Advanced Diploma in
Data Science and AI ML
Master Machine Learning, Deep Learning & AI Deployment Through Real Projects.
- 6 Months (240+ Hours) of Training
- Online / Offline / Hybrid Mode of Delivery
- 10000+ Learners
- 300+ Hiring Partners
- 25+ Tools Covered
In Collaboration with
Start a New Career in
6 - 12 Months
Get
IBM Certificate
1:1 Placement
Mentorship
300+ Hiring
Partners
Build job-ready skills for roles such as Data Scientist, Machine Learning Engineer, AI Engineer, Data Analyst, and Research Scientist.
Course Overview
Advanced Diploma in Data Science and AI ML
The Advanced Diploma in Data Science and AI ML is an intensive 6-month ai ml course designed to develop industry-ready professionals with strong expertise in data science, machine learning, and artificial intelligence applications. Learners build hands-on proficiency in Python for AI, SQL, statistical analysis, data preprocessing, and predictive modeling while working with advanced tools such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Power BI, and Tableau across real-world AI workflows.
Through real-world projects, capstone implementations, and industry-led mentorship, this advanced diploma in ai ml bridges the gap between data science concepts and practical ai applications. With dedicated placement assistance, this artificial intelligence course prepares graduates for high-demand roles such as Data Scientist, Machine Learning Engineer, AI Engineer, Data Analyst, Business Analyst, and Research Scientist across industries.
Who Should Enroll
Who Should Take Advanced Diploma in Data Science and AI ML
This job-oriented AI ML course is designed for diverse career stages, from fresh graduates to seasoned professionals.
Who This Course Is Ideal For
Graduates, engineers, and freshers seeking to begin a career in data science, machine learning, and AI domains.
Early-stage professionals aiming to transition into high-growth data and AI roles.
Mid-career individuals, career switchers looking to master machine learning algorithms and deep learning.
Working Professionals from diverse fields moving toward data-driven career paths.
Independent learners seeking structured, hands-on industry-focused training.
Minimum Eligibility & Required Knowledge
Bachelor's degree from any stream or equivalent qualification.
Basic computer knowledge and familiarity with technology is helpful.
Willingness to learn consistently and follow structured training.
Ready to get started ?
Talk to one of our career advisors and find out if this program is right for you
Curriculum
Curriculum of Our Advanced Diploma in Data Science and AI ML
Python Programming & Data Foundations
You will cover Python for AI from setup to object-oriented programming, work with core data structures, handle errors, and build practical proficiency in Python and its essential libraries that data science and AI work demands on day one.
- Python, Jupyter Notebook
- NumPy, Pandas
- Matplotlib, Seaborn
- OOP and modular Python workflows
Statistics & Data Analysis
Develop the statistical mindset required for modern data science roles. You will work with probability theory, data distributions, descriptive and inferential statistics, feature engineering, hypothesis testing, confidence intervals, and statistical tests like Z-test and Chi-square used to draw reliable conclusions from data.
- Python (SciPy, statsmodels)
- NumPy, Pandas
- Excel, Google Sheets
- Statistical inference workflows
Data Handling, SQL & Visualization
Move beyond raw data into structured analysis and storytelling. You will work with Pandas Series and DataFrames, Python and MySQL integration, file handling, data grouping, missing data treatment, and build integrated dashboards that turn datasets into clear, actionable insights.
- Pandas, OpenPyXL
- MySQL, SQL queries
- Power BI, Tableau
- Matplotlib, Seaborn
Machine Learning & Model Building
In this module, you will work through supervised learning, unsupervised learning with K-means clustering, machine learning algorithms, model training and tuning, predictive modelling, and apply machine learning to real-world problems using industry-standard frameworks that hiring managers actually recognize.
