• Program duration

    6 months

  • Learning Format

    Self-Paced Learning

Why Join this Program

  • icons
    Earn an Advanced Accreditation

    Receive a certificate of program completion from E&ICT Academy, IIT Guwahati

    Receive a certificate of program completion from E&ICT Academy, IIT Guwahati

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    Master Industry Relevant Tools

    Gain expertise in ChatGPT, Gemini, Claude, Uizard, MIRO, Zapier, Julius.ai, Otter, Python, and more

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    Engage in Interactive Learning

    Attend interactive live sessions led by industry experts and masterclasses from IITG faculty

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    Experience hands-on Learning

    Get practical exposure via 145+ exercises & 13 projects with seamless access to integrated labs

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

Program Overview

This comprehensive program covers essential AI and ML topics, from foundational Python programming to advanced concepts in data science, machine learning, deep learning, NLP, and speech recognition. Through hands-on projects with integrated labs and expert-led instruction, you will gain the skills needed to solve real-world problems.

Key Features

  • Receive a program completion certificate from E&ICT Academy, IIT Guwahati
  • Experience a curriculum delivered in live virtual classes by seasoned industry experts
  • Gain exposure to advanced concepts in data science, machine learning, deep learning, NLP, speech recognition, and prompt engineering
  • Participate in interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
  • Earn the opportunity for 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
  • Engage in practical learning through 145+ hands-on exercises and 13 industry-oriented projects
  • Explore 15+ modern AI tools and packages, including ChatGPT, Gemini, Claude, TensorFlow, Keras and more

Post Graduate Program Advantage

This Applied AI ML program uses a structured learning approach combined with industry-relevant projects to help you advance your career in an AI-driven future. Develop the skills needed to address complex AI challenges and stay ahead.

  • Program Certificate

    E&ICT Academy, IIT Guwahati

    • Certificate issued directly by E&ICT Academy, IIT Guwahati, within 90 days of program completion
    • Academic masterclasses delivered by distinguished IIT Guwahati faculty

Program Details

Designed with precision, this program leads you through crucial programming concepts, hands-on data science, and cutting-edge AI applications. From solidifying Python basics to exploring advanced AI technologies, this program provides comprehensive learning to advance your career.

Learning Path

  • IG AIML: Program Induction

    Embark on a comprehensive learning adventure with our Applied AI and Machine Learning Executive Program. Delve into the essential concepts of AI and machine learning, equipping yourself with the knowledge and skills needed to launch your career in this dynamic field.

  • IG 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
  • IG 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
  • IG AIML: Machine Learning
    • Investigate the machine learning pipeline
    • 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
  • IG AIML: Deep Learning Specialization
    • Learn about distinctions between deep learning and machine learning
    • Understand neural networks, including forward and backward propagation
    • Utilize TensorFlow 2 and Keras for model deployment
    • 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
  • IG AIML: Essentials of Generative AI, 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
  • IG AIML: Capstone

    This will enable you to apply your newly acquired skills. With guidance from mentors, you will build confidence to tackle real-industry challenges. This project not only signifies the peak of your learning journey but also serves as an opportunity to showcase your capabilities to potential employers in a real-world setting.

Electives:
  • IG 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
  • IG AIML: Academic Masterclass
    • Attend an online interactive masterclass delivered by IIT Guwahati faculty
    • Gain insights about advancements in technology and techniques in AI and machine learning
    • Enhance your knowledge to stay at the forefront of innovation in the constantly evolving landscape of technology

Contact Us

1-844-532-7688

( Toll Free )

12+ Skills Covered

  • Python Programming
  • Data Manipulation
  • Data Visualization
  • Machine Learning Algorithms
  • Supervised Learning Techniques
  • Unsupervised Learning Techniques
  • Building and Optimizing Models
  • Designing and Implementing CNNs
  • Sequential Modeling Techniques
  • Prompt Engineering
  • Natural Language Processing NLP
  • Understanding GenAI Models

18+ Tools Covered

ChatGPTGeminiClaude3UizardZapierJulius.aiInvideo.aiOtter AIpythontensorflowkerasNLKTNumPyOpen CVScikitLearnMatPlotlibMIRODescript

Industry Projects

  • Project 1

    MLB Digital Platform Enhancement

    Develop a backend for MLB's digital platform to manage player statistics, match schedules, and ticket bookings, and implement a report generation system to enhance performance.

  • Project 2

    EdTech Backend System

    Create backend modules for SL Tech's edtech platform to manage learner credentials, courses, and improve the overall learning experience.

  • Project 3

    Sales Strategy Analysis

    Analyze AAL's sales data across different Australian states to identify high-revenue states and develop sales programs for underperforming states.

  • Project 4

    Marketing Strategies with Exploratory Data Analysis

    Conduct exploratory data analysis and hypothesis testing to understand factors contributing to customer acquisition and enhance marketing strategies.

  • Project 5

    Predicting Employee Attrition with Machine Learning

    Build a machine learning model to predict employee attrition by analyzing work habits and factors influencing their desire to stay with the company.

  • Project 6

    Song Classification with Cluster Analysis

    Perform cluster analysis to create personalized song playlists for users based on their listening behavior.

  • Project 7

    Home Loan Data Analysis

    Develop a deep learning model to predict the likelihood of loan defaults using historical data, ensuring a secure lending process.

