Artificial Intelligence
βΉ120,000
Total FeeβΉ10,000/month
EMI Starting
Why Choose This Program?
Hands-On AI Projects: Build AI applications like chatbots, image classifiers, and language models using real datasets.
Deep Learning + ML Foundation: Combine neural networks, classical ML, and modern frameworks in one program.
Mentorship From AI Professionals: Weekly reviews and live sessions with experts working in AI product and R&D teams.
Placement Support: Resume guidance, GitHub portfolio, and mock interviews customised to AI roles.
π° Program Fee: βΉ1,20,000 | EMI starts at βΉ10,000/month
What Makes Us Unique?
Features | Our Program | Traditional Courses | Free Tutorials |
Real AI Projects | β Yes | β Rare | β No |
Deep + Classical ML Combined | β Yes | β Minimal | β No |
Placement Support | β Yes | β Yes | β No |
Payment Flexibility | β Yes | β Rare | β Yes (Limited) |
How This Program Works
1. Real-World Module Development
Train ML and DL models using Scikit-Learn and PyTorch
Build neural networks from scratch
Solve computer vision and NLP problems
Learn model deployment and scaling
2. Projects to Build Your Portfolio
Face recognition system with CNN
Language classifier with LSTM or transformers
AI chatbot using seq2seq and attention
Recommender system using embeddings
3. Continuous Feedback & Improvement
Live project reviews and architecture feedback
Mentorship on model tuning and evaluation
Personalised code walkthroughs and debugging
Weekly project checkpoints and goal setting
4. Placement Preparation
Resume and GitHub portfolio building
Mock technical interviews and take-home projects
Career guidance for product and research roles
Access to hiring partners and referrals
Who Is This Program For?
β
Students & Freshers β Build a solid AI foundation with guidance and hands-on real-world exposure.
β
Engineers & Developers β Advance into AI with deep learning, NLP, and real deployment skills.
β
Career Switchers β Break into artificial intelligence roles across product, research, and enterprise use cases.
Tools & Technologies Youβll Master
Programming & Libraries
- Python
- NumPy
- Pandas
- Scikit-Learn
Deep Learning Frameworks
- PyTorch
- TensorFlow
- Keras
- OpenCV
AI Domains
- Computer Vision
- NLP
- Recommender Systems
- Generative AI
Deployment Tools
- Streamlit
- Flask
- ONNX
- Hugging Face Transformers
Program Timeline
Months 1β3: Foundations in Python & ML
Master Python, NumPy, Pandas, and Scikit-Learn for core ML concepts like classification, regression, and EDA.
Months 4β6: Deep Learning with Neural NetworksΒ v
Train CNNs, RNNs, and fully connected networks using PyTorch or TensorFlow. Focus on core architecture and evaluation.
Months 7β9: NLP, CV & Advanced Applications
Work on computer vision and natural language applications including image classification, text generation, and chatbot building.
Months 10β12: Capstone Projects & Job Prep
Build multi-model AI applications, simulate real-world use cases, and prepare for interviews with mentor guidance.
Career Outcomes
Get ready for roles like:
AI Engineer
Deep Learning Specialist
NLP Engineer
Computer Vision Developer
πΌ Average Salaries: βΉ7β12 LPA (entry-level) | βΉ18+ LPA (with experience)
Apply Now
Ready to build the AI systems of tomorrow?
Apply now and become a certified AI developer with GullyAcademy in just 12 months.
π [Apply Now]
Contact & Pricing
π° Total Fee: βΉ1,20,000
π EMI: βΉ10,000/month
π Call/WhatsApp: +91-8095858589
π§ Email: info@gullyacademy.com