- Python, Scikit-learn
- Pandas, NumPy
- Model evaluation and tuning workflows
- Clustering and pattern recognition pipelines
Deep Learning & Artificial Intelligence
Move into neural networks and intelligent systems. You will work with deep learning foundations, artificial neural networks, CNNs, RNNs, forward and backward propagation, model training techniques, and explore artificial intelligence applications including computer vision and natural language processing using TensorFlow and PyTorch.
- TensorFlow, Keras
- PyTorch
- ANN, CNN, RNN architectures
- ChatGPT, DALL-E, NLP workflows
Code Optimization, Deployment & Capstone
Bring data science and AI systems into production-ready environments. You will learn code optimization techniques, robust error handling, model deployment through REST APIs and Docker, and execute an end-to-end capstone project covering problem definition, data preprocessing, model development, deployment, and performance evaluation.
- Docker, REST API
- MLflow, AWS
- Python, MySQL integration
- End-to-end deployment and reporting workflows
English Communication & Grammar
Build the communication foundation that every professional setting demands. You will cover grammar, vocabulary, verbal and written communication, non-verbal cues, public speaking, and professional etiquette, finishing with practical application exercises and a framework for continuous improvement.
- Basics of Communication
- Grammar and Vocabulary
- Verbal Communication Skills
- Written Communication
- Non-verbal Communication
- Confidence and Public Speaking
- Professional Communication Etiquette
- Practical Application
- Continuous Learning
Mock Interviews
Prepare for every angle an interviewer can throw at you. This practice assessment module runs you through real interview simulations across multiple question types, so nothing catches you off guard on the day.
- Personal Introduction
- Technical Skills
- Problem-Solving
- Behavioral Insights
- Industry Knowledge
- Hypothetical Scenarios
- Soft Skills
Corporate Etiquette
Learn how professionals actually conduct themselves at work, from the boardroom to the lunch table to the exit interview. You will cover every situation a workplace throws at you before you are in it.
- Making the Most of Meetings
- Dressing Right for the Workplace
- Being Respectful and Thoughtful at Work
- Keeping Your Workspace Clean and Organized
- Using Technology Responsibly
- Dining with Manners in Professional Settings
- Building Relationships Through Networking
- Best Practices for Virtual Meetings and Online Communication
- Managing Your Time and Meeting Deadlines
- Understanding and Respecting Cultural Differences
- Leaving a Job Gracefully
- Sharpen the quantitative and logical reasoning skills that appear in every hiring assessment. You will work through problem types that test numerical ability, analytical thinking, and pattern recognition, building both speed and accuracy under test conditions.
IBM | Industry Partnership
Industry Partnership Courses Offered in Association with IBM
The Advanced Diploma in Data Science and AI ML includes integrated programs offered in collaboration with IBM. These programs feature guided labs delivered through the IBM Learning Management System, enabling hands-on experience in data science methodology, machine learning, generative AI, and analytics workflows. With real-world, case-driven learning aligned to industry standards, learners gain practical exposure to data analysis, predictive modeling, and AI applications. Backed by IBM’s global credibility, these certifications strengthen employability and prepare professionals for high-demand roles in data science and AI-driven environments.
IBM Modules
A Quick Introduction to Machine Learning
Artificial Intelligence Fundamentals
AI Applications with Python and Flask
IBM Guided Labs
Advanced Machine & Deep Learning for SPAM classification
Advanced Machine Learning Analysis in Retail
Build your own Unbeatable TicTacToe AI
Tools & Technolog
Tools You Will Learn in Advanced Data Science & AI ML Tools You'll Master Through Our Course
In this course, you will master advanced data science, machine learning, and artificial intelligence tools widely used across industries. From Python for AI and predictive modeling to deep learning with TensorFlow and PyTorch, the tool stack reflects what 2026 hiring managers actually screen candidates for. Through hands-on training, real-world projects, and practical business use cases, you will develop the technical expertise and problem-solving skills required to work in modern data science, machine learning, and AI-driven environments.
