Deep Learning With Python

Learn Deep Learning with Python for real-world skills to work on practical applications.

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  • 130 Hours
  • 20 Classes
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  • Courses details
  • deep-learning-python
    Learning Modes
    class

    Fully Interactive Online/
    Offline Classroom

    INR 25000*/-
    play

    Self-Paced Blended
    eLearning

    INR 20000*/-
    date

    No of classes X Hours

    12 x 3 = 36 hrs
    + 12 hrs eLearning

    study

    Self Study Hours

    60 hrs
    (8-10 hrs/week)

    8

    Assignments & Projects
    recruitment

    Placement Readiness Program


    This advance Excel training is designed to help you become a successful Data Analyst and is highly recommended for aspirants who are just starting their career in Analytics. This power-packed advance Excel course will teach you how to make insightful dashboards, VBA macros, and SQL through a strong focus on case studies to ensure hands-on learning. Once armed with the much-needed skills with this advanced Excel course, you will also learn the powerful Data visualization tool Power BI to present your analysis. One of the best advanced Excel training available in Bangalore, Gurgaon and Delhi, with flexibility of attending the live online sessions and self-paced video mode as well. 

    The program begins with a building block of Analytics that sets the essential foundation of quantitative and basic programming concepts required for candidates from non-technical backgrounds. The program further dwells into data manipulation, analytics, and visualization using Excel-VBA, SQL, and Power BI.

    • Introduction to AI & Deep Learning (AI)
        • Modern era of AI
        • Role of Machine learning & Deep Learning in AI
        • Hardware for AI (CPU vs. GPU vs. FPGA)
        • Software Frameworks for AI & Deep Learning
        • Key Industry applications of AI
        • What are the Limitations of Machine Learning?
        • What is Deep Learning?
        • Advantage of Deep Learning over Machine learning
        • Reasons to go for Deep Learning
        • Real-Life use cases of Deep Learning
        • Overview of important python packages for Deep Learning
    • Introduction to Cloud Computing & Gits
        • Introduction to Google Colab
        • What is Cloud Computing? Why it matters?
        • Traditional IT Infrastructure vs. Cloud Infrastructure
        • Cloud Companies (IBM, Microsoft Azure, GCP, AWS ) & their Cloud Services
        • Use Cases of Cloud computing
        • Overview of Cloud Deployment Models
        • Implementation of ML/DL model in Cloud
        • Introduction to git
        • Basic git commands hands on
        • Recap of Machine Learning
    • Artificial Neural Network
        • Introduction to Artificial Neural Networks
        • Hidden layers, hidden units
        • Illustrate & Training a Perceptron
        • Limitations of A Single Layer Perceptron
        • Illustrate Multi-Layer Perceptron
        • Activation function, Loss Functions
        • Understand Forward & Back propagation – Using Example
        • Regularization – Types of Regularization
        • Normalization
        • Different Optimization Technique - Gradient Descent
        • Vanishing Gradient
        • Batch in ANN -  Batch Norm
    • Introduction to Keras & Pytorch
        • How to compose Models in Keras
        • Saving and Loading a model with Keras
        • Using Tensor Board with Keras
        • Intuitively building networks with Keras
        • How to compose Models in Pytorch
        • Saving and Loading a model with Pytorch
        • Intuitively building networks with Pytorch
    • Reinforcement 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

    Candidates from various quantitative backgrounds, who are not just looking for advance Excel training but also want to learn job-oriented Analytics & Reporting skills using MS Excel, VBA, MS-Access, SQL, and Power BI.

      • BI Analyst
      • MIS Analyst
      • Data Analyst
      • Data Visualization Analyst
      • Business Analyst
      • MIS Reporting Analytics
      • Data Visualization
      • Data Mining & Analysis
      • Data Blending & Manipulation

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

      Assignments
      • 4 Basic exercises ( Excel, VBA, SQL & Power BI)
      Projects
      • Airlines data analysis and reporting
      • Marketing & Sales data manipulation and analysis
      • Sports equipment retail data analysis and visualization
      • Consumer electronics pricing data analysis & visualization
      • Sports event analysis and reporting
      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.

      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.

      • 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.
      ai-deep-learning-python

      Select the course you want to Enroll:

      live Weekend Batches

      ₹ 16000 + 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 130 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)

      play Self-paced Blended

      ₹ 20000 + 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 130 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 a 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

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      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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