Uncodemy Deep Learning Batch Timings and Fee Structure 2026

Uncodemy Deep Learning — 2026 Batch Details:

Weekday Morning Batch:
  Time:     10:00 AM – 12:00 PM IST
  Days:     Monday – Friday
  Duration: 14-16 weeks
  Next start: First Monday of every month
  Seats:    Limited to 25 students

Weekday Evening Batch:
  Time:     6:30 PM – 8:30 PM IST
  Days:     Monday – Friday
  Duration: 14-16 weeks
  Next start: First Monday of every month
  Best for: Working professionals

Weekend Batch:
  Time:     10:00 AM – 1:00 PM IST
  Days:     Saturday & Sunday
  Duration: 16-18 weeks
  Next start: First Saturday of every month
  Best for: Busy professionals

Fast-Track Batch:
  Time:     9:00 AM – 1:00 PM IST
  Days:     Monday – Saturday
  Duration: 10-12 weeks
  Next start: Quarterly (Jan, Apr, Jul, Oct)
  Best for: Career switchers on tight timelines

Note: All batch timings are IST.
Recordings are available within 24 hours.

What Every Batch Includes (No Exceptions):

☐ Live instructor-led classes
☐ Class recordings (24-hour access)
☐ Hands-on lab sessions
☐ Real-world projects (2-3)
☐ PyTorch + TensorFlow coverage
☐ Assignments and code reviews
☐ 1:1 mentor sessions (2 per month)
☐ Interview preparation
☐ Resume rebuild support
☐ Placement assistance
☐ Certificate of completion
☐ Lifetime access to course content
☐ Free batch repeats (within 1 year)

What's NOT included:
☐ Personal laptop (bring your own)
☐ Cloud GPU costs (course provides credits)
☐ Placement guarantee (assistance, not guarantee)

Pro tip:
The weekday evening batch is the most popular
— seats fill up 2-3 weeks before the start date.
Book early if this timing suits you.

Payment Methods Accepted:

1. Full payment (most common)
   → Pay ₹15,500 upfront
   → Best value — no EMI processing

2. EMI options
   → 3 months: ₹5,167/month (zero interest)
   → 6 months: ₹2,750/month (small processing fee)
   → 9 months: ₹1,900/month (small processing fee)

3. UPI / Net Banking
   → Google Pay, PhonePe, Paytm
   → All major bank net banking

4. Credit / Debit Card
   → Visa, Mastercard, RuPay, Amex

5. Razorpay Link
   → Shared after counseling session

6. Bank Transfer (NEFT/IMPS)
   → For corporate-sponsored students
   → Invoice provided

Not accepted:
✗ Cash (for online enrollments)
✗ Crypto

Refund policy:
☐ Full refund before batch starts (100%)
☐ Partial refund within first week (50%)
☐ No refund after week 2 (but batch repeats free)

EMI Details — What You Actually Pay:

3-Month EMI (Zero Interest):
  Total: ₹15,500
  Monthly: ₹5,167
  Processing fee: ₹0
  Total paid: ₹15,500 ✅

6-Month EMI (Small Processing Fee):
  Total: ₹15,500
  Monthly: ₹2,750
  Processing fee: ₹250
  Total paid: ₹16,750 (effectively ₹16,750)

9-Month EMI (Small Processing Fee):
  Total: ₹15,500
  Monthly: ₹1,900
  Processing fee: ₹400
  Total paid: ₹17,500 (effectively ₹17,500)

Best value:
✅ Full payment (₹15,500) — 0 extra cost
✅ 3-month EMI (₹15,500) — 0 extra cost
⚠️ 6/9-month EMI — small extra cost

Who should use EMI:
☐ Students with limited cash flow
☐ Career switchers budgeting carefully
☐ Anyone who values liquidity over ₹250-400

Uncodemy Deep Learning — Complete Syllabus:

MODULE 1: Python Foundations for DL
  ☐ Python syntax refresher
  ☐ NumPy arrays and operations
  ☐ Pandas for data handling
  ☐ Matplotlib for visualization
  ☐ Jupyter notebook workflow

