Full Stack AI/ML Training - Internship at India’s Leading AI Startup
Master AI/ML with our hands-on training and guaranteed internship program designed for aspiring professionals.
Course Duration
Approx 6 Months

Why Choose Our Full Stack AI/ML Program?
- Gain expertise in Python, Machine Learning, Deep Learning, and Full Stack Development.
- Build a career in AI/ML with a 7+2 months program that includes an optional Python Bootcamp, Traning and Guaranteed Internship.
Internship at India’s Leading AI Startup
Transform Your Career!

Hands-on AI Expertise
Gain practical experience by working on live AI projects that solve real-world challenges.

Career Transformation
Collaborate with industry experts at India’s top AI startup and develop innovative AI-driven solutions.

Journey to Innovation
Build a portfolio showcasing your AI skills to enhance your career prospects.
Key Highlights
Internship at India’s Leading AI Startup duration : 2 months
Mini-ProjectsWork on projects in domains like healthcare, retail, and finance.
Direct mentorship from seasoned industry professionals.
Boost your resume with industry-relevant experience.
Need to know more?
Get to know the course in-depth by downloading the course brochure

Master Industry-Leading Tools in AI/ML Training
What You’ll Learn
What You’ll Learn
Key Topics:
- Basics of Python
- Data Structures
- Programming Concepts
- Object-Oriented Programming (OOP)
- Work with Popular Python Libraries:
- NumPy
- Pandas
- Matplotlib & Seaborn
Mini Projects:
- Basic Calculator
- To-Do List Application
Key Topics:
- Linear Algebra
- Probability & Statistics
- Calculus
- Statistics
- Geometry & Graph Knowledge
Key Topics:
- What is AI?
- Types of AI
- AI Applications
- AI Ethics
Key Topics:
- Relational Databases
- NoSQL Databases
- Data Lakes & Warehouses
- Querying with SQL & NoSQL
Mini Projects:
- SQL Database for Inventory Management
- NoSQL Database for User Profiles
Key Topics:
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Semi Supervise
Mini Projects:
- Predictive Analytics
- Classification
- Anomaly Detection
- Recommendation
Key Topics:
- Neural Networks: Introduction to perceptron, feedforward neural networks, activation functions
- Backpropagation Algorithm: Learning how neural networks learn and adjust weights.
- Deep Learning Frameworks: Introduction to TensorFlow and PyTorch for building and training deep learning models.
- Convolutional Neural Networks (CNNs): Techniques for image recognition, classification, and object detection.
- Recurrent Neural Networks (RNNs) and LSTMs: Handling sequential data, time-series forecasting, and natural language processing.
- Reinforcement Learning – Introduction.
Mini Projects:
- Image Classifier
- Time-Series Forecasting
- Autoencoder for Image Denoising
Key Topics:
Natural Language Processing (NLP)
- Text Preprocessing: Tokenization, stop words, stemming, and lemmatization.
- Text Representation: Bag of Words, TF-IDF, Word2Vec, and GloVe embeddings.
- Language Models: Understanding BERT and GPT for tasks like text classification and sentiment analysis.
- Chatbots & Conversational AI: Designing chatbots using rule-based and machine learning methods.
- Image Preprocessing: Image resizing, normalization, and data augmentation techniques.
- Feature Extraction: Edge detection, SIFT, and HOG features.
- Deep Learning for CV: Convolutional Neural Networks (CNNs), Transfer Learning, and Pretrained Models (e.g., VGG, ResNet, MobileNet).
- Object Detection: Techniques like YOLO, SSD, and Faster R-CNN.
- Image Classification & Segmentation: Semantic segmentation and instance segmentation using U-Net and Mask R-CNN.
Mini Projects:
Natural Language Processing (NLP)
- Sentiment Analysis on Social Media Data
- Text Summarizer
- Plagiarism Detection
- Handwritten Digit Recognition
- Face Mask Detection
- Image Classification
- Object Detection in Real-Time
- Image Colorization
- Virtual Try-On System
Key Topics:
- Docker
- Git
- Gradio Streamlit, Flask, Fast, Flask
- Cloud Platforms
Key Topics:
- Generative Models
- LLM Models
- Frameworks for LLMs
- AI Regulations
Mini Projects:
- AI-Powered Meeting Assistant
Key Topics:
- Capstone Project: Design, develop, and deploy a full-stack AI application, combining machine learning, deep learning, NLP, or generative AI techniques
- Project Presentation: Present your project to instructors and peers, explaining your approach, technologies used, and results.
Python Crash Course
- Basics of Python
- Data Structures
