IIT Kanpur - Professional Certificate Course In Generative AI And Machine Learning 

IITK AIML - Program Induction

Commence your educational endeavor with our Generative AI and Machine Learning certificate course. Immerse yourself in a distinctive and comprehensive learning experience designed to delve into every facet of the generative AI and machine learning domain, providing you with the essential foundation required to launch your career ambitiously.

IITK AIML - Programming Refresher
Comprehensive grasp of procedural and OOP concepts
Installation of Python and IDE
Mastery in utilizing Jupyter Notebook
Implementation of identifiers, indentations, and comments
Identification of Python data types and operators
Understanding different types of Python loops
Exploration of variable scope within functions
Explanation and understanding of OOP characteristics

IITK AIML - Applied Data Science with Python
Introduction to data science and its practical applications
Grasp the essentials of NumPy
Investigation into array indexing and slicing techniques
Application of linear algebra principles in data analysis
Calculation of central tendency and dispersion measures
Explanation of null and alternative hypotheses
Exploration of various hypothesis testing methods including Z-test and T-test
Understanding the concept of ANOVA (Analysis of Variance)
Utilization of Pandas for data loading, indexing, reindexing, and merging
Data preparation, formatting, normalization, and standardization through data binning
Creation of graphical representations using Matplotlib, Seaborn, Plotly, and Bokeh

IITK AIML - Machine Learning
Investigate the machine learning pipeline and MLOps
Learn about supervised learning and its applications
Understand methods to identify and prevent overfitting and underfitting
Visualize variable linearity using correlation maps
Explore classification algorithms and their practical usage
Master various unsupervised learning techniques
Recognize suitable scenarios for unsupervised algorithms and types of clustering
Develop a recommendation engine using PyTorch

IITK AIML - Deep Learning with Keras and TensorFlow
Differentiate between deep learning and machine learning
Understand neural networks, including forward and backward propagation
Utilize TensorFlow 2 and Keras for model development
Enhance model performance and interpret results effectively
Explore convolutional neural networks (CNNs) and transfer learning for object detection
Learn about recurrent neural networks (RNNs) and autoencoders

IITK AIML - Essentials of GenAI, Prompt Engineering & ChatGPT
Cutting-edge knowledge: Explore generative AI, prompt engineering, and ChatGPT
Hands-on skills: Gain practical insights into real-world business applications
Effective GenAI utilization: Learn to apply Generative AI effectively in various scenarios
Master prompt engineering: Understand its importance in crafting customized outputs

IITK AIML - Advanced Generative AI
Transformers' significance in modern AI
Neural networks' suitability for generative tasks
Differentiate generative model types: VAEs, GANs, transformers, autoencoders
Appropriate scenarios for diverse generative AI models
Assess attention mechanisms' efficacy in generative tasks
Analyze GPT and BERT, contrasting their architectural goals in generative AI
Langchain and Workflow Design
Advanced Prompt Engineering Techniques
LLM Application Development
LLM Fine-Tuning and Customization
Benchmarking and Evaluation of LLM Capabilities

IITK AIML - Capstone

At the end of the Machine learning course, participants embark on a capstone project, where they get to put their newfound skills into action. With guidance from mentors, they tackle real industry challenges head-on. This project isn't just the final stretch of their learning journey; it's also a chance to show off their abilities to potential employers in a real-world context.

Electives:
IITK AIML - Academic Masterclass by IIT Kanpur

Engage in enlightening online interactive masterclasses led by distinguished faculty members from the esteemed institution of IIT Kanpur. These masterclasses provide invaluable insights into the latest advancements in technology and techniques across the expansive domains of Data Science, Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning. Through comprehensive discussions and presentations.

IITK AIML - ADL & Computer Vision
Attain a thorough understanding of computer vision
Develop expertise in complex neural network architectures
Learn image creation and manipulation techniques
Explore CNNs for essential image analysis
-Master object recognition and localization using CNNs
Apply OCR methods for document digitization
Gain insights into eXplainable AI (XAI) techniques
Efficiently deploy deep learning models

IITK AIML - NLP and Speech Recognition
Explore machine learning algorithms for natural language processing
Focus on comprehension, feature design, and generation
Learn automated speech recognition and conversion techniques
Develop voice assistance tools, including Alexa skills creation
Emphasize practical application and implementation

IITK AIML - Reinforcement Learning
Learn foundational principles of reinforcement learning (RL)
Explore various RL approaches using Python and TensorFlow
Apply RL techniques and algorithms for problem-solving
Gain practical experience in tackling RL challenges

IITK AIML - Microsoft Azure AI Fundamentals
Describe Artificial Intelligence workloads and considerations
 Describe fundamental principles of machine learning on Azure
 Describe features of computer vision workloads on Azure
 Describe features of Natural Language Processing (NLP) workloads on Azure
 Describe features of generative AI workloads on Azure