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Artificial Intelligence and Data Science Program

This Artificial Intelligence and Data Science Program from Thinkcloudly will teach you the skills of Machine Learning & Artificial Intelligence. You will learn from top professors and industry experts while being coached one-on-one.

By taking this Advance course in Data Science and AI, you will be guided through the process of developing AI solutions that will help the company thrive based on technologies and frameworks. Furthermore, you will build models using the collected data, as well as lead a team of Data Scientists.

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Duration : 29+

AI & DS

Artificial Intelligence and Data Science Program

$999.00

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Course Highlights

In today’s market, Artificial Intelligence and Machine Learning professionals are highly paid. Compared to other sectors, they earn 80-90% more. The growth of this sector has changed the mindset of people. Artificial Intelligence and Machine Learning experts will be needed in every industry by 2025, according to research. Major industries like pharmaceuticals, information technology, banking, healthcare, telecommunications, and retail will use Artificial Intelligence and Machine Learning tools to boost their businesses. This emerging technology should therefore be familiarized with as soon as possible. This Advance Data Science and AI program will give you an exposure to all important topics and real-time scenarios to become and expert in the technology and get ready for job interviews.

Course Learnings

Become familiar with the theory behind artificial intelligence.
Learn to master AI models at the cutting edge.
Using AI to solve real-world problems.
Using deep learning, classify images, data, and sentiments.
Use linear regression, polynomial regression, and multivariate regression to make predictions.

Curriculum

  • Introduction to Python and IDEs
  • Python Basics
  • Object Oriented Programming
  • Hands-on Sessions for practicev
  • Fundamentals of Excel
  • Excel For Data Analytics
  • Data Visualization with Excel
  • Excel Power Tools
  • Classification Problems using Excel
  • Information Measure in Excel
  • Regression Problems Using Excel
Hands-on :Analyzing sales data with Excel, and conducting statistical tests on various samples from the population to solve a classification problem.
  • Introduction to GIT
  • Working with branches in Git, Using Git commands
  • Github collaboration (pull request), Github Authentication (ssh and Http)
  • Merging branches, Resolving merge conflicts, Git workflow
  • SQL Basics
  • Advanced SQL
  • Deep Dive into User Defined Functions
  • SQL Optimization and Performance
  • Descriptive Statistics
  • Inferential Statistics
  • Probability
  • Extract Transform Load
  • Data Handling with NumPy
  • Data Manipulation Using Pandas
  • Data Preprocessing
  • Data Visualization
  • Introduction to Machine learning
  • Regression
  • Classification
  • Clustering
Supervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • Support Vector Machine
  • Gradient Descent
  • K-Nearest Neighbors
  • Time Series Forecasting
Unsupervised Learning
  • Performance Metrics
  • Classification reports.
  • Confusion matrix
  1.  
  • AI basics
  • Deep Learning
  • Neural Networks
  • Text Mining, Cleaning, and Pre-processingText classification, NLTK, sentiment analysis, etc
  • Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modeling
  • AI Chatbots and Recommendations Engine
  • Introduction to MLOps.
  • Machine Learning Models
Business case study on real time scenerio

Course Outcomes

Improve your technical abilities by learning with the finest tutors.
Earn Certificate of completion.
Deepen your understanding of AI and Data Science.
Practice with hands-on labs to polish your cloud Data Science skills.
Be eligible for IT jobs in MNC's.

What roles can an Artificial Intelligence and Data Science play?

Management

A Data Scientist & AI expert has a significant manegerial role to use data and analytics to build future operations of business

AI Tools

Use futuristic AI tools to create and optimize classifiers.

Team Collaboration

Collaborating with stakeholders to ascertain the future scope of the business with data and analytical strategies.

Analytics Interpretation

A Data Scientist assesses, strategises and implements high level statistical models to bring solutions to complex issues.

Data Mining

Data mining usable data from data sources for the benefit of the organisation.

