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Enhance Your Intelligence with

ARTIFICIAL INTELLIGENCE

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Industry Elective Certification - Data Science: AI/ML & Analytics

  • Learn from the Industry Expert & AI Guru
  • Insights into the AI/ML industry
  • Design use cases of AI across industries
  • Advanced concepts - Quantum Computing, Deep Learning, LLM
  • Practitioner-oriented course with real-life use cases

Industry-leading Data & Quantum Scientist, AI/ML & Deep Learning Specialist, Gartner Peer & AI Global Ambassador.

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Alliance with LEADING GLOBAL CORPORATES

Deloitte
accenture
TCS
Tech Mahindra
Siemens
Rev Infotech
EY
IBM
Tata Elxsi
Infosys
Emerging Technology
global sports
  • Blended Training Approach
  • 3 Months (+ 3 Months Internship)
  • Capstone Project Development
  • Placement Assistance
  • Interactive Mentoring Sessions
  • Certification of Completion

At IntellAI, we pride ourselves on delivering technology services that truly set us apart from the competition. One of our distinguishing factors is our unwavering commitment to staying ahead of the curve in the rapidly evolving technology landscape. We are dedicated to research and development, constantly exploring emerging technologies and innovations to offer cutting-edge solutions to our clients. By staying up-to-date with the latest advancements, we can address the unique challenges faced by businesses in today's digital age and help them gain a competitive edge in their respective markets.

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Program Overview

Take your career to new heights in the dynamic world of Data Science with 3.0 University’s cutting-edge Industry Elective Certification Data Science Course Online, specializing in AI/ML & Analytics.

This comprehensive Data Science online course with certificate delves deep into the transformative world of Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics. Through a blend of theoretical knowledge and practical application, you'll gain the expertise to extract meaningful insights from vast datasets, solve complex problems, and drive informed decision-making within your industry.

What you'll Learn

  • Foundational Data Science: Master the core concepts of Data Science, including Data Wrangling, Manipulation, and Analysis using industry-standard tools like Python and R.
  • AI & Machine Learning Essentials: Explore the exciting realm of AI and ML, gaining a solid understanding of supervised, unsupervised, and reinforcement learning algorithms. 
  • Advanced Analytics Techniques: Equip yourself with advanced analytical techniques like Regression, Classification, Clustering, and Dimensionality Reduction to uncover hidden patterns and trends in your data.
  • Real-world Applications: Put your learnings into practice through industry-relevant case studies and projects, tackling real-world challenges across various domains.

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    Learning Outcome

    Our program is ideal for students, professionals, business leaders, and enthusiasts who aim to gain a robust understanding of AI/ML, regardless of their prior experience in the field. Spread over several modules, each focusing on key aspects of AI/ML, the program offers flexible learning options to accommodate the busy schedules of working professionals.

    • Gain a solid foundation in AI/ML concepts.
    • Understand how to apply AI/ML in various business contexts.
    • Master the stages of the Data Science Lifecycle for effective implementation of AI projects.
    • Acquire knowledge about Big Data Technologies and their integration with AI/ML solutions.

    Why Choose Our Program

    Industry-centric Knowledge

    Practical Application

    Networking Opportunities

    Expert Instructor

    Be Job Ready

    Python
    Gemini
    Pandas
    ChatGPT
    SckitLearn
    Hugging Face
    PyTorch
    Numpy

    Course Curriculum

    Understanding AI/ML

    Business Context of AI/ML

    Data Science Lifecycle

    Data Exosystem, Big Data & Analytics

    Identifying AI Use Cases

    Machine Learning

    Deep Learning and Neural Networks

    Natural Language Processing (NLP)

    Evaluating AI/ML Solutions

    AI in Customer Service

    AI in Banking & Finance

    AI for Cyber Security

    AI in Manufacturing (Industry 4.0)

    AI and the Future of Work

    Generative AI

    Introduction to ChatGPT BARD, Hugging Face Models

    AI and IoT

    AI and Sustainability

    Practical Use cases Development 

    Program Fees

    Corporate Discount for Working Professionals

    Scholarship for Students

    Attractive EMI Facilities Available

    Program Fees

    ₹60,000/-

    (Inclusive of all Applicable Taxes)

    Reserve Your Seat

    No prior coding/programming experience

    Individuals passionate about data and AI/ML & its applications

    Undergraduates / Graduates interested in pursuing career in AI

    Professionals transitioning into Data Science

    Working professionals looking to upskill

    Hurry! This offer is exclusively valid only for the first 30 applications until 26th Feb.

    Invest in Your Future with 3.0 University:

    By enrolling in our Industry Elective Data Science course, you're making a strategic investment in your professional development.
    Apply now to learn more about our Data Science certification course and take the first step towards a rewarding future.

