Executive Diploma in Machine Learning and AI

The PG Executive Diploma* in AI and ML by IIIT Bangalore is a 13-month program that provides professionals with advanced skills to excel in the AI-driven world. With this program, you also gain the prestige of becoming an IIITB alumnus, a credential that stands out in the industry.

The Executive Diploma* in AI and ML by IIIT Bangalore is a 13-month program that provides professionals with advanced skills to excel in the AI-driven world. With this program, you also gain the prestige of becoming an IIITB alumnus, a credential that stands out in the industry.

This program in artificial intelligence and machine learning covers both foundational and advanced topics like natural language processing, neural networks, and reinforcement learning. With a hands-on approach, it ensures that you apply your knowledge to real-world challenges, preparing you for roles like AI Engineer and Machine Learning Specialist.

The flexible online format and expert mentorship make it ideal for working professionals from diverse fields, including data science, software development, and engineering. Graduates earn a highly regarded Executive Diploma in AI and ML from IIIT Bangalore, setting them apart in today’s competitive job market.

To connect theory and practice, there are more than 15+ real-world case studies and 6 capstone projects led by seasoned industry professionals. A sample of some of the case studies you will be working on is as follows:

• MLOps Project: Create a robust end-to-end pipeline for CodePro, focused on reducing customer acquisition costs. This project emphasizes automation and scalability, making it vital for optimizing machine learning workflows in business contexts.
• MLOps + Deployment: Deep Learning Case Study: Automate the conversion of free-text clinical notes into structured data for a health-tech startup. This project integrates experiment tracking, deployment, and monitoring to enhance healthcare analytics and reduce manual errors.
• ShopAssist Project: Build a Generative AI-powered shopping assistant chatbot using OpenAI tools. The project focuses on developing an interactive, efficient solution for personalized shopping experiences.
• SemanticSpotter Project: Create a Generative AI-powered search system using tools like LangChain or LlamaIndex. This system ensures precise responses to policy-related queries, improving accessibility and efficiency in document analysis.
• Mr.HelpMate AI Project: Develop a robust AI system capable of accurately answering policy document queries. This project uses advanced Generative AI techniques, enhancing decision-making processes and automating support systems.

Capstone Projects

• Credit Card Fraud Detection: This project focuses on developing a machine learning model to detect credit card fraud in imbalanced datasets, a critical challenge in the finance sector. By conducting a cost-benefit analysis, learners can identify financial benefits and insights, making it highly impactful for fraud prevention strategies.
• Computer Vision Modelling: Using a CNN-RNN deep learning architecture with attention mechanisms, this project enables learners to create models that can generate captions for image content. This application is transformative, especially for enhancing accessibility for visually impaired individuals, by providing verbal descriptions of images.
• Sales Forecasting: This project involves creating a sales forecasting model with vector autoregression techniques. By incorporating seasonal trends, promotions, and competition, learners optimize predictions, helping businesses improve inventory planning and store operations over a defined period.
• Healthcare Image Modelling: Learners design a GAN model to transform MRI images between T1 and T2 scans. This innovation aids in generating high-quality, realistic medical images, improving diagnostic accuracy, and offering multiple imaging perspectives from a single scan, crucial for healthcare advancements.
• News Recommendation: This project helps learners build a personalized news recommendation system that identifies user preferences and interactions. By focusing on engagement and accuracy through metrics like RMSE and precision, the model enhances user satisfaction and content relevance for digital platforms.
• Product Recommendation: Using sentiment analysis, this project develops a recommendation system tailored to user feedback. It incorporates Flask deployment for creating dynamic, scalable solutions, ensuring businesses can deliver more personalized shopping experiences.

1. Premier Institute with a Strong Legacy: Established in 1998, IIITB is known for its interdisciplinary approach, merging technology with social sciences. Supported by the Government of Karnataka and industry leaders, it fosters academic and industrial collaborations. The institute’s merit-based selection process ensures the brightest minds join its programs, strengthening its reputation for excellence.
2. Global Alumni Network: IIITB has graduated over 3,500 students, many of whom work in top global IT firms. Alumni hold key positions in leading companies, showcasing the institute’s ability to nurture industry-ready professionals. This strong network creates opportunities for mentorship and collaboration, benefiting current and future students.
3. Focus on AI and ML Research: Recognized as a leader in Artificial Intelligence and Machine Learning, IIITB prioritizes research and innovation in these fields. The institute's dedicated faculty and cutting-edge infrastructure create an environment conducive to groundbreaking studies, making it an ideal destination for AI and ML enthusiasts.
4. Ranked Among India’s Best: IIITB holds the 74th rank in the NIRF Engineering category (2024), a testament to its commitment to academic excellence and research quality. This ranking underscores its commitment to academic quality and makes it a premium destination for aspiring technologists.

