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Advanced Diploma in AI and Ml
Step into the world where algorithms think and data speak. The Certification in AI and ML by Win in Life Academy delivers a compact yet comprehensive journey through the pillars of modern intelligence in data analytics, supervised & unsupervised learning, and model optimization. Experience interactive labs, guided project, and mentor-led sessions that transform theory into tangible skills. By the end of this 3-month program, you’ll not only understand how AI works, but you’ll also know how to make it work for you. Whether you’re switching careers or advancing in your current role, this program equips you with the confidence, portfolio, and expertise to excel in the AI-driven future.
Program Details
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Key Takeaways
- Strong AI & ML Foundation: Build a solid understanding of Python programming, data handling, statistics, and machine learning principles of the core pillars of AI-driven problem-solving.
- Hands-On, Practical Learning: Learn by doing through guided coding sessions, real-world datasets, and a capstone mini project that connects theory with real application.
- Data Analysis & Visualization Skills: Develop the ability to clean, analyze, and visualize data using tools like NumPy, Pandas, Matplotlib, and Seaborn, transforming raw information into meaningful insights.
- Pathway to Advanced Learning: Finish the course with technical confidence and conceptual clarity to pursue advanced certifications or specialized roles in AI, ML, and data analytics.
Learner Profile
- Acquire a comprehensive understanding of basic AI and ML concepts, algorithms, and statistical principles.
- Build practical proficiency in Python, essential AI and ML libraries (like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), and cloud platforms for model creation and deployment.
- Learn to derive meaningful insights from data, construct predictive models, and automate analytical workflows for efficiency.
- Grasp the ethical implications of AI and learn to design and implement AI systems responsibly and ethically.
- Investigate how AI and ML are revolutionizing various sectors such as finance, healthcare, retail, and manufacturing.
- Learn to leverage Certification in AI and ML insights to anticipate future industry shifts and make well-informed strategic business decisions.
- Understand the legal, regulatory, and ethical frameworks governing AI ML implementation within specific industry contexts.
- Gain practical experience working with real-world industry datasets and learn to extract valuable insights for practical applications.
- Master the complete lifecycle of developing, deploying, and maintaining robust AI and ML models in real-world production environments.
- Learn to evaluate model performance rigorously, identify areas for enhancement, and optimize models for practical, real-world use cases.
- Utilize AutoML tools and other advanced techniques to streamline AI ML development processes and accelerate innovation cycles.
- Stay informed about the latest breakthroughs in AI ML certification and cultivate the adaptability to embrace emerging technologies.
Advantages of Enrolling in Certification in AI and ML
Pursuing an AI ML Certification Courses offers an excellent foundation for those beginning their journey in the world of intelligent systems. This program provides structured, beginner-friendly training that helps you understand the logic behind AI technologies, develop essential technical skills, and gain confidence to explore emerging opportunities in data-driven industries.
- Natural Language Processing (NLP) : Discover how computers process and analyze human language using structured data. Learn the basics of text preprocessing, keyword extraction, and sentiment analysis to understand how virtual assistants, recommendation engines, and chatbots operate in real-time environments.
- Computer Vision : Get introduced to how machines interpret visual data through images and video. Understand the principles of pattern detection, image enhancement, and feature extraction in the building blocks behind technologies like facial recognition, quality inspection, and medical imaging systems.
- Deep Learning : Explore the foundations of neural networks and their ability to learn from large datasets. Grasp how layered architectures identify patterns and improve predictive accuracy in applications ranging from image tagging to voice assistants, laying out the groundwork for advanced AI development.
I'm Interested in this program?
Certification in AI and ML Course
Upon completion of an AI and machine learning certificate course, you will obtain a globally recognized certification from Win in Life Academy.
Globally Recognised Certification
Educational Board of Vocational Training and Research
Note: To secure certification in AI and ML, you must successfully complete the training from Win in Life Academy.
Tools to be Covered in Certification in AI and ML
mlFlow
Python
Docker
ChatGPT
ChatGPT
TensorFlow
AWS
tableau
Microsoft Excel
Rest-API
Power BI
R Language
NumPY
Zapier
Disclaimer: The tools, software, platforms, and datasets utilized in this Certification in AI and ML certification courses are intended solely for educational and instructional purposes. They are designed to support conceptual understanding, hands-on practice, and skill development related to AI and ML methodologies.
