Artificial Intelligence Training Course - H2kinfosys

Artificial Intelligence Training

Artificial Intelligence Training

Why H2K Infosys?

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    100% job oriented training

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    Instructor-led face-to-face live training

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    Huge course syllabus on latest technologies

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    Real-time projects to gain hands-on experience

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    Cloud Test Lab to practice on software tools and projects

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    Lifetime access to recorded class videos

About Artificial Intelligence Training Course

  • What makes Artificial Intelligence (AI) so unusual?

    Before we begin to understand what Artificial Intelligence is, quoted below are a few examples. Siri app on iPhones, Amazon's Alexa, the super-popular FaceApp, Netflix's movie prediction model, self-driven cars, a computer playing chess against humans are live examples we have been witnessing day in and day out.  

    It is needless to say that, we have been cohabiting with AI applications with or without our knowledge.

    Hence, we can conclude that enforcing the machines to think and act like humans, exhibiting human intelligence to suggest recommendations, make voice-based interactions, perform human-like functions is called Artificial Intelligence.

    The technology is constantly evolving and the experts believe that almost every function can be automated using Artificial Intelligence and the technology is likely to be omnipresent soon.

    More and more companies are investing in AI given its growth trend which has jumped to 64.8% in 2020 from a mere 39,7% in 2018. Almost every application of AI is being embraced with open arms and has proved to be a game-changer.

    At H2K Infosys, we provide authentic Artificial Intelligence training online, led by industry experts with numerous years of hands-on experience. Our AI course training is delivered in a virtual classroom environment through live streaming. What's more, all our learners will attain life-time access to recorded videos of the Artificial Intelligence training course. 

  • The technology gurus predict that over 2.3 million jobs will be created in 2020. Every 9 out of 10 Americans use AI in conducting their day to day activities.

    This rapidly evolving technology opens doors to a multitude of job opportunities such as

    • AI Engineer
    • Data Mining  Analyst
    • Data Scientist
    • Business Intelligence Developer
    • Machine Learning engineer
    • Research Scientist


    Unfortunately, the exponentially growing demand for AI is not being met due to a lack of skilled professionals in the market. According to a popular job portal, AI jobs have seen an upward trend of over 119%.

    Now, when we are talking about the AI jobs, we are not discussing some low-paying professions but with an annual median pay package of AI specialists ranging from $95k - $120k.

    Tech giants like IBM, Microsoft, Samsung, Intel, NVIDIA, Adobe, Lenovo, e-commerce companies like Amazon, a commercial financial service provider like Wells Fargo, startups like Argo AI are hiring AI professionals left, right, and center.

    To make up for the increasing demand of AI professionals across the globe, we have ventured into offering Artificial Intelligence certification online for beginners/IT professionals/non-IT candidates/software experts who have keen interest to build their career in the same. Hence, if a career in AI excites you, enroll with us for the best AI training online at www.h2kinfosys.com today.

  • The good news is, to become an AI expert the aspirants need not have coding experience. Moreover, after the course completion, one would be able to choose their profession from among the wide range of careers in AI based on their prior experience.

    However, listed below are the eligibility criteria for the top five careers in AI.

    Machine Learning Engineer

    Eligibility: The candidate should have worked on Java, Python, and Scala

    Data Scientist

    Eligibility: The aspirant should be well-versed on Big Data Hadoop tools like Hive, MapReduce, PIG, Spark apart from hands-on experience in Scala, Python, SQL, etc.

    BI Developer

    Eligibility: Candidates with strong problem-solving skills, good communication skills which can help them communicate with the other non-technical people in the team are required. However, considerable experience in data warehousing, data mining, SQL, and BI technologies would be an added advantage.

    Research Scientist

    Eligibility: These individuals should be experts in mathematical concepts, Statistics, Machine learning, and deep learning.

    Big Data Engineer

    Eligibility: Professionals who have demonstrated expertise in C++, Java, Python, and Scala are fit for this high paying job.

    However, the Artificial Intelligence certification course is mandatory to take up any of the top career positions in AI.


    What is the eligibility to enroll for the best Artificial Intelligence training online?

    • Education

    Degree in quantitative fields such as Mathematics/Statistics/Physics/Economics

                (or)

    Undergrad degree in engineering/computer science,

    • Experience: 0-10 years

    • Good have a passion for learning various mathematical concepts and computer applications.