Data Solution

Developing prediction systems and machine learning algorithms.

Know before you Start

This course will introduce you to the exciting fields of AI and Data Science. You will learn about the fundamentals of data analysis and machine learning, and how they are used to build AI applications. You will gain hands-on experience working with popular programming languages and tools used in the field, such as Python, TensorFlow, and scikit-learn.
By the end of this course, you will have a solid understanding of the core concepts of AI and Data Science and be able to apply them to real-world problems.

The top job titles in the field are:

  • Data Analyst
  • Automation expert
  • Automation Developer
  • Data Mining Expert
  • Data Scientist
  • AI Researcher
  • AI Product Manager

  • We can make you count uncountable reasons but mentioning some best excitments:

  • Deeper expertise,
  • Higher earning potential,
  • Greater job security,
  • Opportunities for advancement, and
  • Personal fulfillment

  • All because we are well structured and claim the best student experience:

  • Live Interactive Learning
  • Lifetime Access
  • 24×7 Support
  • Hands-On Project Based Learning
  • Industry Recognised Certification

  • As mentioned below:

  • SAS
  • MATLAB
  • Jupyter
  • Apache Spark
  • Excel
  • Matplotlib
  • BigML
  • ggplot2
  • NLTK
  • D3.js
  • Tableau
  • Scikit-learn

  • Skills You Will Gain

    SAS
    Apache Spark
    BigML
    D3.js
    MATLAB
    Excel
    ggplot2
    Tableau
    Jupyter
    Matplotlib
    NLTK
    Scikit-learn

    Certification Overview

    Starting with AI and data science can be a challenging task, but with the right roadmap, it can be a rewarding experience.
    Remember, the key to success is persistence and dedication. AI and data science are constantly evolving fields, so keep learning and exploring new ideas.
    Here are some steps which you follow to start and master it:

  • Lear Python,
  • Learn Statistics and Mathematics,
  • Learn Machine Learning,
  • Practice with Data,
  • Stay active with communities, and
  • Build multiple projects.

  • Yes, AI and Data Science needs some short of coding. But don’t need to worry about that as any well tailored course covers everything needed to complete the training from scratch either being coding.
    If by saying learning you mean to grab the concepts then yes, you can complete your training parts in 6 month. But, mastering any skill takes time and practice. As much you will practice with data and complete projects you will be a step closer to professionalism!
    AI and Data Science is an evolving field and a sensational topic of research. Google and internet is shivering with the new enhacements and AI is going to be the future. So, learning AI and Data Science at this phase can give you an exceptional career growth.
    Experts says mastering any course takes time, consistency, and a proper mentor. Yes, AI and Data Science are counted as non easy but under proper guidance one can perform phenominal in the stream.

    Our Students Work at

    Career Services

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    Reviews

    FAQs

    We accept all major credit and debit cards from leading banks. For any assistance, please contact Thinkcloudly Customer Support.
    We offer a variety of ways to learn about the cloud, from quick hands-on labs to technical deep dives. You can ask our experts to help you from their industry experience if you are uncertain which course or plan to choose.
    Certainly, you can set up a free demo session, although if you’ve already viewed any sample recordings, you won’t need to look further. The enrollment process signifies a mutual commitment between you and us where you commit to be a good learner and we pledge to provide you with the best possible learning environment. A key part of your learning takes place in our sessions, which are supported by experienced instructors, dedicated Personal Learning Managers, and interactions with your peers. Get the full learning experience, and not just a demo.
    You will receive access to the LMS immediately after enrolling and will have it for the rest of your life. You will have access to all previous class recordings, PPTs, PDFs, and assignments. In addition, you will have instant access to our 24×7 support team. You can start learning as soon as possible.
    At Thinkcloudly, you’ll never miss a lecture! You can view the recorded session in your LMS anytime also the missed session can be attended in another live batch.a
    Teachers and tutors at Thinkcloudly are industry veterans with great experience.

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