What will i learn?
- Gain a strong foundation in core AI and Machine Learning concepts.
- Learn Python programming specifically for AI and ML applications.
- Work on hands-on projects using basic machine learning algorithms.
- Understand real-world industry use cases of AI and ML technologies.
- Receive industry-recognized certification provided by Udeck Services.
Curriculum for this course
47 Lessons
00:00:00 Hours
Duration
4 Lessons
00:00:00 Hours
- Course Duration: 6 Months 00:00:00
- Mode: Available in Offline & Online 00:00:00
- Level: Beginner to Intermediate 00:00:00
- Get 40% OFF by enrolling in the online training mode! 00:00:00
Module 1: Introduction to Artificial Intelligence & Machine Learning
5 Lessons
00:00:00 Hours
- What is Artificial Intelligence (AI)? 00:00:00
- What is Machine Learning (ML)? 00:00:00
- Key Differences: AI, ML, Deep Learning 00:00:00
- Importance and Future of AI & ML 00:00:00
- AI in Everyday Life: Real-World Applications 00:00:00
Module 2: Overview of AI & ML in Industry
3 Lessons
00:00:00 Hours
- AI & ML in Healthcare, Finance, Marketing, E-commerce 00:00:00
- Business Problem Solving through AI & ML 00:00:00
- Types of Machine Learning: Supervised, Unsupervised, Reinforcement 00:00:00
Module 3: Python Programming Essentials for AI & ML
5 Lessons
00:00:00 Hours
- Python Basics: Variables, Loops, Conditional Statements 00:00:00
- Functions, Lists, Dictionaries, Tuples 00:00:00
- File Handling with CSV, JSON 00:00:00
- Working with Libraries: NumPy Basics 00:00:00
- Writing Clean, Reusable Code 00:00:00
Module 4: Data Handling with Pandas & NumPy
4 Lessons
00:00:00 Hours
- DataFrames, Series, Indexing, Slicing 00:00:00
- Data Cleaning, Transformation, Merging 00:00:00
- Handling Missing Data, Outliers 00:00:00
- Numerical Computation with NumPy Arrays 00:00:00
Module 5: Data Visualization for AI & ML
4 Lessons
00:00:00 Hours
- Importance of Data Visualization 00:00:00
- Using Matplotlib for Basic Graphs 00:00:00
- Using Seaborn for Statistical Visualizations 00:00:00
- Creating Line, Bar, Scatter Plots, Heatmaps 00:00:00
Module 6: Core Machine Learning Concepts
4 Lessons
00:00:00 Hours
- ML Lifecycle: Problem, Data, Algorithm, Evaluation 00:00:00
- Data Preprocessing Techniques 00:00:00
- Feature Selection & Engineering 00:00:00
- Model Building: Train, Test, Split 00:00:00
Module 7: Introduction to Popular ML Algorithms
6 Lessons
00:00:00 Hours
- Linear Regression 00:00:00
- Logistic Regression 00:00:00
- K-Nearest Neighbors (KNN) 00:00:00
- Decision Trees 00:00:00
- Naive Bayes 00:00:00
- Clustering: K-Means 00:00:00
Module 8: Model Evaluation & Performance Metrics
4 Lessons
00:00:00 Hours
- Accuracy, Precision, Recall, F1 Score 00:00:00
- Confusion Matrix 00:00:00
- ROC Curve, AUC 00:00:00
- Overfitting & Underfitting Explained 00:00:00
Module 9: Real-World Use Cases & Mini Projects
4 Lessons
00:00:00 Hours
- Predictive Analysis with Real Datasets 00:00:00
- Classification of Text or Images (Basic Level) 00:00:00
- Market Segmentation using Clustering 00:00:00
- Project Presentation: From Problem to Solution 00:00:00
Module 10: Industry Trends & AI/ML Career Opportunities
4 Lessons
00:00:00 Hours
- The Future of AI and ML 00:00:00
- Popular AI & ML Job Roles 00:00:00
- Building an AI & ML Career Roadmap 00:00:00
- How to Build a Project Portfolio 00:00:00
Requirements
- A Laptop or Desktop
- Basic Computer Knowledge
- Willingness to Learn and Practice
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Description
Udeck Services offers an affordable and beginner-friendly AI & ML Training Course designed to introduce students to the fundamentals of Artificial Intelligence and Machine Learning. This program is perfect for freshers, 12th pass, or graduates looking to explore the possibilities of AI technologies without needing an advanced technical background.
The training includes Python programming essentials, commonly used AI concepts, and a foundation in machine learning algorithms. Learners will gain exposure to practical applications of AI & ML and understand how these technologies are shaping industries like healthcare, finance, marketing, and more.
Through live projects and hands-on examples, students will build confidence to further pursue specialized AI, ML, or data science fields.
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Thu, 17-Jul-2025chandan kumar
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