What will i learn?
- Understand the difference between AI, ML, and Data Science
- Gain hands-on experience with Python for AI
- Learn basic machine learning algorithms and workflows
- Develop skills in data cleaning and preparation
- Build real-world mini projects like prediction models, classifiers, and chatbots
Curriculum for this course
40 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
5 Lessons
00:00:00 Hours
- What is AI? 00:00:00
- History and evolution of AI 00:00:00
- Applications of AI in the real world 00:00:00
- AI vs Machine Learning vs Data Science 00:00:00
- Scope and future of AI careers 00:00:00
Module 2: Python Programming for AI
5 Lessons
00:00:00 Hours
- Python basics: variables, data types, loops, functions 00:00:00
- Introduction to Jupyter Notebook 00:00:00
- Working with NumPy for numerical operations 00:00:00
- Pandas for data manipulation and analysis 00:00:00
- Matplotlib and Seaborn for data visualization 00:00:00
Module 3: Data Preparation & Preprocessing
6 Lessons
00:00:00 Hours
- Types of data: structured vs unstructured 00:00:00
- Handling missing data 00:00:00
- Data cleaning and transformation 00:00:00
- Encoding categorical variables 00:00:00
- Data normalization and standardization 00:00:00
- Splitting data into training and testing sets 00:00:00
Module 4: Introduction to Machine Learning
6 Lessons
00:00:00 Hours
- What is Machine Learning? 00:00:00
- Types of Machine Learning: supervised, unsupervised 00:00:00
- Linear Regression: concept, implementation, evaluation 00:00:00
- Classification techniques: KNN, Decision Trees, Naive Bayes 00:00:00
- Evaluation metrics: accuracy, precision, recall, F1-score 00:00:00
- Overfitting and underfitting 00:00:00
Module 5: AI Tools & Libraries
5 Lessons
00:00:00 Hours
- Setting up the AI environment 00:00:00
- Jupyter Notebook and Google Colab 00:00:00
- scikit-learn for ML models 00:00:00
- Introduction to TensorFlow and Keras (overview) 00:00:00
- Open-source datasets and repositories (e.g., Kaggle, UCI) 00:00:00
Module 6: Real-World Mini Projects
5 Lessons
00:00:00 Hours
- Prediction Project: Predict house prices or student marks using Linear Regression 00:00:00
- Classification Project: Email spam classifier or loan eligibility checker 00:00:00
- Chatbot Project: Build a basic rule-based chatbot using Python 00:00:00
- Data Visualization Project: Analyze trends in a public dataset (e.g., COVID, sales, etc.) 00:00:00
- Bonus: Number recognition or image classifier using basic computer vision concepts (optional) 00:00:00
Module 7: Final Assessment & Certification
4 Lessons
00:00:00 Hours
- Review of project work and core concepts 00:00:00
- Viva or Q&A round on AI basics and mini projects 00:00:00
- Feedback and performance evaluation 00:00:00
- Certification distribution 00:00:00
Requirements
- Laptop or desktop system
- Basic Programming Knowledge (preferably Python)
- Understanding of Basic Math/Statistics
- Eagerness to Learn and apply AI through hands-on mini projects
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Description
The AI Training program by Udeck Services, Siliguri is designed for students and professionals eager to enter the world of Artificial Intelligence. This hands-on course introduces core AI concepts, the role of Python in AI development, and the basics of machine learning and data preparation. You’ll explore real-world applications through guided mini projects such as prediction models, classification systems, and chatbot development.
Whether you're a beginner or an IT student with basic programming knowledge, this course offers the perfect starting point to build practical AI skills. By the end of the training, you’ll be equipped with the foundational tools and experience needed to step into the growing AI industry—with a certificate to showcase your new skills.
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