These resources are not configured or validated for commercial, clinical, or production-level deployment. Certain tools may operate under limited access or evaluation licenses, customized for academic use only. As such, Win in Life Academy does not warrant their performance, stability, accuracy, or suitability beyond their educational context. Participants are encouraged to apply due caution when experimenting with these resources outside the learning environment.
Master 20+ essential industry tools
AI and Machine Learning Certificate Course Curriculum
Expert Designed AI and ML Certification Courses for Students and Professionals
A robust certification in AI and ML courses is designed by experts to fuel your pathway to land in your dream job.
Pre AI and ML Course Curriculum
Modules
Non-Technical
Module 1
English Communication & Grammar
- 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
Module 2
Mock Interviews
(Practice Assessment Test)
- Personal Introduction
- Technical Skills
- Problem-Solving
- Behavioral Insights
- Industry Knowledge
- Hypothetical Scenarios
- Soft Skills
Module 3
Corporate Etiquette
- 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
Module 4
Aptitude
Program Modules for Certification in AI and ML
This robust curriculum is crafted to guide you from basic data processing to sophisticated model building and evaluation. It's organized across ten modules to deliver a gradual and in-depth educational journey:
Module 1
- 3 weeks
Introduction & Python Programming
Master Python fundamentals, from setup to OOP, with practical projects, enabling proficiency in data manipulation, model deployment, and core AI and ML concepts.
- Why is Python Programming Emergent?
- Installing & Setting up Python on System
- What are Variables & Uses of Variables?
- Python Revisit: Keywords, Data Types, Operators
- Decision Making
- Looping
- User Defined Function
- Lambda Function
- Error Handling in Python
- Python Generators
- Python Modules: Usage and Installation
- Understanding the OOP of Python
- Project on Python
Skills Acquired
- Python Proficiency
- Problem-solving
- Data Visualization
- AI/ML Concepts
- Model Deployment
Highlights
Module 2
- 3 weeks
Statistics
Objective: A foundational module for PG Diploma in Al and ML certification courses covering key statistical concepts and techniques essential for data analysis and machine learning applications.
- Virtual Lab Setup (Kali Linux, Windows, Metasploitable) | Demo
- Introduction to Kali Linux Environment
- Linux File System | Demo
- Basic Linux Commands | Demo
- Configuring a Secure Lab Environment
- Probability Theory
- Data Distributions
- Statistical Inference
- Data Distributions
- Hypothesis Testing
Highlights
Module 3
- 3 weeks
Deep Learning
Objective: A detailed exploration of deep learning techniques, focusing on neural networks and their applications in PG Diploma in Al and ML Certification courses.
- Introduction of Deep Learning
- Types of Deep Learning
- How does D.L. come into Picture?
- What Is ANN?
- Skills acquired
- Neural Networks Design
- Model Training Techniques
- CNNs (Convolutional
- Neural Networks)
- RNNs (Recurrent Neural Networks)
- The Basic terminology- Layer, Weight, Biases, Activation
- function, Losses, Optimizers, Learning rate
- The concept of Forward propagation
- Backward Propagation
- ANN using TensorFlow
- Practical (Creation of ANN model for real Dataset)
- Deep Learning Frameworks
- Neural Networks Design
- Model Training Techniques
- Deep Learning Frameworks
- CNNs (Convolutional Neural Networks)
- RNNs (Recurrent Neural Networks)
Highlights
Module 4
- 3 weeks
Inferential Statistics
Objective: Learn how to draw conclusions from data using inferential statistics. Understand hypothesis testing, confidence intervals, and apply statistical tests like Z-test and Chi-square.
- What are Inferential Statistics?
- Null Hypothesis
- Alternative Hypothesis
- Confidence Interval
- Significance Value
- Real Industry Program of Inferential Statistics
- Hypothesis Problem
- Z – test with Proportion Problem
- Chi Square Test
- Hypothesis Testing
- Statistical Inference
- Z-test
- Chi-square test
- Confidence Interval calculations
Highlights
Module 5
- 3 weeks
NumPy
Objective: Master NumPy arrays for efficient data manipulation. Learn array creation, manipulation, data types, and perform arithmetic and statistical operations.