    Evolution of Blockchain (7)

    Industry Perspective

    • Machine Learning Engineer
    • Data Scientist
    • AI Research Scientist
    • Robotics Engineer
    • AI Ethicist
    • Business Intelligence Developer
    • By 2030, there will be a 31.4% increase in jobs related to data science and mathematical science, mostly AI-based.
    • The machine learning job market is projected to be worth $31 billion by 2024, with an annual growth rate of 40% over the last six years.
    • The field of artificial intelligence has been gaining massive traction due to the massive change in business operations, fast-paced technological advancement, and the trend is only going to grow further in the coming years.
    • The application of AI and related technology has, to a significant extent, transformed many areas of the industry by making them more efficient and effective.
    • Generative AI’s impact on productivity could add trillions of dollars in value to the global economy, equivalent to $2.6 trillion to $4.4 trillion annually from 63 use-cases.
    • Generative AI would add 15 to 40 percent to the $11 trillion to $17.7 trillion of economic value that non-generative AI and analytics could unlock.
    • About 75 percent of the value that Generative AI use cases could deliver falls across four areas: Customer Operations, Marketing & Sales, Software Engineering, and R&D.
    • Generative AI could increase sales productivity by 3 to 5 percent of current global sales expenditures.
    • Generative AI has the potential to change the anatomy of work, augmenting the capabilities of individual workers by automating some of their individual activities.
    • The pace of workforce transformation is likely to accelerate, given increases in the potential for technical automation. Half of today’s work activities could be automated between 2030 and 2060, with a midpoint in 2045, or roughly a decade earlier than in previous estimates.
    • Generative AI can substantially increase labor productivity across the economy, but that will require investments to support workers as they shift work activities or change jobs.
    • Analysis of several hundred AI use cases found that the most advanced deep learning techniques deploying artificial neural networks could account for as much as $3.5 trillion to $5.8 trillion in annual value, or 40 percent of the value created by all analytics techniques.
    • The global artificial intelligence (AI) market size was valued at USD 69.25 billion in 2022 and is expected to hit around USD 1,871.2 billion by 2032, progressing with a CAGR of 39.1% from 2023 to 2032. The North America artificial intelligence market was valued at USD 30 billion in 2022.
    • Generative AI is poised to revolutionize how we work, live, and interact. It’s clear that we are now at a tipping point. Generative AI will change business models and how work gets done and, in the process, reinvent entire industries. AI could contribute up to $15.7 trillion to the global economy in 2030. And it will also allow us to build trust and deliver sustained outcomes for clients and stakeholders.
    • The year 2025 will see 2 million new jobs generated by AI and ML.
    • India’s artificial intelligence (AI) market is expected to witness a growth of 20% over the next five years. India is among the top three talent markets, producing 16% of the world’s AI talent pool.
    • Breakthroughs in generative artificial intelligence have the potential to bring about sweeping changes to the global economy. As tools using advances in natural language processing work their way into businesses and society, they could drive a 7% (or almost $7 trillion) increase in global GDP and lift productivity growth by 1.5 percentage points over a 10-year period.
    • Generative AI’s impact on productivity could add trillions of dollars in value to the global economy, equivalent to $2.6 trillion to $4.4 trillion annually from 63 use-cases.
    • Generative AI would add 15 to 40 percent to the $11 trillion to $17.7 trillion of economic value that non-generative AI and analytics could unlock.
    • About 75 percent of the value that Generative AI use cases could deliver falls across four areas: Customer Operations, Marketing & Sales, Software Engineering, and R&D.
    • Generative AI could increase sales productivity by 3 to 5 percent of current global sales expenditures.
    • Generative AI has the potential to change the anatomy of work, augmenting the capabilities of individual workers by automating some of their individual activities.
    • The pace of workforce transformation is likely to accelerate, given increases in the potential for technical automation. Half of today’s work activities could be automated between 2030 and 2060, with a midpoint in 2045, or roughly a decade earlier than in previous estimates.
    • Generative AI can substantially increase labor productivity across the economy, but that will require investments to support workers as they shift work activities or change jobs.
    • Analysis of several hundred AI use cases found that the most advanced deep learning techniques deploying artificial neural networks could account for as much as $3.5 trillion to $5.8 trillion in annual value, or 40 percent of the value created by all analytics techniques.
    • The global artificial intelligence (AI) market size was valued at USD 69.25 billion in 2022 and is expected to hit around USD 1,871.2 billion by 2032, progressing with a CAGR of 39.1% from 2023 to 2032. The North America artificial intelligence market was valued at USD 30 billion in 2022.
    • Generative AI is poised to revolutionize how we work, live, and interact. It’s clear that we are now at a tipping point. Generative AI will change business models and how work gets done and, in the process, reinvent entire industries. AI could contribute up to $15.7 trillion to the global economy in 2030. And it will also allow us to build trust and deliver sustained outcomes for clients and stakeholders.
    • The year 2025 will see 2 million new jobs generated by AI and ML.
    • India’s artificial intelligence (AI) market is expected to witness a growth of 20% over the next five years. India is among the top three talent markets, producing 16% of the world’s AI talent pool.
    • Breakthroughs in generative artificial intelligence have the potential to bring about sweeping changes to the global economy. As tools using advances in natural language processing work their way into businesses and society, they could drive a 7% (or almost $7 trillion) increase in global GDP and lift productivity growth by 1.5 percentage points over a 10-year period.