MAA Academy

Welcome to the Industry-Ready Certification AI & ML Program:
Bridging Theory and Practical Mastery in the  World of Intelligent Solutions

In an era where technological advancements are unfolding at an unprecedented pace, the realm of industries is undergoing a metamorphosis.

In this transformative landscape, our Industry-Ready Certification AI & ML Program emerges as the definitive gateway, guiding you to master the intricate art and exacting science of Artificial Intelligence (AI) and Machine Learning (ML).

Through an engaging and comprehensive curriculum, meticulously crafted, we invite you to immerse yourself in an educational experience that traverses the theoretical foundations and the hands-on application, ultimately preparing you to shape the future with intelligence.

Course Fees: Rs. 1,39,000 (incl. of GST)

Course Highlights

Build Real-World Skills

Work on live projects & capstone challenges that mirror industry scenarios.

Learn from the Best

Train under AI/ML experts with 20+ years of hands-on experience.

Master 25+ Cutting-Edge Tools

Become fluent in the essential AI & ML toolkit.​

Hands-On, No Fluff!

Experience immersive, practical learning that prepares you for the real world.

Get Your Doubts Cleared, Instantly!

Personalized one-on-one mentoring for complete clarity.​

Turn Learning Into Opportunity!

Exclusive internships to gain industry exposure and real-world experience.

About the Program

A Holistic Learning Expedition

Our Industry-Ready AI & ML Program is not just an academic pursuit; it’s a journey designed to -encompass the breadth and depth of AI and ML domains. This meticulously designed program weaves together the strands of theoretical understanding and practical acumen. It’s not enough to grasp the concepts; you will delve into the practical nuances, transforming theory into functional tools that can drive tangible outcomes.

The Nexus of Knowledge and Implementation

At the core of our program lies a dual commitment: equipping you with the theoretical foundations that underpin decision-making in AI and ML, and empowering you with the practical dexterity to architect solutions that have real-world impact. This isn’t a mere sequence of lessons; it’s a carefully woven tapestry that intertwines foundational knowledge with experiential learning. Our goal is for you to emerge not only well-versed in AI and ML concepts but also adept at translating these ideas into actionable solutions that can address real challenges.

Need to know more?

Thinking robot

A Glimpse into Your Learning Odyssey

Building the Pillars of Understanding

Foundational Mathematics & Statistics

Your journey begins with an exploration of the mathematical bedrock that supports AI and ML. From probability to linear algebra, you'll gain insights into the mathematical machinery that underlies data-driven insights.

Programming Refresher

Regardless of your coding background, this module ensures everyone is well-prepared. Dive into algorithms, data structures, and programming paradigms to set a strong foundation.

Python Bootcamp

Python, the lingua franca of AI and ML, is demystified. You’ll gain both language proficiency and the ability to navigate the environment - an essential skill for data scientists.

Data Science with Python

Data Science with Python empowers you to analyze data, uncover insights, andbuild intelligent solutions using Python’s powerful libraries. Master datamanipulation, visualization, and machine learning to solve real-world challenges!

Interactive Learning Beyond Conventions

This program is designed to transcend conventional learning. Engage in live, interactive sessions led by seasoned subject matter experts. This real-time interaction allows you to dive deeper, ask questions, discuss case studies, and gain insights that extend beyond the boundaries of traditional learning.

Unleashing Practical Application

Applied AI & ML

Embark on applying AI and ML across various departments. Dive into real-time data intricacies, APIs, and the 3Vs – Volume, Velocity, and Variety – that define modern data landscapes.

Deep Learning & Advanced Techniques

Dive into cutting-edge neural networks, transforming AI with powerful models like CNNs, RNNs, andTransformers. Master advanced techniques to build intelligent systems that push the boundaries of innovation!

What makes us stand out?

Key Features of the Program

Interactive Learning and
Practical Application

Live Interactive Sessions with Experts: Engage in real-time sessions with subject matter experts, enabling in-depth discussions and immersive learning. Hands-On Practical Sessions: Gain practical experience through comprehensive hands-on sessions with tools like TensorFlow and PyTorch.

Comprehensive Curriculum
with Real-World Relevance

Real world case studies and Projects: Reinforce learning through practical casestudies and projects that simulate real-world scenarios.

Theoretical Foundations &
Practical Application

Immerse in both theoretical understanding and hands-on application to become a well-rounded AI and ML practitioner.

In-Depth Exposure to AI Concepts

Essential AI Concepts: Delve into a wide range of AI topics including Machine Learning, NLP, computer vision, and deep learning techniques.

Ethical AI Considerations

Ethics and Best Practices: Explore the ethical dimensions of AI model development and deployment, aligning AI advancements with responsible practices.

Industry Preparedness

Industry-Specific Tools: Acquire skills in industry-relevant tools like Power BI and web scraping, positioning yourself for a competitive edge.

Deployment Strategies and
Monitoring

Learn deployment strategies and monitoring
techniques to ensure AI models operate effectively.

Transformative Learning
Experience

Live Online Classes: Engage in interactive live sessions, offering direct access to experts and facilitating real-time learning.

Practical Skill Application

The program focuses on practical application, ensuring you can confidently implement AI and ML solutions.

