Online AI Training in Bengaluru | Gen AI, LLM & Azure AI
Artificial Intelligence (AI) is transforming every industry, and Bangalore—India’s Silicon Valley—continues to lead the innovation wave. But what if you could access world-class AI training in Bangalore without stepping outside your home?
With AEM Institute’s Online Live and One-on-One AI Training, you get expert-led, immersive, and interactive learning—tailored to your needs—covering Generative AI, Large Language Models (LLM), Agentic AI, Azure AI Foundry, and preparation for Microsoft Azure AI-900 and AI-102 certifications.
Whether you’re a beginner aiming to break into AI or a working professional upgrading to the latest AI trend, our online AI courses give you everything you need—in real time, from anywhere in Bangalore.
Why Choose AEM Institute for Online AI Training in Bengaluru?
At AEM Institute, we believe online learning should be as engaging, practical, and career-focused as any classroom experience—only more convenient. Here’s why Bengaluru’s learners choose our Online AI Training:
- 100% Online Delivery – Learn from anywhere in Bangalore with live instructor-led classes on Zoom/MS Teams.
- Two Flexible Formats:
- Online Live Group Classes: Collaborative learning with peers.
- One-on-One Mentorship Sessions: Personalized attention, custom timing, and tailored learning path.
- Cutting-Edge Curriculum: Covers Generative AI, LLMs, Agentic AI, Azure AI Foundry, and AI job market skills.
- Certification Focus: Dedicated preparation for Azure AI-900 and AI-102 exams.
- Hands-On Learning: Lab exercises, code-alongs, AI model building, and deployment on Azure—all done remotely via cloud platforms.
- Expert Trainers: Learn from certified AI engineers and industry veterans.
- Placement Assistance: Guidance and mock interviews for Bangalore’s AI and cloud computing job market.
What You’ll Learn – Future-Proof AI Skills from Anywhere in Bengaluru
1. Foundations of Artificial Intelligence
- AI, Machine Learning, and Deep Learning basics
- Python for AI
- Jupyter Notebook, Google Colab for online coding labs
2. Generative AI (Gen AI) Mastery
- What is Generative AI and why it matters
- Building AI that creates text, images, and code
- Working with transformer models like GPT and Stable Diffusion
- Hands-on: Fine-tuning models for Bangalore business use cases
3. Large Language Models (LLMs)
- Understanding GPT, BERT, and LLaMA
- LangChain and Azure OpenAI integration
- Building AI-powered chatbots for customer support
4. Agentic AI Development
- Designing autonomous AI agents that make decisions
- Multi-agent orchestration with AutoGen
- Goal-driven AI workflows for finance, retail & healthcare sectors in Bangalore
5. Azure AI Foundry – Cloud AI Development
- Cognitive Vision, Speech, and Language services
- Building AI pipelines entirely in the cloud
- Deploying AI models securely for enterprise scale
6. Azure AI Certification Preparation
- AI-900 (Microsoft Azure AI Fundamentals): Core AI knowledge + Azure services basics
- AI-102 (Azure AI Engineer Associate): Designing & implementing Azure AI solutions
- Full exam prep with practice questions & case-based labs
How Our Online AI Training Works for Bengaluru Learners
Interactive Live Sessions
- Join from home, office, or even your favorite Bangalore café—engage in two-way communication with instructors via video conferencing.
One-on-One Option
- Flexible scheduling based on your availability.
- Learn at your own pace and get personal tutor attention.
Cloud-Based Labs
- Practice on real AI tools—no software installation needed.
- All hands-on labs are done securely via browser.
Placement Support
- Resume building
- Mock interviews with AI domain experts
- Job referrals in Bangalore’s tech industry
Benefits of Learning Artificial Intelligence Online from AEM Institute
- No commute—access top AI faculty from anywhere in Bengaluru.
- Flexible batches—weekday evenings or weekend slots.
- Learn with peers worldwide while staying connected to Bengaluru’s job network.
- Recorded session access—never miss a class.
- Global certification preparation with local job market insights.
Online AI Training in Bangalore – FAQs
Q1: Can I learn AI online from Bengaluru without any prior experience?
Yes, our online AI course starts from fundamentals. We’ll guide you step-by-step into Generative AI, LLM, Agentic AI, and Azure AI services.
Q2: Is this course live or self-paced?