Curriculum
Skills You Will Learn in Our Advanced Diploma in Data Science and AI ML
Python Programming
SQL & Data Handling
Data Preprocessing
Exploratory Data Analysis
Predictive Modeling
Data Visualization
Machine Learning
Supervised & Unsupervised Learning
Model Evaluation & Tuning
Deep Learning
Neural Networks (CNN, RNN)
Natural Language Processing
Computer Vision Basics
Model Deployment
REST API & Docker
End-to-End AI Projects
Curriculum
Certification You Will Earn
Upon completing this course, you will receive a globally recognized Data Science AI and Machine Learning certification from Win In Life Academy. In addition, learners earn separate certifications for each IBM module completed through IBM’s official e-learning platform, including Data Science Methodology, Machine Learning Fundamentals, Developing GenAI Applications, and guided IBM labs. Together, this AI ML certification course combined with IBM credentials strengthens your professional profile and demonstrates your capability in data science, machine learning, and artificial intelligence applications.
Win In Life Academy Certificat
Globally recognized diploma certificatio
IBM Module Certification
Prompt Engineering, Cognos Analytics, Generative AI & IBM lab
Note:
To secure your Advanced Diploma in Data Science and AI ML certificate, you must successfully complete the data science training from Win in Life Academy.
Placement Support
The Win In Life Placement Mentorship Program
At Win In Life Academy, we see every learner as a future professional in the making. Our Placement Mentorship Program is built to personally guide, nurture, and mould them through every stage of their journey, mentoring each student into a confident, capable professional ready to build a successful career in the current industry.
Assess Your Knowledge & Prepare for Interviews
Learners work closely with trainers to evaluate their understanding of core concepts and identify areas that need improvement. This phase bridges course learning with interview readiness through structured evaluations, technical skills training, and non-technical mock preparation. With continuous trainer guidance and performance tracking, learners revise their technical understanding, get tips for communication, and build confidence to perform effectively in technical and HR interviews.
Understand Career Roles and Develop Your Profile
In this phase, learners are given a detailed view of the placement process, and expectations are set. They gain clarity on real-world data science career roles, eligibility requirements for different job functions in the IT and related domain, companies that are hiring, and what will be the career path for each of the roles. Guided by trainers, learners get an opportunity to develop their resumes for specific data science job roles. They also get support for optimizing LinkedIn profiles. The process ensures that every learner is strategically positioned for suitable job opportunities and equipped to present a strong professional profile.
Apply for Roles and Attend Interviews
In this phase, learners transition from preparation to real-world opportunities. The Placement Team actively maps each candidate’s profile to suitable job openings, briefs them on role expectations, and provides personalized coaching for upcoming interviews. Through one-on-one guidance, employer coordination, and structured feedback after every interaction, learners gain practical exposure to hiring processes and the confidence to perform effectively. The placement team continues to support ongoing placement efforts and ensures every learner remains connected until successfully placed.
Career Paths This Foundation Course Prepares You For
Data Scientist
- Entry Level
- Mid Level
- Senior level
- ₹5 LPA – ₹8 LPA
- ₹10 LPA – ₹16 LPA
- ₹18 LPA – ₹28 LPA+
Machine Learning Engineer
- Entry Level
- Mid Level
- Senior level
- ₹5 LPA – ₹9 LPA
- ₹10 LPA – ₹18 LPA
- ₹20 LPA – ₹30 LPA+
AI Engineer
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹10 LPA
- ₹12 LPA – ₹20 LPA
- ₹22 LPA – ₹35 LPA+
Data Analyst
- Entry Level
- Mid Level
- Senior level
- ₹4 LPA – ₹6 LPA
- ₹7 LPA – ₹11 LPA
- ₹13 LPA – ₹18 LPA+
Business Analyst (AI/ML Focus)
- Entry Level
- Mid Level
- Senior level
- ₹4 LPA – ₹7 LPA
- ₹8 LPA – ₹13 LPA
- ₹15 LPA – ₹22 LPA+
Research Scientist
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹10 LPA
- ₹12 LPA – ₹20 LPA
- ₹22 LPA – ₹35 LPA+
What Our Students Say
The training at WILA empowered me with confidence, real-world skills, and career clarity.
