Artificial Intelligence Engineering Course

Learn Artificial Intelligence, the practical way to power your own AI applications!

4k+ rating
  • 500 Hours
  • 46 Classes
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  • Courses details
  • artificial-intelligence-engineering
  • Upcoming batches
    • 18Jun

      Noida

    • 02Jul

      Bangalore

    • 09Jul

      Gurgaon

    Learning Modes
    class

    Fully Interactive Online/
    Offline Classroom

    INR 52000*/-
    play

    Self-Paced Blended
    eLearning

    INR 40000*/-
    Courses
    Course
    ₹ 20000*/-

    Data Science With Python

    • 130 hours
    • 20 Classes
    • Classroom
    • Online
    • eLearning
    Courses
    Course
    ₹ 20000*/-

    Machine Learning Course

    • 110 hours
    • 16 Classes
    • Classroom
    • Online
    • eLearning
    Courses
    Course
    ₹ 25000*/-

    Certified Big Data Engineer

    • 210 hours
    • 30 Classes
    • Classroom
    • Online
    • eLearning
    date2

    No of classes X Hours

    46 x 3 = 138 hrs
    + 74 hrs e-learning

    study

    Self Study Hours

    260 (8-10 hrs/ week)

    18

    Assignments & Projects
    recruitment

    Placement Readiness Program

    40 Hours
    (towards course completion)

    What started as a part of the science fiction narrative in the earlier decade is now transforming the future. Remember Sonny in iRobot or voice assistant in Star Trek? AI is fast becoming an integral part of a business disrupting the legacy models. Not just industrial or manufacturing, we have also seen AI being used in the stock market to have high-frequency trading.  That’s how far-reaching the impact is. AI has found its way into many areas and is becoming a norm, contrary to the belief that it used to be complex. The world of engineering is heavily changing with AI, and that demands a workforce that upskills quickly to meet the increasing needs. 

    We bring you a powerful pedagogy of world-class experts to help you learn and adapt to the ever-evolving world of AI. We combine learning tools alongside a hands-on approach to make you industry-ready. We are humbled to state that our course is one of the best artificial intelligence and machine learning courses in India. Spend no less than 210 hours on one of the most practical and best artificial intelligence courses. Our course will help you take a deep dive into deep learning and launch your career as an Artificial Intelligence engineer.

    This is a 138-hour workshop via Live Classroom / Online for folks looking for an artificial intelligence course in India. The assessment and engagement methodology is through intensive assignments, case studies, and an interactive session with trivia and quizzes.

    Artificial Intelligence and machine learning courses in India are well-suited for IT professionals pursuing AI and machine learning engineer roles. Artificial Intelligence Engineer or Machine Learning Engineer job role. Aspiring Data Scientists should checkout out Full Stack Applied AI Course.

    AnalytixLabs is voted as the best institute for Artificial Intelligence and Machine Learning courses in India. We are widely popular for our artificial intelligence training in Gurgaon ,Noida ,Bangalore and other locations in India. Our fee structure is highly competitive, with a high ROI. We understand the importance of subject matters, and our experts agree too with us. This is why we have been able to design a compact and yet power-packed program.

    A complete industry relevant Big Data Science training and a great blend of Advanced Analytics and Big Data Engineering, making it quite apt for aspirants who want to develop Machine Learning & Big Data skills and have a head-start in Big Data Science!

    In this program you begin by learning Python for Data Science, including descpritive and statsical preditive modelling. The next module is focussed on supervised an unsupervised machine learning. Last course in this learning track is focussed on Big Data Engineering and Analytics skills, with latest and wisely used components of Hadoop ecosystem, No-SQL and cloud computing.