AI & ML GPT: AI-Powered Support System – Your 24/7 AI Mentor!

As part of our learning ecosystem, MAA Academy has developed a custom GPT assistant to support your learning:

  • Round-the-clock assistance – Ask questions anytime and get AI-driven explanations.
  • Concept summaries & code walkthroughs – Get concise breakdowns of AI topics.
  • Interactive coding support – Debug errors, get suggestions, and improve your code.
  • AI-powered quizzes & learning recommendations – Reinforce learning with personalized study resources.

Support System & Mentorship

At MAA Academy, we are committed to providing unparalleled support to ensure your success in mastering AI. Our learning model is designed to offer real-time assistance, personalized mentorship, and an AI-powered support system. We understand that learning AI can be complex, so we provide:

  • Instant doubt resolution via dedicated mentors & trainers.
  • Live Q&A during instructor-led sessions for concept clarity.

What will your journey be?

Learning Roadmap

Module 1: Foundational AI ML - Python for Data Science
  1. Acquire proficiency in Python programming, including libraries like NumPy, pandas, and BeautifulSoup.
  1. Develop skills in web scraping and API usage for data retrieval.
  2. Perform data analysis and demonstrate the ability to communicate findings.
Module 2: Data Preprocessing & Big Data
  1. Understand the concepts of big data and the 3V’s (Volume, Velocity, Variety).
  2. Learn to handle real-time data streams and perform data cleaning and encoding.
  3. Apply data preprocessing skills to real-world datasets.
Module 3: Statistics & EDA (Exploratory Data Analysis)
  1. Differentiate between descriptive and inferential statistics.
  2. Conduct hypothesis testing and effectively communicate statistical results.
  3. Apply various visualization techniques to explore and communicate data insights.
  4. Analyze real-world data using statistics and EDA.
Module 4: Machine Learning Fundamentals
  1. Gain proficiency in regression and classification models.
  2. Learn model selection techniques and evaluate model performance.
  3. Apply machine learning concepts to real-world prediction tasks.
Module 5: Advanced Regression & Support Vector Machines (SVM)
  1. Explore advanced regression techniques and support vector machines (SVM).
  2. Build and evaluate machine learning models for image classification.
  3. Apply regression and SVM to solve real-world problems.
Module 6: Unsupervised Learning
  1. Master clustering techniques and feature engineering.
  2. Segment a market using unsupervised learning techniques.
  3. Apply unsupervised learning to real-world data.
Module 7: Natural Language Processing (NLP)
  1. Understand lexical, syntactic, and semantic processing in NLP.
  2. Work with pre-trained language models.
  3. Conduct sentiment analysis on social media data.
  4. Apply NLP techniques to real-world text data.
Module 8: Intro to Deep Learning & Artificial Intelligence
  1. Explore neural network architectures and Convolutional Neural Networks (CNNs).
  2. Build deep learning models for digit recognition.
  3. Discuss advanced AI concepts in class.
Module 9: Advanced Deep Learning & Generative Models
  1. Dive into advanced deep learning concepts, including RNNs, GANs, and transfer learning.
  1. Apply advanced deep learning techniques to gesture recognition.
  2. Collaboratively present group projects.
Module 10: Classical Reinforcement Learning
  1. Understand classical reinforcement learning techniques like Q-Learning and Markov Decision Processes.
  1. Apply reinforcement learning to game simulation.
  2. Solve reinforcement learning problems through assignments and quizzes.
Module 11: Deep Reinforcement Learning in AI
  1. Explore deep reinforcement learning techniques, including DQN and advanced gradient methods.
  1. Apply deep reinforcement learning to robot navigation.
  2. Assess your understanding through assignments and tests.
Module 12: Introduction to Agentic AI
  1. Understand Agentic AI fundamentals and how it differs from reactive systems.
  2. Build autonomous agents using LLMs, tools, memory, and decision-making.
  3. Apply frameworks like LangChain, Crew AI, and PhiData to real-world applications.
Module 13: Capstone Project: AI in Action – Build, Present, Solve.
  1. Apply the complete data science workflow to real-world industry problems.
  2. Collaborate on a capstone project related to a specific industry challenge.
  3. Present your project and provide a comprehensive report.
  4. Bring Your Own Project (BYOP): You get the chance to bring your own project, and we’ll be there to guide, mentor, and support you every step of the way!
Electives

Elective A: Big Data Engineering

  1. Understand distributed computing and its role in handling big data.
  2. Assess your knowledge through assignments and quizzes.

 

Elective B: Cloud Computing for AI

  1. Deploy machine learning models in cloud environments.
  2. Assess your knowledge through assignments and quizzes.

These learning outcomes demonstrate the skills and knowledge you will gain as you progress through each module of the AI & ML program, ensuring a well-rounded understanding of artificial intelligence and machine learning concepts and their practical applications.

What benefits will you unlock?

Program Outcomes

Overall, completing this AI & ML program will empower learners with a comprehensive skill set, enabling them to drive innovation, make informed decisions, and contribute effectively to the field of Artificial Intelligence and Machine Learning across various industries.

What tools will you master?

Tools Covered

Our Alumni in Top Companies

What Our Learners Have To Say

Are you ready to start your own AI Journey?
Let’s build something amazing!

Connect with Us

Get a call back