a clear software developer angle

Placement-Focused AI Developer Training (Live Online)

01

Mentor-Led Sessions

Learn from mentors who approach AI development from a practical software engineering perspective.

02

Built for Working Professionals

Structured for backend, frontend, and full-stack developers balancing work with guided upskilling.

03

Practical Application Builds

Work on project flows based on retrieval, model integration, AI workflows, and application-level implementation.

04

Code Reviews and Doubt Support

Get implementation help, feedback, and technical guidance as you build modern AI application patterns.

05

Interview Readiness

Prepare to discuss your AI development work with clearer implementation thinking and stronger project communication.

06

Career Support

Get support with portfolio direction, resume positioning, and practical transition into AI application roles.

AI Developer Course in Bangalore

Learn to Build Modern AI Applications, Not Just Study AI Concepts

Work with model APIs, retrieval workflows, AI agents, and practical software integration patterns through a developer-first AI course designed for modern product work.

What You’ll Learn in the AI Developer Course

01

Model APIs and AI App Foundations

Understand how software developers work with model APIs, prompts, structured outputs, and practical AI application logic.

02

RAG and Retrieval Workflows

Learn how documents, retrieval, chunking, embeddings, and grounded responses fit into modern AI application development.

03

AI Agents and Tool-Connected Workflows

Explore how developers build tool-using AI systems, multi-step task flows, and practical agent-based application patterns.

04

Testing, Reliability, and Iteration

Build stronger habits around evaluation, tracing, safer outputs, practical debugging, and real implementation quality.

AI Developer Learning Roadmap: From Software Developer to Practical AI Builder

1

Foundation

  • Core concepts
  • Tools & setup
  • Hands-on intro
2

Build

  • Advanced techniques
  • Guided projects
  • Industry tools
3

Specialise

  • Elective tracks
  • Capstone project
  • Peer reviews
4

Launch

  • Portfolio prep
  • Mock interviews
  • Placement drive

Skills You Will Build

Model API IntegrationRAG and Retrieval WorkflowsAI Agents and Tool UseLangChain and LangGraph ExposureFastAPI, Streamlit, and GradioStructured Outputs and Prompt PatternsEvaluation and TracingPractical AI Application BuildsPortfolio-Ready Development Work

Industry-Recognized AI Developer Certification (Bangalore)

Complete the program and earn an industry-recognized certificate that reflects practical AI development skills around modern application building, retrieval workflows, and implementation patterns.

Certificate of Completion

Issued by School of Core AI upon successful completion of the programme

Our Learning Community

Developers learn faster when they can discuss project approaches, review workflows, and compare practical implementation patterns together.

Benefits of Our AI Developer Community

Code Reviews and Peer Discussions
Code Reviews and Peer Discussions
Project Feedback and Iteration Support
Project Feedback and Iteration Support
Portfolio and Resume Guidance
Portfolio and Resume Guidance
Mentor Interaction
Mentor Interaction
Career Transition Support
Career Transition Support

Where These AI Developer Skills Are Relevant in Bangalore

Product Engineering Teams
SaaS Application Teams
Internal Platform Teams
AI Feature Development Teams
Developer Tooling Teams
Workflow Automation Teams

Career Directions After the AI Developer Course

This course is designed to support software developers moving toward practical AI application roles.

AI Developer

Work on AI-powered product features, model integrations, retrieval-backed experiences, and modern application workflows.

AI Application Developer

Build and improve practical AI functionality inside software products, tools, and user-facing systems.

RAG Developer

Focus on document workflows, retrieval systems, grounded answers, and knowledge-backed application logic.

In-Demand AI Developer Skills in Bangalore

What software developers increasingly need when moving into modern AI application work.

1
Model API integration and application logic
2
RAG and retrieval-backed development
3
AI agents and tool-connected workflows
4
LangChain, LangGraph, and framework exposure
5
FastAPI, Streamlit, and developer-facing app layers
6
Structured outputs, prompts, and workflow control
7
Evaluation, tracing, and reliability thinking
8
Portfolio-ready AI application builds
9
Practical AI development for product teams

Explore Related Tracks

Grow from AI application development into adjacent tracks as your role deepens.

AI Developer Course Fees

Single transparent fee covering complete training, real-world projects, certification and placement support. EMI and part-payment options are available with our counsellor.

Total Course Fee

Final fee, EMI plans and any ongoing offers will be confirmed by your counsellor based on your batch, mode and payment preference.

Your Career Path after AI Developer Course

Agentic AI Builder

Go deeper into agent workflows

LLM Specialist

Deepen model understanding

AI Engineering Track

Expand into broader system-level AI engineering

Frequently Asked Questions

This is a live online AI Developer Course for software developers in Bangalore who want to build modern AI applications using model APIs, retrieval workflows, AI agents, and practical development patterns.