Throughout this program, you will develop in-depth expertise in advanced AI and Machine Learning tools and technologies. These practical skills will empower you to excel in diverse roles, from building intelligent systems to solving complex business challenges, ensuring you’re well-prepared for success in today’s fast-evolving tech landscape.

Throughout this program, you will develop in-depth expertise in advanced AI and Machine Learning tools and technologies. These practical skills will empower you to excel in diverse roles, from building intelligent systems to solving complex business challenges, ensuring you’re well-prepared for success in today’s fast-evolving tech landscape.

Here’s what you’ll learn:

• Exploratory Data Analysis and Inferential Statistics: Master the techniques for uncovering patterns, relationships, and trends in data through EDA while applying inferential statistics to validate your findings. These techniques will enhance your ability to make informed, data-driven decisions.
• Machine Learning Models: Learn to develop robust predictive models, including linear regression, logistic regression, and random forests. These skills will help you solve complex problems, optimize systems, and build intelligent solutions.
• Neural Networks: Understand and implement various neural network architectures like CNNs and RNNs to process structured and unstructured data. These techniques will enable you to build advanced systems for image recognition, natural language understanding, and more.
• Natural Language Processing (NLP): Develop expertise in NLP techniques like lexical, syntactic, and semantic analysis to interpret text data. This will prepare you to build conversational AI, sentiment analysis systems, and other text-driven applications.
• Advanced Computer Vision Techniques: Explore cutting-edge methods such as object detection and semantic segmentation to analyze and interpret visual data. These skills will allow you to solve real-world problems in automation, surveillance, and image processing.

What Tools You’ll Master

Get hands-on experience with different programming languages and tools that you will use to build AI and models:

• Python: Develop a deep understanding of Python, the backbone of artificial intelligence and machine learning, for efficient data manipulation, analysis, and model building.
• SQL: Learn to query and manage databases with SQL, equipping you to handle large datasets and extract actionable insights effectively.
• Tableau and Power BI: Get skilled at using Tableau and Power BI. These tools allow you to create interactive dashboards and share complex data insights clearly with stakeholders.
• Hadoop: Explore Hadoop for managing and processing large-scale data, enabling scalable and distributed analytics solutions.
• MLflow and Airflow: Gain expertise in MLflow for tracking experiments and Airflow for automating workflows, empowering you to streamline and optimize machine learning processes.

OpenAI APIs, LangChain, and LlamaIndex: Use these modern tools to build advanced AI applications. They help you integrate natural language models and retrieval systems to solve challenging problems.

Balancing work and study can be challenging, but this program makes learning easily accessible. Online education is an excellent option for working professionals, as it allows you to enhance your skills from any location and provides seamless connectivity. Discover how online learning transforms convenience and flexibility.

Balancing work and study can be challenging, but this program makes learning easily accessible. Online education is an excellent option for working professionals, as it allows you to enhance your skills from any location and provides seamless connectivity. Discover how online learning transforms convenience and flexibility.

Cost-Effectiveness with Maximum Impact

Traditional education can often strain finances, but online programs present a cost-effective alternative that significantly reduces expenses. With these programs, students enjoy:

• Approximately 60% reduction in costs compared to traditional in-person educational settings.
• An average savings range from $10,000 to $15,000 per course, allowing for a greater investment in other life necessities.
• The elimination of additional expenses associated with commuting and accommodation, making education more accessible to everyone.

Flexibility Tailored for Working Professionals

Courses are designed keeping working professionals in mind, providing a level of flexibility that is hard to match:

• Students typically commit an average of 8 to 10 hours per week to their studies, allowing for a manageable balance between work, life, and education.
• Learners benefit from 24/7 access to a wealth of learning materials, enabling them to study at their convenience, regardless of time zones.

Learn from Industry Leaders

Online platforms transcend geographical limitations, offering students the privilege of learning from recognized experts:

• Online courses feature instructors affiliated with prestigious institutions, bringing credibility and expertise to the virtual classroom.
• Additionally, courses are taught by seasoned industry practitioners from top tech companies, providing insights directly from professionals who are shaping the field.