    • Building Blocks
        • Introduction to Bridge Course & Analytics Software’s 
        • Basic Excel
        • RDBMS & SQL (Basics)
        • Introduction to Analytics & Data Science
        • Basic Programming Elements
        • Introduction to Basic Statistics
        • Introduction to Mathematical Foundations
    • Data Analytics with Excel
        • Quick Recap of Basics of Excel
        • Data manipulation using functions         
        • Data analysis and reporting       
        • Data Visualization in Excel 
        • Overview of Dashboards 
        • Create dashboards in Excel - Using Pivot controls 
        • Business Dashboard Creation 
    • Data Analytics with SQL
        • Quick Recap of RDBMS & Basic SQL
        • Data based objects creation (DDL Commands)
        • Data manipulation (DML Commands)    
        • Accessing data from Multiple Tables using SELECT    
        • Advanced SQL    
        • Apply learning's on Business Case study    
    • Data Visualization and Analytics with PowerBi
        • Getting Started
        • Data handling & summaries
        • Building Advanced Reports/ Maps
        • Calculated Fields
        • Table calculations
        • Parameters
        • Building Interactive Dashboards
        • Building Stories
        • Working with Data
        • Sharing work with others
    • Data Analytics using VBA (e-learning)
          • Introducing VBA
          • How VBA Works with Excel
          • Key Components of  Programming  language
          • A look at some commonly used code snippets
          • Programming constructs in VBA
          • Functions & Procedures in VBA – Modularizing your programs
          • Objects & Memory Management in VBA
          • Error Handling
          • Controlling accessibility of your code – Access specifiers
          • Code Reusability – Adding references and components to your code
          • Communicating with Your Users 
    • R for Data Science (Optional e-learning)
        • Data Importing/Exporting
        • Data Manipulation
        • Data Analysis
        • Using R with databases
        • Data Visualization with R
        • Introduction to Statistics
        • Introduction to Predictive Modeling
        • Supervised Learning: Regression problems using OLS Regression
        • Supervised Learning: Classification problems using Logistic Regression
        • Introduction to Machine Learning
        • Supervised Learning: Regression problems
        • Supervised Learning: Classification problems
        • Unsupervised Learning - Segmentation
        • Time Series Forecasting
    • Python for Data Science
        • Python Essentials (Core)
        • Operations with NumPy (Numerical Python)
        • Overview of Pandas
        • Cleansing Data with Python
        • Data Analysis using Python
        • Data Visualization with Python
        • Basic Visualization Tools
        • Statistical Methods & Hypothesis Testing
    • R for Data Science (Optional e-learning)
    • Python for Data Science
        • Python Essentials (Core)
        • Operations with NumPy (Numerical Python)
        • Overview of Pandas
        • Cleansing Data with Python
        • Data Analysis using Python
        • Data Visualization with Python
        • Basic Visualization Tools
        • Statistical Methods & Hypothesis Testing
    • R for Data Science (Optional e-learning)
    • Python for Data Science
        • Python Essentials (Core)
        • Operations with NumPy (Numerical Python)
        • Overview of Pandas
        • Cleansing Data with Python
        • Data Analysis using Python
        • Data Visualization with Python
        • Basic Visualization Tools
        • Statistical Methods & Hypothesis Testing
    • R for Data Science (Optional e-learning)
    • Python for Data Science
        • Python Essentials (Core)
        • Operations with NumPy (Numerical Python)
        • Overview of Pandas
        • Cleansing Data with Python
        • Data Analysis using Python
        • Data Visualization with Python
        • Basic Visualization Tools
        • Statistical Methods & Hypothesis Testing

    IT/ ITES, Software developers, Database professionals, or engineering graduates interested in pursuing a career in Artificial Intelligence or Machine Learning Engineering role.

      • AI Specialist
      • AI ML Specialist
      • Big Data Engineer
      • AI Engineer
      • Big Data Consultant
      • Machine Learning Specialist
      • Spark Streaming
      • Deep Learning Modelling for AI applications
      • Python & Spark for Advanced Analytics
      • Text Mining & NLP
      • AI on Cloud
      • Supervised Learning Models
      • Big Data Engineering
      • Unsupervised Learning Models
      • Scalable ML on Spark
      • Large Scale Analytics on Cloud

      In addition to multiple case studies used for class sessions, course includes following assignments and projects for self-study and hands-on skills.

