Best AI ML Training | AI ML Online Courses 
                     AI & ML (ARTIFICIAL INTELLIGENCE
& MACHINE LEARNING)
A STEP-BY-STEP GUIDE (2025–26)
WWW.VISUALPATH.IN
WHAT IS AI?
• Artificial Intelligence (AI) means making machines 
think and act like humans.
• AI can see, listen, understand, decide, and act.
• Examples: Chatbots, face recognition, and self-driving 
cars.
Simple meaning:
 👉 AI = Smart machines
WWW.VISUALPATH.IN
WHAT IS MACHINE 
LEARNING (ML)?
• Machine Learning is a part of AI.
• ML allows machines to learn from data without being 
manually programmed.
• The more data → the better the learning.
Simple meaning:
 👉 ML = Learning from data
WWW.VISUALPATH.IN
AI VS ML (EASY DIFFERENCE)
• AI → Big concept (thinking machines)
• ML → Technique inside AI (learning from data)
• All ML is AI, but not all AI is ML
WHY AI & ML ARE IMPORTANT
• Automates work ⚙ 
• Makes smart predictions 👉
• Used in every industry 👉👉👉
• High-demand career skills 👉
HOW AI-ML WORKS (STEP-BY-STEP)
TEST & IMPROVE 
 COLLECT DATA
MODEL
CLEAN & PREPARE DATA DEPLOY MODEL
TRAIN ML MODEL MONITOR RESULTS
TYPES OF MACHINE LEARNING
• Supervised Learning – Labelled data (spam detection)
• Unsupervised Learning – No labels (customer grouping)
• Reinforcement Learning – Learn by rewards (games, robots)
COMMON AI-ML ALGORITHMS
• Linear Regression • Random Forest
• Logistic Regression • K-Means
• Decision Trees • Neural Networks
ESSENTIAL TOOLS FOR AI-ML
DATA & VISUALISATION 
PROGRAMMING LIBRARIES TOOLS
• NumPy
• Python • Pandas • Excel
• R • Matplotlib • Power BI
• Scikit-learn • Tableau
• TensorFlow • Seaborn
• PyTorch
WWW.VISUALPATH.IN
AI-ML PLATFORMS & 
REAL-WORLD USE CASES CLOUD
• Recommendation systems (Netfl ix, 
Amazon) • Google Vertex AI
• Fraud detection • AWS SageMaker
• Healthcare predictions • Azure Machine Learning
• Chatbots & voice assistants • Databricks
• Image & speech recognition
WWW.VISUALPATH.IN
SKILLS STUDENTS SHOULD LEARN
• Python & SQL
• Statistics & probability
• Data analysis
• ML algorithms
• Model evaluation
• Basic cloud knowledge
Career Roles
• Machine Learning 
Engineer
LEARNING ROADMAP FOR • Data Scientist• AI Engineer
• Research Analyst
STUDENTS
1 👉 Learn Python basics
2 ️ Understand data & statistics
3 ️ Practice ML algorithms
4 ️ Work on mini projects
5 ️ Learn deployment basics
6 ️ Build a strong portfolio
TOP HIRING 
COMPANIES
• Google • NVIDIA
• Microsoft • IBM
• Amazon • Accenture
• Meta • Infosys
WWW.VISUALPATH.IN
CONCLUSION (PROFESSIONAL & UNIVERSAL)
AI and Machine Learning  are no longer optional technologies—
they are core drivers of innovation across industries. From 
automation and predictive analytics to intelligent decision-making, 
AI-ML is transforming how organisations operate and compete. By 
understanding the fundamentals, applying the right tools, and 
continually evolving with real-world use cases, individuals and 
organisations can unlock powerful insights, enhance effi ciency, and 
build future-ready solutions. Mastering AI-ML today is an 
investment in long-term growth, relevance, and leadership in the 
digital era. 👉
THANK
YOU!
+91 7032290546
www.visualpath.in