All sessions are live instructor-led. You can choose group or online one-on-one sessions.
Q3: Do you provide placement support after online training?
Yes, we assist you with interviews, resume prep, and connect you with recruiters in Bengaluru.
Q4: How do I prepare for Azure AI-900 and AI-102 certifications online?
We provide live theory classes, online labs, and certification exam practice—including simulated test environments.
Q5: Will I get project experience in this online AI training?
Absolutely. You will work on industry-based AI projects remotely with full cloud access.
Career Opportunities After AI Training (Online from Bengaluru)
Here is a table summarizing the expected CTC (Cost to Company) ranges in 2025 along with career opportunities after completing AI training, specifically relevant for Bangalore’s AI job market:
| Role | Expected CTC 2025 (INR LPA) | Career Opportunities |
|---|---|---|
| AI Engineer (Entry Level) | 6 – 8 | Build AI models, optimize algorithms, deploy AI solutions. |
| AI Engineer (Mid-Level) | 10 – 20 | Design scalable AI/ML systems, manage AI projects. |
| AI Engineer (Senior Level) | 20 – 40 | Lead AI development teams, innovate AI solutions, research. |
| Azure AI Engineer (Entry Level) | 3.6 – 8 | Develop AI applications with Azure AI services. |
| Azure AI Engineer (Mid-Level) | 8 – 15 | Design, build, and deploy AI solutions on Azure cloud. |
| Azure AI Engineer (Senior Level) | 25 – 40+ | Lead AI cloud projects, architect Azure AI solutions. |
| Data Scientist | 8 – 30 | Analyze data, build predictive models using AI and ML. |
| Machine Learning Engineer | 6 – 25 | Develop and maintain ML models and pipelines. |
| Natural Language Processing (NLP) Engineer | 10 – 35 | Build language models, chatbots, and NLP applications. |
| Computer Vision Engineer | 12 – 40 | Develop image and video recognition AI systems. |
| AI Research Scientist | 15 – 50 | Conduct advanced AI research, develop novel algorithms. |
| AI Architect | 25 – 60+ | Design overall AI strategy and architecture for enterprises. |
This table reflects the competitive salary landscape in Bangalore driven by its presence as a major tech hub, and the diverse career paths available for AI-trained professionals, including those skilled in Azure AI technologies and specialized AI domains like generative AI and agentic AI.
These roles commonly require strong skills in AI frameworks, cloud platforms like Azure, and applied AI technologies, which are part of comprehensive AI training programs such as those offered by AEM Institute in Bangalore.
Why Bengaluru Professionals Prefer Online AI Training Now
- Saves travel time in Bangalore’s traffic
- Allows working professionals to study after office hours
- Offers one-on-one personalized learning, which is nearly impossible in offline large classrooms
- Direct access to Azure Cloud & AI tools from home
Final Call – Enroll in Bengaluru’s Best Online AI Training Today
You don’t need to wait for the “right time” or step inside a classroom to learn Artificial Intelligence. With AEM Institute’s 100% Online Live & One-on-One AI Training from Bangalore:
- Gain industry-relevant AI skills
- Get certified with Azure AI-900 & AI-102
- Advance your career in the AI-driven job market
📞 Call Now – 9330925622 or 📧 Email us for Details.
Cybersecurity Architect | Cloud-Native Defense | AI/ML Security | DevSecOps
With over 23 years of experience in cybersecurity, I specialize in building resilient, zero-trust digital ecosystems across multi-cloud (AWS, Azure, GCP) and Kubernetes (EKS, AKS, GKE) environments. My journey began in network security—firewalls, IDS/IPS—and expanded into Linux/Windows hardening, IAM, and DevSecOps automation using Terraform, GitLab CI/CD, and policy-as-code tools like OPA and Checkov.
Today, my focus is on securing AI/ML adoption through MLSecOps, protecting models from adversarial attacks with tools like Robust Intelligence and Microsoft Counterfit. I integrate AISecOps for threat detection (Darktrace, Microsoft Security Copilot) and automate incident response with forensics-driven workflows (Elastic SIEM, TheHive).
Whether it’s hardening cloud-native stacks, embedding security into CI/CD pipelines, or safeguarding AI systems, I bridge the gap between security and innovation—ensuring defense scales with speed.
Let’s connect and discuss the future of secure, intelligent infrastructure.