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AI Engineering
Build Production AI with LLMs & Deep Learning
Become an AI Engineer. Master deep learning, neural networks, NLP, computer vision, LLMs, RAG, fine-tuning, and deploying AI systems to production with modern MLOps.
4.9(430)1,400+ students1,400+120 hours • 16 weeks120h • 16 weeks
Course Curriculum
1Deep Learning Foundations3 weeks
- Neural Networks
- Backprop
- PyTorch
- CNNs
- Optimization
2NLP & Transformers3 weeks
- Embeddings
- Attention
- Transformers
- Hugging Face
- Text Classification
3LLMs & RAG4 weeks
- LLM Fundamentals
- Prompt Engineering
- Vector Databases
- RAG Pipelines
- LangChain / LlamaIndex
4Fine-tuning & CV3 weeks
- Fine-tuning
- LoRA / PEFT
- Computer Vision
- Multimodal Models
- Evaluation
5AI in Production (MLOps)3 weeks
- Model Serving
- FastAPI
- Docker & K8s for AI
- Monitoring
- Capstone AI Product
🧠
AI Engineering
16 weeks • Advanced
Live Online + 1-on-1 Training
- 120+ hours live content
- 16 weeks duration
- 8 hands-on projects
- Certificate included
- Doubt support
- Lifetime access
✅ Lifetime access • ✅ Job assistance
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❓ FAQ
Frequently Asked Questions
Common questions about AI Engineering
In this course, you will learn: Build and train neural networks, Work with transformers and LLMs, Build RAG pipelines with vector DBs. The course covers 120+ hours of content across 5 comprehensive modules.
The prerequisites for this course are: Python & basic ML (or our Data Science course), Comfort with maths. If you're unsure about your current level, book a free demo session and our counselors will guide you.
The AI Engineering course is 16 weeks long with 120+ hours of hands-on content. You'll work on 8 real-world projects. You also get lifetime access to all recordings and materials.
This course is taught live by experienced industry professionals who work hands-on with these technologies every day. You learn current, real-world practices with live mentorship, code reviews and an optional 1-on-1 track.
After completing the AI Engineering course, you can apply for roles like: AI Engineer (₹14-40 LPA), ML Engineer (₹16-45 LPA), Applied Scientist (₹25-70 LPA). Our students have been placed at companies like Google, Microsoft, Nvidia.
Yes! We provide comprehensive placement assistance including resume building, LinkedIn profile optimization, mock interviews (technical + HR), coding round preparation, and direct job referrals to our network of 100+ hiring partners. Our placement rate is 95%.
Yes, all training is 100% live online, with an optional 1-on-1 (1:1) track. You get live interactive sessions, screen sharing, instant doubt resolution, recorded sessions for revision, and full placement support.
All our courses are non-refundable. We encourage you to attend a free demo session before enrolling to ensure the course is right for you. In exceptional cases, one-time batch transfer may be allowed with management approval.
AI Engineering training, near you
Live online & 1-on-1 · available in 79+ cities
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