  • At H2K Infosys, we have been instrumental in delivering online training programs in a wide range of technologies. Listed below are the numerous advantages of choosing us for Artificial Intelligence certification.

    • All our AI training batches are handled by experienced trainers who also happen to be industry experts with hands-on implementation knowledge.

    • Our AI courses are live-classroom sessions, led by instructors which can be streamed from the luxury of your home.

    • Life-time access to all the recorded videos of entire Artificial Intelligence training.

    • Cloud test lab access for practice.

    • We conduct mock interviews to help our learners build confidence which subsequently enables them to crack the interviews comfortably.

    • All our online training courses are 100% job oriented.

    • Our in-house experts create your resume after the AI course completion.

    • Our HR team takes over soon after the course completion to assist in job placement.

    With the right conceptualization and delivery of Artificial intelligence certification online course at H2K Infosys, all our learners emerge out with good command over the technologies which include Python Programming, Machine Learning, Advanced Deep Learning, etc. Additionally, working on projects during training helps them gain hands-on practice.

    By the end of the course, we are confident that all our learners have an edge over their peers from other institutes. Eventually, this helps them bag their preferred roles and climb up the success ladder seamlessly.

    • Statistics Fundamentals

    • Python programming

    • Machine Learning

    • Fundamentals of Deep Learning

    • Advanced Deep Learning concepts

    • Test Analytics

    Note: Refer to our AI course Syllabus section for detailed course specifications.

Artificial Intelligence Training Course Syllabus

  • Learn Descriptive and Inferential statistics concepts and implementation using real-world data will also be covered. It will end with a case study implementation of EDA.

    • Statistics Fundamentals and Implementation
    • Exploratory Data Analysis
  • Python is a critical tool for Data Science. In this module participants learn Python programming from basic to advanced level using Jupyter notebooks. Here, participants create, subset and manipulate various data structures. Specific libraries like NumPy, Pandas and Matplotlib that are popular for Data Analysis are covered in depth.

    • ESSENTIALS OF PYTHON PROGRAMMING
    • BASIC DATA STRUCTURES AND FUNCTIONS IN PYTHON
    • INTRODUCTION TO
      -Numpy Library
      -Pandas Library
      -Matplotlib and Seaborn Library
    • DATA EXPLORATION USING STATISTICS
  • Machine Learning algorithms are the backbone of Predictive Modelling. This is where the Crux of Data Science lies. The end objective of solving a data science problem is finding the patterns in the data and represent that in the form of a Data model. The algorithms taught in our course cover almost all of the problems data scientists solve on a regular basis.

    • Introduction to Supervised and Unsupervised Learning
    • Linear Regression with Multiple Variables
    • Logistic Regression
    • Decision Trees [CART]
    • k-Fold Cross Validation
    • Bagging and Bootstrapping
    • Random Forest
    • Gradient Boosting (XGBoost)
    • Principal component Analysis
    • K-means clustering
    • Hierarchical Clustering
    • Market Basket Analysis
    • KNN
    • Support Vector Machine
    • Naive Bayes
    • Time Series Analysis
  • In this module, participants will learn the foundations of Deep Learning and understand how to build neural networks. The implementation of the same will be done using Python, TensorFlow and Keras.

    • Introduction to Artificial Neural networks with Keras
      • From Biological to Artificial Neurons
      • Implementing MLPs with Keras
      • Fine-Tuning Neural Network Hyperparameters
    • Training Deep Neural Networks
      • Vanishing/Exploding Gradients Problems
      • Reusing Pretrained Layers
      • Faster Optimizers
      • Avoiding Overfitting Through Regularization
      • Summary and Practical Guidelines
  • Take a step further in Deep Learning in this module with Convolutional Neural Networks. Learn how to implement Customize Models, Train Algorithms and implement Object Detection.

    • Custom Models and Training with TensorFlow
    • Deep Computer Vision Using Convolutional Neural Networks

Interview Questions

  • Please email to Training@H2kInfosys.com for sample resumes.

Sample Resumes

Please email to Training@H2kInfosys.com for sample resumes.

Artificial Intelligence Training Ratings

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