      Assignments
      • 1 Assignment on basic Python
      • 3 Basic exercises ( Excel, SQL & Tableau)
      • 4 case studies on Pandas for data munging, descriptive & visual analysis
      • 10 short exercises on NumPy & Pandas
      • 2 exercises for statistical analysis
      • 3 Exercises on Hadoop ecosystem
      • 3 MongoDB exercises
      Projects
      • Predicting credit card spend (Regression Methods)
      • Telcom churn prediction (Classification & Machine Learning)
      • Network intrusion detection (Supervised Machine learning)
      • Bank reviews analysis (Text mining & NLP)
      • Ecommerce recommendation engine (MBA)
      • Online job posting analysis (Text mining & NLP)
      • Banking customer clustering (Unsupervised Machine Learning)
      • Retail chain sales forecasting (Multivariate Time Series)
      • Analysing HVAC (IOT) data (Hadoop Ecosystem)
      • Analysing lending club data (Hadoop Ecosystem)
      • Predicting customer Churn (Spark)
      • Analyzing Mobile App Data (Spark)
      • Analysing online retail data (Hadoop Ecosystem)
      • Store Sales Prediction (Spark)
      • SQL DB Creation (Cloud)
      • Cosmos DB Project (Cloud)
      • ML Studio Project (Cloud)
      play
      Self-paced eLearning

      Learn through ondemand e-learning video session available in you learning management system. Along with extensive doubts support over mail/ online/ in-person.

      bootcamp
      Classroom & Bootcamp

      Experiential learning with in-person mentorship, also available in weekend and weekday classroom bootcamps.

      live
      Interactive Live online

      Our expert instructors led live online sessions, attend it from any location conveniently. These are fully interactive sessions for real-timediscussions, question/ answers.

      • Owing to our well established domain expertise and prestigious clientele in India and overseas, AnalytixLabs certification is highly regarded in the industry. Being India’s top ranked Data Science institute it is imperative that we uphold the sanctity of our certification process.
      • You shall be awarded a certificate only post the submission and fair evaluation of mandatory project work, provided as a part of the course. There is no pass/fail for these assignments and projects.
      • In case the assignments and projects are not up-to-the-mark, trainees are welcome to take help and support for improvisation. But no kind plagiarism will be tolerated during evaluation.
      • There is no pass/fail for these assignments and projects, except MCQ tests. In the case of the dual certification program, you will get two attempts to clear MCQ assessments.
      • Our objective is to ensure that trainees get vital hands-on experience so that they are well-prepared for job interviews along with a performance at their jobs.
      artificial-intelligence-engineering

      Select the course you want to Enroll:

      play Self-paced Blended

      ₹ 48000 + taxes

      Learn through on demand e-learning video sessions available in your learning management system.

      • Student loan available with easy EMIs
      • Affordable option to master the skills with high ROI
      • Latest industry-relevant content with 500 hours of learning
      • Extensive doubts support over mail/ online/ in-person
      • Flexibility to complete the AnalytixLabs certification in up to 1 year (6 months for dual certificate)

      bootcamp Weekday Bootcamp

      ₹ 55000 + taxes

      Experiential learning with in-person mentorship, also available on weekend and weekday classroom bootcamps.

      • Fee payable in up to 3 installments
      • Student loan available with easy EMIs
      • Affordable option to master the skills with high ROI
      • Latest industry-relevant content with 500 hours of learning
      • Extensive doubts support over mail/ online/ in-person
      • Flexibility to complete the AnalytixLabs certification in up to 1 year (6 months for dual certificate)

      live Weekend Batches

      ₹ 55000 + taxes

      Our expert instructors led live online sessions, attend it from any location conveniently. These are fully interactive sessions for real-time discussions, questions/ answers.