MODULE 2: Deep Learning Fundamentals
  ☐ What is a neural network?
  ☐ Forward propagation
  ☐ Loss functions
  ☐ Backpropagation
  ☐ Gradient descent and optimizers
  ☐ Regularization basics

MODULE 3: PyTorch Core
  ☐ Tensors and operations
  ☐ Autograd
  ☐ Building models with nn.Module
  ☐ Data loaders
  ☐ Training loops

MODULE 4: Computer Vision (CNNs)
  ☐ Convolutional layers
  ☐ Pooling and flattening
  ☐ Transfer learning
  ☐ Pre-trained models (ResNet, VGG)
  ☐ Data augmentation

MODULE 5: NLP & Sequence Models
  ☐ RNN fundamentals
  ☐ LSTMs and GRUs
  ☐ Attention mechanism
  ☐ Transformers
  ☐ Hugging Face ecosystem

MODULE 6: Deployment & MLOps Basics
  ☐ Model saving and loading
  ☐ FastAPI for model serving
  ☐ Docker basics for ML
  ☐ Cloud deployment (AWS/GCP)
  ☐ Monitoring

MODULE 7: Interview Preparation
  ☐ 100+ DL interview questions
  ☐ Mock interviews (2)
  ☐ Portfolio review
  ☐ Resume rebuild

Tools & Technologies Covered:

Languages:
  ☐ Python (primary)

Deep Learning Frameworks:
  ☐ PyTorch (main focus)
  ☐ TensorFlow / Keras (secondary)

ML & Data:
  ☐ NumPy
  ☐ Pandas
  ☐ Scikit-learn
  ☐ Matplotlib / Seaborn

NLP & Vision:
  ☐ Hugging Face Transformers
  ☐ Torchvision
  ☐ OpenCV basics

Deployment:
  ☐ FastAPI
  ☐ Docker
  ☐ AWS (SageMaker, EC2 basics)
  ☐ Google Colab / Kaggle (GPU access)

Dev Tools:
  ☐ Git / GitHub
  ☐ VS Code
  ☐ Jupyter / Colab

What this means for your resume:
You'll list 8-10 real tools and 2-3 projects
— that's what gets junior DL roles.

You're a great fit for this course if:

☐ You know basic Python (or willing to
  spend 1 week learning the basics)
☐ You have 10-15 hours/week for 3-4 months
☐ You want to become an ML/DL engineer
☐ You're a fresher, career switcher, or
  upskilling developer
☐ You can commit to building 2-3 projects
☐ You're okay with math at a conceptual
  level (not advanced proofs)

You might struggle if:

✗ You have zero programming experience
  (take a Python basics course first)
✗ You have <8 hours/week to commit
✗ You expect placement guarantee
✗ You're looking for a 1-week crash course
✗ You don't like hands-on work

Honest assessment:
Most students who complete the course
and do the projects land DL/ML roles
within 3-6 months of finishing.
No degree required — portfolio matters.

Pre-Course Preparation (2 weeks before batch):

Week 1 — Python basics
  ☐ Variables, functions, loops
  ☐ Lists, dictionaries, tuples
  ☐ File I/O basics
  ☐ Install Python and VS Code
  ☐ Complete 5-10 small Python exercises

Week 2 — NumPy warm-up
  ☐ Arrays vs lists
  ☐ Basic array operations
  ☐ Indexing and slicing
  ☐ Install NumPy and Jupyter

Optional math refresher:
  ☐ Khan Academy — Linear Algebra playlist
  ☐ 3Blue1Brown — Neural Networks series
  ☐ 2 hours total, not more

What Uncodemy provides:
☐ Python basics refresher in Month 1
☐ Math refresher slides
☐ Pre-course reading list
☐ Installation guides
☐ Access to recordings from day one

Note:
You don't need to be an expert before
the batch starts. But showing up
comfortable with Python basics will make
Month 1 much smoother.