- Programming Concepts
- Object-Oriented Programming (OOP)
- Work with Popular Python Libraries:
- NumPy
- Pandas
- Matplotlib & Seaborn
Math & Statistics for AI
- Linear Algebra
- Probability & Statistics
- Calculus
- Statistics
- Geometry & Graph Knowledge
Introduction to AI & AI Ethics
- What is AI?
- Types of AI
- AI Applications
- AI Ethics
Data Access, Handling & Visualisation
- Relational Databases
- NoSQL Databases
- Data Lakes & Warehouses
- Querying with SQL & NoSQL
Machine Learning Fundamentals
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Semi Supervise
Deep Learning
- Neural Networks
- Backpropagation Algorithm
- Deep Learning Frameworks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) and LSTMs
- Reinforcement Learning – Introduction.
NLP / Computer Vision
- Text Preprocessing
- Text Representation
- Language Models
- Chatbots & Conversational AI
Full Stack Development
- Docker
- Git
- Gradio Streamlit, Flask, Fast, Flask
- Cloud Platforms
Generative AI
- Generative Models
- LLM Models
- Frameworks for LLMs
- AI Regulations
Capstone Project / Internship
- Capstone Project: Design, develop, and deploy a full-stack AI application, combining machine learning, deep learning, NLP, or generative AI techniques
- Project Presentation: Present your project to instructors and peers, explaining your approach, technologies used, and results.
Why Choose Us?
Focused on Future-Ready Skills
Focused on Future-Ready Skills
Real-World Industry Exposure
Real-World Industry Exposure
- ● Guaranteed 3-month internship with *adjective*, an AI startup.
- ● Projects aligned with real-world use cases for hands-on learning.
Portfolio-Centric Learning
Portfolio-Centric Learning
Mentored by Industry Experts
Mentored by Industry Experts
Tailored for Career Success
Tailored for Career Success
- ● Job readiness through full-stack AI project deployment skills.
- ● Assistance in resume building and interview preparation.
Innovative Learning Approach
Innovative Learning Approach
- ● Mini-projects for every module to reinforce learning.
- ● Exposure to tools like LangChain, TensorFlow, and PyTorch.
Early-Mover Advantage
Early-Mover Advantage
Community and Networking
Community and Networking
- ● Access to industry events, webinars, and alumni networks.
- ● A collaborative environment to learn, grow, and succeed.
Projects and Portfolio
Capstone Project
Design a comprehensive AI-driven solution tailored to your interests, such as a chatbot, predictive detection system, or image/video classification model.
Mini-Projects
Tackle real-world use cases aligned with the modules covered, such as Python-based tools, predictive analytics, text summarizers, and Generative AI applications.
Portfolio Development
Build a professional GitHub portfolio showcasing your projects, demonstrating your expertise to potential employers.
Admission Details
Join the Program Today!
Eligibility Criteria
For admission to this program, candidates should have:
- A bachelor’s degree with an overall average of at least 50% marks
- Fundamental understanding of mathematics and programming concepts
- Good English communication skills
Pricing and Payment Options
Duration
7+2 months (includes 1-month optional Python bootcamp, training, and internship)
Program Fees
Talk to our conselor for current fees along with easy instalments and applicable discounts
FAQ
Your Questions, Answered
What does Initium Learning’s Full Stack AI/ML training program include?
Why choose Initium Learning for AI/ML training in Pune?
Does the program include placement assistance?
What kind of internship opportunities does Initium Learning offer?
How do I enroll in Initium Learning’s Full Stack AI/ML training program?
You can visit our Shivaji Nagar center, call us at +91 8459865077, or email info@initiumlearning.com to get started.
Who can enroll in the Full Stack AI/ML program at Initium Learning?
Does Initium Learning offer a certification upon course completion?
Need guidance? Talk to our career expert!
Get in touch with our program advisor & get your queries resolved.
Reach out to our expert +91 7517505056

Start Your AI Journey Today!
- Call: +91 7517505056, +91 7517505057
- Email: info@initiumlearning.com
- Address: Office No. 1205, 12th Floor, 7 Business Square, Shivaji Nagar, Pune, Maharashtra 411016
Start Your AI Journey Today!
- Call: +91 7517505056, +91 7517505057
- Email: info@initiumlearning.com
- Address: Office No. 1205, 12th Floor, 7 Business Square, Shivaji Nagar, Pune, Maharashtra 411016