      • Fee payable in up to 3 installments
      • Student loan available with easy EMIs
      • Affordable option to master the skills with high ROI
      • Latest industry-relevant content with 500 hours of learning
      • Extensive doubts support over mail/ online/ in-person
      • Flexibility to complete the AnalytixLabs certification in up to 1 year (6 months for dual certificate)
      profile

      Profile Building

      A team of seasoned professionals will provide you personalized help for preparing CV and online profiles, based on your educational background and experience.

      interview

      Interview Preparation

      This will be followed by one to one interview preparation along with mock interviews (if required).

      jobpreperation

      Job Referrals

      We get different types of job requirements from various organizations, our clients, HR consultants and large pool of AnalytixLabs’ alumni working in various companies.

      support

      Continuous Support

      There will be continuous support from our side for as long as you need it. Most of our students do get multiple interview calls and good career options based on the skills they learn during the course.

      • 09Jul

        Noida

      • 09Jul

        Gurgaon

      Want to see
      how it works?
      demo
      FAQ

      Frequently asked question

      • What can taking a course in data analytics accomplish for my career?

        You can start along the road to becoming a successful data analyst across several disciplines by enrolling in a well-designed data analytics course. Over the past ten years, the demand for data specialists has increased tremendously across industries, and getting training in data analytics is one of the greatest ways to keep up.

        Be it analyzing a sporting event or detecting early-stage cancer; a data analyst has a role in everything. The scope of data analytics as a discipline has been growing since its inception. Every task, every process, every little gadget connected to the internet produces data that can be turned into vital information. The newfound utility of data has increased the importance of analytics and data science in India by manifolds. Therefore, a reputed data analytics certification course in India can boost your career to get a flying start in the industry.

      • What distinguishes a data science course from an analytics course?

        A subset of data science called data analytics has a much narrower field of study. You can learn how to handle data collecting, cleansing, and organisation as well as descriptive and predictive data analysis through a data analytics certification training programme.

        Finding patterns in data, posing pertinent questions, and setting up machine learning algorithms to provide answers are the main objectives of a data science training course. Depending on your experience, knowledge, and, of course, the mentors at Ai campus' expert advice, you can select a course.

        Data science and data analytics careers can take many different forms. For instance, the business analytics 360 course will assist you in starting from scratch to become a business analyst. You can increase your understanding of algorithms and predictive modelling with the aid of a machine learning course. For each of them, Ai campus offers the top data analytics education in Bangalore, Noida, and Delhi.

      • What does the professional transition look like after data science training?

        Since data science is a broad field, it is challenging to provide a definitive response. Nevertheless, we may consider some real-world situations that our alumni have encountered. To confirm their claims, look them up on LinkedIn.

        After receiving training from Ai Campus, we transformed from a leader in the manufacturing industry into a global data science pioneer. Aggarwal's learning curve was very easy for a non-programmer. He was able to devote a sufficient amount of time to practising programming while still paying attention to other important factors thanks to the course's carefully planned framework. His development was quick, focused, and successful. He is currently making contributions to analytics and customer data science.

        The journey taken by Archish Rai Kapil from history graduate to data analyst at Air India is pretty inspiring. He began with advanced Excel expertise and accumulated certifications in a variety of analytics technologies. His lack of CS experience never got in the way, and Archish graciously gives Ai Campus some of the credit for providing him with "just what he needed."

        These two examples were chosen from a long list with the intent of demonstrating that anyone can make the transition to data science and highlighting the fact that active professionals can, with a little extra effort, obtain a certification in data analytics and do so successfully.

      • What distinguishes Ai Campus as a data analytics institute?

        In order to offer IT/ITES professionals a comprehensive range of data science training programmes, Ai Campus was founded in 2011. There are numerous organisations operating with a broadly comparable objective in mind. Ai Campus has become a trusted reputation over the past ten years by acting in specific ways correctly.

        The mission of Ai Campus is to empower young people in India to take advantage of opportunities in the future. The finest data science institute in India, according to Analytics India Magazine, is Ai Campus.

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