Machine Learning + Generative AI
Learn Python, Machine Learning, Deep Learning, LLMs and Generative AI through practical training and real-world projects. Develop, evaluate and deploy intelligent applications while building skills for modern AI development.
Machine Learning & Generative AI
Build practical skills in Python, Machine Learning, Deep Learning and Generative AI through structured, hands-on training. Learn how data is prepared, models are developed, evaluated and applied to real-world AI problems.
The program takes learners from core Python and machine learning concepts to neural networks, LLMs, Generative AI, AI applications and deployment. Practical datasets, guided projects and a capstone help turn concepts into working AI solutions.
- Python Programming & Data Foundations
- Data Preprocessing & EDA
- Supervised & Unsupervised Learning
- Deep Learning with TensorFlow & PyTorch
- Generative AI & LLM Development
- Prompt Engineering & AI APIs
- RAG & Vector Databases
- LangChain, AI Agents & Automation
- Deployment, MLOps & Real-World AI
- Classification, Regression & Model Evaluation
AI Leaf Technologies offers a practical learning pathway for learners who want to develop skills in Machine Learning, Deep Learning and Generative AI. The training combines structured concepts with practical exercises and real-world datasets.
Learners explore Python, data preparation, machine learning algorithms, model evaluation, neural networks, computer vision and deep learning using TensorFlow and PyTorch. Advanced topics include LLMs, Generative AI, prompt engineering, RAG, vector databases, LangChain and AI agents.
The program includes practical projects such as customer churn prediction, image classification, RAG-based document chatbot development and AI agent automation. An end-to-end AI application capstone brings the learning together through a complete project workflow.
Deployment concepts such as Streamlit, FastAPI, Docker, MLOps and AWS basics are also introduced. Learners receive certification guidance, interview preparation, resume support and placement assistance as part of the career-focused learning experience.
Suitable for freshers, working professionals, IT and non-IT career switchers, data analysts, developers, students, graduates and anyone interested in Machine Learning, Deep Learning, LLMs and Generative AI. No prior AI experience is required.
Build practical skills for roles such as Machine Learning Engineer, AI Engineer, Generative AI Engineer, Data Scientist, LLM Engineer, NLP Engineer, Computer Vision Engineer, AI Application Developer and Research Engineer.
This 3-month program combines Python, Machine Learning, Deep Learning, Generative AI, LLMs, LangChain, RAG, AI Agents, model deployment and MLOps fundamentals through practical learning and real-world projects. Training is available in online and classroom modes with weekday and weekend batches. Learners receive hands-on lab experience, real-world datasets, model building and evaluation practice, deployment exposure, interview preparation, resume support, certification guidance and placement assistance. Certification pathways include AWS Certified AI Practitioner, OpenAI Generative AI Certification and TensorFlow Developer Certification. Course Fee: ₹35,000 Offer Price: ₹29,999 EMI / Installment Options Available
START YOUR MACHINE LEARNING JOURNEY
Build practical skills in Machine Learning, Deep Learning and Generative AI through structured training, hands-on projects and industry-focused learning. Get course details, batch information and admission guidance from AI Leaf Technologies.
How it Works
YOUR MACHINE LEARNING & GENERATIVE AI JOURNEY
Move from AI fundamentals to practical development through structured learning, hands-on projects and career-focused training.
Learn Python, data handling, SQL, machine learning concepts and the essential techniques used to develop intelligent systems.
Work with neural networks, computer vision, LLMs, prompt engineering, Generative AI and modern frameworks used in AI development.
Apply your knowledge through RAG applications, vector databases, LangChain, AI agents and real-world projects designed around practical use cases.
Understand Streamlit, FastAPI, Docker, MLOps and cloud fundamentals while developing an end-to-end AI application and preparing for professional opportunities.
MACHINE LEARNING + GENERATIVE AI
Learn The Technology Behind Modern AI.
Build practical expertise in Python, Machine Learning, Deep Learning, LLMs and Generative AI. Create real-world applications with RAG, AI Agents and modern AI development tools through hands-on project-based training.