- Python NumPy Array
- Creating Accessing, Manipulating NumPy Array
- NumPy Data Types
- Array Attributes
- Data Operations
- Arithmetic and Statistical Methods
- Sort, Search, and Count
- Practical
- NumPy Array Manipulation
- Data Operations
- Statistical Methods
- Array Attributes
- Data Sorting and Searching
Highlights
Module 6
- 3 weeks
Pandas
Gain expertise in Pandas Series and Data Frames for data analysis. Learn data manipulation, file handling, grouping, and handling missing data.
- The Series and Data Frame
- Creating, Accessing, Manipulating Pandas Data
- Series and Data Frame Attributes & Basic Functions
- Excel Automation with OpenPyXL
- Statistical Functions; String Functions
- Logical Indexing; Sorting & Reindexing
- Merging, Joining & Concatenation of Data
- Pandas File Handling
- Grouping Data
- Function Application
- Missing Data & Treatment
- Practical
- Pandas Data Manipulation
- Data Analysis
- File Handling
- Data Grouping
- Missing Data Treatment
Highlights
Module 7
- 3 weeks
Python and MySQL Integration
Learn to connect Python to MySQL databases. Execute SQL queries, handle transactions, and retrieve data into Pandas Data Frames for further analysis.
- Installing and configuring MySQL Connector
- Connecting to a MySQL database from Python
- Executing SELECT, INSERT, UPDATE, DELETE queries Handling transactions.
- Retrieving data from MySQL into Pandas data frames, performing data manipulations using Python.
- MySQL Database Interaction
- SQL Query Execution
- Data Retrieval
- Transaction Handling
- Python-MySQL Integration
Highlights
Module 8
- 3 weeks
Code Optimization
Build integrated data dashboards using Python, Excel, and MySQL. Learn code optimization techniques and implement robust error handling.
- Integrating Python, Excel, and MySQL to create a data dashboard
- Using visualization libraries (Matplotlib, Seaborn)
- Connecting the application to MySQL for data storage
- Techniques for optimizing Python and SQL code
- Implementing robust error handling in Python and SQL
- Work on a comprehensive project integrating Python, Excel, and MySQL
- Evaluation Of a Model
- Practical
- Data Dashboard Development
- Code Optimization
- Error Handling
- Data Visualization
- Database Integration
Highlights
Module 9
- 3 weeks
Unsupervised Machine
Explore unsupervised learning with a focus on clustering theory and K-means clustering. Learn to identify patterns in unlabeled data.
- Clustering Theory
- K-means Clustering
- Practical
- Clustering Theory
- K-means Clustering
- Unsupervised Learning Techniques
- Pattern Recognition.
Highlights
Module 10
- 3 weeks
Capstone Project
Apply acquired AI/ML skills to a real-world problem, demonstrating end-to-end project execution, from data analysis to model deployment and evaluation.
- Project Conceptualization and Problem Definition
- Data Acquisition and Preprocessing
- Model Selection and Development
- Model Training and Optimization
- Deployment Strategies and Implementation
- Performance Evaluation and Reporting
- Team Collaboration and Project Management
- Presentation of Project Findings
- End-to-End AI/ML Project Execution
- Real-world Problem Solving
- Model Deployment and Evaluation
- Project Management and Collaboration
- Effective Communication of Technical Findings
Highlights
Our Distinctive Approach
We deliver a comprehensive and industry-aligned certification experience by combining advanced learning resources, a meticulously designed curriculum, and mentorship from seasoned AI and ML professionals.
Practical Application & Industry-Relevant Projects
Our program emphasizes experiential learning through applied projects that translate theoretical knowledge into real-world competence, ensuring alignment with current industry practices.
Expert Mentorship & Academic Excellence
Learn directly from accomplished professionals who bring both technical expertise and practical insight, fostering analytical thinking and equipping you with the skills that reflect the latest advancements in AI and ML.
