AI Engineering Course in Bangalore
Build AI Engineer skills with Python, ML, deep learning, LLMs, RAG, agents, fine-tuning, multimodal AI and model serving through a live online, production-focused curriculum.
The detailed hands-on syllabus is delivered through our Generative AI Course curriculum.
AI Engineering Course Details
Live Online
Developers, ML learners, engineers and working professionals in Bangalore
Python, ML, deep learning, LLMs, RAG, agents, fine-tuning, multimodal AI, model serving
RAG system, fine-tuned LLM, multimodal AI system, production agentic AI system
Included
Included
Available on Generative AI Course page
Why Learn AI Engineering in Bangalore?
Bangalore's software engineering ecosystem, product companies, startups, cloud platforms and AI product teams make AI Engineering skills especially relevant for professionals who want to move from experimentation into deployable AI systems.
Who Should Join This AI Engineering Course in Bangalore?
Software developers moving into AI engineering
Useful for developers who want to move from application work into model-aware AI systems and product workflows.
Backend and full-stack engineers building AI products
Relevant if you want to add LLM, RAG, agents and serving capabilities to production software systems.
ML / AI learners who want GenAI depth
A strong fit if you want deeper coverage of LLMs, RAG, fine-tuning, multimodal AI and system design.
Freshers building AI Engineer portfolios
Suitable for learners who want project work that shows technical depth instead of isolated notebook demos.
Working professionals in Bangalore upgrading into AI roles
Designed for professionals who want role clarity, portfolio guidance and practical AI Engineering depth alongside full-time work.
AI Engineer Skills Covered
Projects You Will Build
AI Foundations & Model Evaluation Lab
Build a practical ML workflow with data preparation, model training, evaluation metrics and experiment comparison before moving into GenAI systems.
RAG Knowledge System
Build a retrieval-augmented generation system with ingestion, chunking, embeddings, vector search, reranking, citations and grounded LLM responses.
Fine-Tuned LLM Assistant
Adapt an open-source model using LoRA / QLoRA concepts, evaluate outputs and understand when fine-tuning is better than prompting.
Multimodal AI System
Build an AI system that works with text, image or document inputs using vision-language models and multimodal inference workflows.
Production Agentic AI System
Build a production-style GenAI workflow with agents, tool use, RAG or memory support, API serving, logging and evaluation checkpoints.
How This Maps to Our Gen AI Curriculum
This page helps Bangalore learners understand the AI Engineer role path, while the detailed hands-on syllabus is delivered through our Generative AI Course curriculum.
| AI Engineering Skill Area | How It Is Covered |
|---|---|
| Python + ML Foundations | Covered in Gen AI foundation modules |
| Deep Learning + Neural Networks | Covered in model-side AI modules |
| CNN, RNN, Transformers | Covered in deep learning and transformer modules |
| LLMs + Prompting | Covered in LLM and GenAI modules |
| RAG + Vector Databases | Covered in RAG implementation modules |
| Agents + Workflows | Covered in agent introduction modules |
| Fine-Tuning + Quantization | Covered in model optimization modules |
| Serving + Deployment | Covered in production GenAI modules |
AI Engineering Course vs AI Developer Course
Use this comparison when you are deciding between broader AI Engineering depth and more application-layer AI development.
AI Engineering Course
For learners who want model-side and system-side AI depth: Python, ML, deep learning, LLMs, RAG, fine-tuning, multimodal AI, agents and model serving.
AI Developer Course
For software developers who want to build AI applications using LLM APIs, RAG, agents and backend workflows.
The AI Engineering path explains the role track. The detailed hands-on syllabus behind that track is delivered through the Generative AI Course curriculum.
Related AI Learning Paths
Use these pages when you want role clarity, full syllabus depth or adjacent AI specialization context.
AI Engineering Certificate and Career Support
Certificate included through the learning program, along with project portfolio guidance, resume and project discussion support, interview preparation direction and career support without job guarantee. Career outcomes depend on your current background, portfolio quality, interview preparation and hiring market conditions.
Certificate of Completion
Issued by School of Core AI upon successful completion of the programme
AI Engineering Course in Bangalore FAQs
This AI Engineering Course in Bangalore is delivered live online. It is designed for learners who want structured training without depending on classroom attendance.
Start building AI Engineer skills from Bangalore
Explore the detailed Generative AI syllabus or talk to our team to understand whether the AI Engineering path fits your background.