Data Science, Artificial Intelligence and Machine Learning Course in Anand
Master AI, Machine Learning, and Data Science with real-world projects.
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Comprehensive AI & ML Curriculum
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Hands-on Learning with Real-World Datasets
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Career Guidance & Freelance Support
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Industry-Ready Certification
Elite Training Program
About AI/ML Course
Data science has become more than just a trendy term. Every business now requires employees that can evaluate data and draw valuable conclusions for the organization. This is indeed one of the key causes of Data Science's recent rise to popularity, and it shows no signs of slowing down. Join RednWhite for Data Science Course in Surat.
Students who take the Python for Artificial Intelligence and Machine Learning course will leave with a firm understanding of Python programming and its uses in the disciplines of AI and ML. Students will learn how to build AI/ML algorithms, work with well-known libraries and frameworks, and develop practical AI/ML solutions in Python during this course. Enroll for Artificial Intelligence and Machine Learning Course in Ahmedabad today. You will learn about artificial intelligence (AI) throughout the artificial intelligence training in Bangalore, which is the process of teaching robots to emulate human learning. Utilize AI to automate your most important business activities by enrolling in the Artificial Intelligence Course certification program. If you are unaware of what python is, you can join our python course in anand to know better about AI&ML.
Duration
18 Months
Schedule
4+2 Hours Daily
Eligibility
BCA, MCA, CE, IT, 12th Pass (Science)
Prerequisites
- BCA, MCA, CE, IT, 12th Pass (Science), Statistics Background
- Basic Programming Knowledge Recommended
- Passion for AI & Machine Learning
Technologie & Tools You'll Master
Python
SQL
TensorFlow
Power BI
NLP
Course Curriculum
Our comprehensive curriculum is designed with industry needs in mind, ensuring you're job-ready upon graduation.
- Python and Jupyter Notebook Basic Introduction
- Data Types, Variables & Operators
- Control Structures & Looping
- Functions & Modules
- NumPy for Numerical Data Handling
- Pandas for Data Manipulation
- Matplotlib & Seaborn for Data Visualization
- Exploratory Data Analysis (EDA)
- Data Cleaning & Preprocessing
- Introduction to Databases & SQL
- Data Retrieval (SELECT, WHERE, ORDER BY)
- Filtering & Aggregation (GROUP BY, HAVING)
- Joins (INNER, LEFT, RIGHT, FULL)
- Subqueries
- Data Manipulation (INSERT, UPDATE, DELETE)
- Window functions
- Case expressions
- Basic & Advanced Formulas
- Conditional Formatting & Data Validation
- Pivot Tables & Charts
- Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)
- Data Cleaning & Transformation
- Introduction to BI & Data Visualization
- Connecting & Importing Data
- Data Modeling & DAX Functions
- Creating Interactive Dashboards
- Advanced Charts & Visuals
- Power Query for Data Transformation
- Understanding Real-World Business Problems
- Defining Key Performance Indicators (KPIs)
- Data-Driven Decision Making
- Hands-on Business Case Analysis
- Applying Python, SQL, Excel & Power BI in Business Scenarios
- Presentation & Report Writing
- Introduction to Machine Learning and Types of Learning
- Supervised Learning: Linear/Logistic Regression, Decision Trees
- Unsupervised Learning: Clustering, K-Means, PCA
- Model Evaluation and Metrics
- Feature Engineering & Model Selection
- Hands-on with Scikit-learn
- Fundamentals of Neural Networks
- Activation Functions and Backpropagation
- Deep Learning Architectures: CNNs, RNNs, LSTMs
- ntroduction to TensorFlow and Keras
- Model Optimization and Regularization
- Building Deep Learning Models for Real-World Applications
- AI Fundamentals and its Role in Automation
- Reinforcement Learning
- Natural Language Processing (NLP): Text Processing and Tokenization
- Computer Vision with OpenCV and CNN
- Implementing AI in Real-World Applications
- Data Visualization Techniques
- Visualizing Data with Excel and Power BI
- Building Interactive Dashboards
- Data Storytelling and Communicating Insights
- Advanced Visualization Techniques with Python (Matplotlib, Seaborn)
- Working on an Industry-Oriented AI/ML Project
- End-to-End Data Science Pipeline Implementation
- Model Deployment and Evaluation
- Presenting Insights and Solutions to Real-World Problems
What You Will Learn
This course will help you understand data, analyze it, and prepare you for a professional career as a Data Analyst!
Microsoft Excel
Data handling, formulas, pivot tables & data visualization.
SQL (Structured Query Language)
Database management and query writing skills.
Python for Data Analysis
Data processing using pandas, numpy, and matplotlib.
Data Visualization
Present data using graphs and charts in Power BI.
Real-world Projects
Hands-on projects for real-world industry applications.