Career Advancement & Networking Opportunities
Completing this certification opens doors to valuable professional networks, skill-focused guidance, and potential career pathways, positioning you for meaningful opportunities within the AI and ML ecosystem.
Program Fees
New Batches Starts Every 15th & 30th
₹75,000 (*Incl. Taxes)
Note: 0% interest rates with no hidden cost
Programme Faculty
What's Unique About This Program?
Why is our Certification in AI ML the best choice?
Features
Industry-Focused Curriculum
Placement mentorship program
Corporate Etiquette Sessions
Capstone projects
LMS Course kit
EC Council collaboration
Recorded Video
1:1 Personalized Mentorship
Placement Mock Interviews
Interdisciplinary expertise
Industry Expert sessions
WILA
Institute 1
Institute 2
Institute 3
Success Stories
Graduate Perspectives
Win In Life’s AI and ML Course Accreditations
Best AI ML Courses training by experienced faculty and industry leaders in the form of pre recorded videos, projects, assignments and live interactive sessions
Connect with our graduates
Have questions? Reach out to our alumni!
Find WILA alumni profiles and know more about their career path, specialization and more.
Frequently Asked Questions (FAQs)
The AI certificate course offered by Win in Life Academy provides a structured introduction to Artificial Intelligence concepts, tools, and applications. Over three months, learners gain a solid foundation in Python, data analytics, and machine learning fundamentals through hands-on exercises and guided projects.
This machine learning certification course covers supervised and unsupervised learning, regression and classification algorithms, and essential model evaluation techniques. Learner’s practice using real-world datasets to develop predictive models and understand how machine learning is applied across industries.
Our AI ML certification courses are designed with an applied learning approach blending theory, coding practice, and project work. Unlike generic short-term programs, this certification ensures practical proficiency and conceptual clarity in AI-driven problem-solving.
While distinct from the IBM Machine Learning Professional Certificate, our program follows similar industry standards by integrating key tools like NumPy, Pandas, and Scikit-learn. It focuses on foundational learning that prepares students to pursue advanced certifications, including those by IBM.
By completing the AI and machine learning certificate program, you’ll gain hands-on experience in Python programming, data preprocessing, statistics, and algorithm design. You’ll also develop the ability to build, train, and evaluate AI models for real-world applications.
Yes, the machine learning course with certificate includes multiple hands-on exercises and a guided mini project. Learners apply theoretical concepts to real datasets, gaining exposure to tools like Matplotlib, Seaborn, and Scikit-learn.
The AI and Machine Learning certification course offers a comprehensive introduction to the data-to-decision process. It helps you master data handling, algorithm design, and model evaluation while strengthening your technical foundation for advanced learning.
Win in Life Academy currently offers the Certification in AI and Machine Learning (3 months) for beginners and the Advanced Diploma in AI and ML (6 months) for professionals seeking deeper specialization making both ideal AI and ML certification courses for different learner levels.
A certified machine learning course ensures that your learning outcomes meet established academic and industry benchmarks. Upon completion, you receive a recognized certificate that validates your competency in machine learning fundamentals and applied AI skills.
Our machine learning certification programs enable learners to understand model development, optimization, and evaluation. These skills empower professionals to automate decision-making processes and enhance data-driven productivity within their organizations.
The Professional Certificate in Machine Learning and Artificial Intelligence is designed to strengthen your technical and analytical skills in AI. It includes training in data handling, statistics, supervised and unsupervised learning, and mini project implementation.
This is among the best online courses for AI and ML due to its structured, mentor-led approach, practical projects, and industry-relevant curriculum. Learners gain real experience working with datasets and AI tools, setting a strong base for further specialization.
The Certification in AI and Machine Learning is a 3-month structured program with weekly guided sessions, practical labs, and project work designed to ensure steady, progressive learning. Accordion Content
No prior programming experience is required for the Certification in AI and Machine Learning. The course starts with the basics of Python and gradually builds toward machine learning applications. Accordion Content
The Certification in AI and Machine Learning is designed as a foundational program focused on skill development and conceptual understanding. It does not include placement support but prepares learners to confidently pursue advanced certifications and entry-level technical opportunities. Accordion Content