Sharmistha Malakar
WILA's hands-on training and mentorship helped me grow professionally and gave me career direction.
Manupriya M
The comprehensive training and supportive environment at WILA gave me the tools to succeed.
Paramanandhan
WILA's career-focused training transformed my approach to learning and made me job-ready.
Sooryagayathri Sujith
WILA's structured training process helped me build practical skills and confidently approach job opportunities.
Kuncham Vasanth Kumar
The supportive training environment at WILA enhanced my skills and gave me the confidence to excel.
Tejavath Renuka
WILA’s training and placement support helped me gain confidence and prepare effectively for real job opportunities.
Rupa Choudhury
The mentorship and structured approach at WILA helped me stay focused and prepare consistently for opportunities.
Pranamya P Gunaga
WILA’s career preparation process guided me step-by-step, making the transition from learning to interviews much smoother.
Mahesh Babu
WILA helped me stay disciplined throughout training and approach interviews with better clarity and confidence.
Subha Jeyabalan
The training environment at WILA pushed me to improve consistently and prepare seriously for job opportunities.
Vara Prasad
Tools & Technolog
Why Choose WILA for Advanced Diploma in Data Science and AI ML
This course is designed for diverse career stages — from fresh graduates to seasoned
professionals
Globally Accredited Programs
IBM Add-on Courses
1:1 Placement Mentorship
72% placed within 6 Months
Industry-Aligned Curriculum
Real-World Projects
Industry Expert Mentors
Flexible Learning Modes
Curated Job Opportunities
FAQ
Frequently Asked Question (FAQs)
Ready to Transform Your Career
Join hundreds of professionals who launched their careers in digital marketing and AI with Win In Life Academy
Is this the best AI ML course in India for freshers?
This is a job-oriented ai ml course in India designed for freshers and career switchers. It focuses on practical skills, real-world projects, and placement mentorship aligned with current hiring trends.
What is the average salary after a data science and AI ML course in India?
In India, entry-level data science salaries typically range between ₹4–10 LPA. Candidates with strong projects, portfolios, and interview preparation tend to secure higher packages.
What is the duration and fees of this data science and AI ML course?
The duration of this data science and AI ML course is 6 months and fees depends on the course fees at the time of enrollment which is subject to change. Please talk to our course counsellors for more detailed information on course fees.
Does this AI ML course with placement guarantee a job?
This is a support-based data science and AI ML course with placement assistance. You receive mentorship, resume building, and interview preparation, but placement depends on your performance.
What skills are required before joining this data science training institute?
No prior experience is required. This AI ML course starts from Python for AI basics and builds up to advanced machine learning algorithms and deep learning concepts, making it suitable for beginners.
What projects are included in this data science and AI ML training program?
This AI ML course includes real-world projects like predictive modeling, neural networks applications, computer vision, clustering, and an end-to-end capstone covering data analysis to model deployment.
What tools and technologies are covered in this data science and AI ML course?
This artificial intelligence course with Data Science covers Python, SQL, TensorFlow, Scikit-learn, Keras, PyTorch, Power BI, Tableau, Docker, and AWS used in real industry workflows.
Will I get a certificate after completing this AI ML certification course?
Yes, you will receive an ai and machine learning certification validating your skills in data science, machine learning, and artificial intelligence applications.
Does this course cover deep learning, neural networks, and NLP?
Yes. This AI ML course covers deep learning, artificial neural networks, CNNs, RNNs, computer vision, and natural language processing using TensorFlow, Keras, and PyTorch. The program is structured as a complete advanced diploma in ai ml with hands-on practical exposure to model building and deployment frameworks.
Where is this data science and AI ML course available?
Our Advanced Diploma in Data Science and AI ML is available in Bangalore, Chennai, and Hyderabad, with both offline and hybrid learning options to suit different schedules of our learners.