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Certificate in AI & ML Essentials: Foundation Course
Program Details
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
- Establish a strong grasp of key AI and ML principles, foundational algorithms, and the statistical logic that underpins intelligent decision-making systems.
- Gain hands-on experience in Python and essential data science libraries such as NumPy, Pandas, and Scikit-learn, developing the skills to build and test machine learning models.
- Learn to interpret data, design predictive models, and streamline analytical workflows that translate data insights into real-world solutions.
- Understand the ethical considerations of AI implementation and cultivate the ability to design, evaluate, and deploy models with fairness and accountability.
- Explore how AI and ML are driving transformation across industries such as healthcare, finance, manufacturing, and retail through automation, prediction, and optimization.
- Learn to apply analytical insights and model-driven intelligence to anticipate market trends, improve operational efficiency, and guide data-informed business strategies.
- Gain awareness of the ethical, legal, and compliance frameworks that shape the responsible use of AI and ML within diverse organizational environments.
- Work hands-on with authentic industry datasets to identify patterns, generate insights, and implement AI solutions that address practical business challenges.
- Acquire the capability to design, train, and deploy machine learning models that address real-world challenges and deliver measurable business value.
- Develop analytical precision to assess model outcomes, fine-tune parameters, and enhance efficiency for scalable, production-ready solutions.
- Explore modern frameworks and AutoML platforms to accelerate experimentation, simplify workflows, and drive faster innovation cycles.
- Stay current with evolving AI trends and emerging technologies, ensuring continuous learning and readiness for next-generation industry demands.
Advantages of Enrolling in Certificate in AI and ML
- 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
Python
NumPy
Pandas
Matplotlib
Seaborn
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 structured 3-month curriculum is designed to take you from the basics of Python programming and data handling to core statistical analysis and machine learning techniques. Spanning nine progressive modules, it blends theory with hands-on practice to guide you step by step toward building, testing, and evaluating complete AI and ML models using real-world datasets. . It's organized across ten modules to deliver a gradual and in-depth educational journey:
Python & Data Handling
Module 1
Python fundamentals (syntax, variables, loops, functions, OOP basics)
- Program and programming language
- Features of python, variables, data types
- If else, loops, for while
- Functions and modules
- OOPS basic, class, object, inheritance
- Exception handling
- List, tuple , dictionary,
- Hands On – program to find prime number, even numbers, use of functions and module
Highlights
Module 2
NumPy for arrays, Pandas for data frames, loading and manipulating data
- Introduction to NumPy and pandas
- 1d and 2d array in NumPy
- Numerical function of NumPy, mean, std, sum etc
- Pandas series and dataframe
- Reading CSV file from pandas, manipulation functions in pandas
- Hands On – Read real time dataset like titanic or iris, and apply pandas function like head(), tail(), describe(), info()
Highlights
Statistics & Core ML Concepts
Module 3
Statistics fundamentals (mean, median, mode, standard deviation, distributions)
- Statistics for AIML, descriptive and inferential statistics
- Measure of central tendency and measure of dispersion
- Normal and skewed distributions
- Missing value and its solution
- Hands On – apply function like mean, median mode on dataset, find and impute missing value
Highlights
Module 4
Probability concepts, hypothesis, intro to inferential statistics
- Probability
- Inferential statistics
- Hypothesis testing, null hypothesis, alternate hypothesis
- T test, ANOVA test
- Hands – On – T test and ANOVA test apply on real time dataset
Highlights
Module 5
Supervised learning (linear regression, basics of classification), evaluation metrics
- What is machine learning and its type
- Supervised and unsupervised
- Regression and classification algorithm
- Linear regression and its use
- KNN for classification
- Logistic regression
- Hands On – House price prediction using linear regression, heart disease prediction using Logistic regression and KNN and compare the model
Highlights
Unsupervised Learning & Mini Project
Module 6
Unsupervised learning (clustering problem, K-means algorithm)
- Unsupervised learning, and its type
- K means clustering with example
- Application of K means
- Hands – on – Cluster IRIS flower using K means
Highlights
Module 7
Data visualization tools (Matplotlib, Seaborn), EDA practice
- Matplotlib and seaborn
- Histogram, scatter plot, bar chart, using functions of matplotlib
- 3D graph plot using seaborn
- Exploratory data Analysis
- Hands on – create plots on real time dataset
Highlights
Module 8
Simple end-to-end ML project (prepare/train/test a model)
- Read the dataset, split on train and test
- Do some statistical analysis
- Train the model, test the model
- Use evaluation metrics
Highlights
Module 9
Final review, module quizzes or basic capstone mini project
- Reviews and quizzes
- Doubt clearance
- Evaluation of project
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. 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.
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
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.
