Real-World Projects & Industry Work
- Comprehensive AI & ML Curriculum
- Hands-on Learning with Real-World Datasets
- Career Guidance & Freelance Support
- Industry-Ready Certification
10 Months
Power Skill Training
6 Month
Project Training
About AI/ML Course
Data science is a field of study that uses computers math, statistics and artificial intelligence study massive amounts of data to gain actionable business insights. Data scientists can provide important insights into past events as well as their causes future projections, as well as possible actions to take by finding patterns and trends. Businesses can gain an competitive edge, enhance their processes, and take informed decisions based on these insights. Desktop Publishing or DTP Course in Surat is also offered at our institute.
A solid basis in Python programming and its applications in the fields of artificial intelligence and machine learning are what the Python for Artificial Intelligence and Machine Learning course aims to give students. The objective of this course is to provide students with the knowledge they need to apply AI/ML algorithms, interact with popular libraries and frameworks, and create useful AI/ML applications using Python. We also offer AI ML Courses in Ahmedabad for Python.
Eligibility
- BCA, MCA, CE, IT, 12th Pass (Science), Statistics Background
- Basic Programming Knowledge Recommended
- Passion for AI & Machine Learning
Why do this course
Industry-oriented Live Projects
Hands-on training in wireframing, prototyping, branding, and visual storytelling.
Expert Mentors with 10+ Years Experience
Learn the skills to work remotely, in agencies, or as a freelancer.
Practical-based Teaching Approach
Leverage AI-powered design tools like ChatGPT, Microsoft Designer, and Fontjoy to enhance workflow.
Recognized Certification & Portfolio
Work on live projects and build a strong design portfolio to secure top industry jobs.
Course Curriculum
- Data Science & AI/ML
- 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 Visualisation
- 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 Visualisation
- Connecting & Importing Data
- Data Modelling & 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
- Fundamentals of Neural Networks
- Activation Functions and Backpropagation
- Deep Learning Architectures: CNNs, RNNs, LSTMs
- Introduction to TensorFlow and Keras
- Model Optimisation and Regularisation
- Building Deep Learning Models for Real-World Applications
- 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
Build Industry-Based Projects
AI Tools to Learn
SpaCy
OpenCV
Technical Tools & Software to Learn
NLP
TensorFlow
SQL
Python
PowerBI
Job Scope After Course Completion
- Data Scientist
- Machine Learning Engineer
- AI/ML Researcher
- Data Analyst
- Business Intelligence (BI) Analyst
- AI Solutions Architect
- Data Engineer
- Computer Vision Engineer
- NLP Engineer
- AI Consultant
Who will you learn from
- Syllabus Mentor
- SMEs
Mr. Piyush Jinjala
Mr. Jemish Lakhani
Mr. Mohit Rajput
Mr. Alok Kumar
RWn. Mohit Savliya
RWn. Piyush Nakrani
RWn. Milan Kathiriya
RWn. Chakshu Adani
Hear from our Students
Jay Donda
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Nishita Manjaravala
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Nayan Gayke
ITA-CS+
We are located in
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