  • Project 8

    Lending Club Loan Data Analysis

    Create a deep learning model to predict loan defaults using historical data, addressing an imbalanced dataset with numerous features.

  • Project 9

    ChatGPT Based Storytelling

    Design an interactive storytelling adventure using ChatGPT to create unique and engaging narratives without coding collaboratively.

  • Project 10

    Virtual Project Management Consultant

    Develop prompts for ChatGPT to function as a virtual project management consultant, providing advice on project planning, risk management, team collaboration, and performance.

  • Project 11

    Road Safety Analysis of Autopilot Feature

    Analyze accident data involving Tesla’s autopilot feature to assess the impact of autopilot technology on road safety.

  • Project 12

    AI Recommendation Engine for Marketing

    Use AI to understand the state of historical structures and recommend the best places to visit to tourists.

  • Project 13

    Predict the Demand and Sales of a Restaurant

    Predict demand for various items across restaurants using machine learning and deep learning algorithms to forecast sales over time.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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Program Advisors

  • Dr. Gaurav Trivedi

    Dr. Gaurav Trivedi

    Associate Professor, EEE and Principal Investigator, E&ICT Academy, IIT Guwahati

    With an M.Tech. in Microelectronics and a Ph.D. in Electrical Engineering from IIT Bombay, Dr. Gaurav Trivedi’s research spans circuit simulation, VLSI CAD, electronics system design, computer architecture, IoT, high-performance computing, large-scale optimization, and machine learning.

  • Prof. Koteswar Rao Jerripothula

    Prof. Koteswar Rao Jerripothula

    Assistant Professor, IIT Kanpur

    Prof. Rao holds a Ph.D. from NTU, Singapore, with research interests in Computer Vision, AI, Machine Learning, Multimedia, and Signal Processing. Many of his works have been published in leading venues like CVPR, ICCV, ECCV, and WACV.

  • Amitendra Srivastava

    Amitendra Srivastava

    Chief Data Scientist at Intelytica

    Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.

  • Raghav Goel

    Raghav Goel

    Generative AI & Data Science Consultant

    A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

  • Ankit Virmani

    Ankit Virmani

    Data & ML Leader at Google

    Ankit is an ethical AI and data engineering enthusiast with 10+ years of experience at firms like Google, Amazon, and Deloitte. He serves as a member of the Forbes Technology Council, IU's Institute of Business Analytics, and AI 2030.

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Industry Trends

As IT buyers plan to boost spending on AI, cloud, and analytics, India's AI sector is poised for robust growth.

Job Icon$17 billion

Projected value of India's AI market by 2027, growing at 25-35% CAGR

Source: BCG
Job Icon67%

YoY growth of AI engineer positions in India

Source: BCG
Job Icon₹13,50,000

The average annual salary of an AI/ML engineer in India

Source: Glassdoor

Batch Profile

Our diverse cohorts foster engaging classroom experiences. This Applied AI ML program is tailored to meet the needs of professionals from a variety of industries and backgrounds

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 35%Software Product - 29%E commerce - 9%BFSI - 15%Others - 12%
    Companies
    Netflix
    Amazon
    Nvidia
    IBM
    Infosys
    Tata Consultancy Services
    Microsoft
    LinkedIn
    OpenAI
    Google
    Deloitte
    Accenture

Admission Details

Application Process

The application process consists of 3 simple steps. Upon selection, candidates will receive an offer of admission, which they can secure by remitting the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this certification

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can join the program by paying the admission fee

Eligibility Criteria

For admission to this Applied AI and Machine Learning program, candidates should have:

A bachelor's degree with an average of 50% or higher marks
Basic understanding of mathematics and programming concepts
Preferably, 2+ years of formal work experience

Apply Now

Program Benefits

  • Program certificate from E&ICT Academy, IIT Guwahati
  • Practical exposure through 145+ exercises & 13 projects.
  • Academic masterclasses delivered by IIT Guwahati faculty
  • Exposure to 15+ modern AI tools and packages
  • Executive Alumni Status from E&ICT Academy, IIT Guwahati

FAQs

  • What is covered in the Professional Certificate in Applied AI and Machine Learning?

    You'll immerse yourself in AI and machine learning, building a solid foundation from the ground up. This meticulously designed curriculum goes beyond the basics, delving into advanced topics such as deep learning, natural language processing, computer vision, and predictive analytics. Best of all, you won't just learn the theory; you'll engage in hands-on projects within integrated labs, applying your skills to real-world scenarios. By the end of the program, you'll be well-prepared to launch your career in AI and ML with confidence and expertise

  • How long will it take to complete the Professional Certificate in Applied AI and Machine Learning?

    The anticipated time to complete the Professional Certificate in Applied AI and Machine Learning is 6 months.

  • Who should enroll in the Applied AI and Machine Learning program?

    Professionals eager to develop AI and ML expertise with the objective of:

    • Improving performance in their current role

    • Transitioning to AI and ML roles in their organization

    • Seeking to advance their career in the industry

    • Empowering entrepreneurial aspirations

  • What is the eligibility criteria for enrolling in the Professional Certificate in Applied AI and Machine Learning?

    For admission to this program, candidates should have:

    • A bachelor's degree with an average of 50 percent or higher marks

    • Prior knowledge or experience in programming and mathematics

    • Preferably, 2+ years of formal work experience

Related Programs

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.