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Introduction to AI and Machine Learning

Master Efficiency and Drive Quality with Six Sigma methodologies

40 Hours live training

1-1 Live Sessions

Certificate of completion

4.7

(35,000)

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(35,000+ students enrolled)

Course Description For AI and Machine Learning

Are you ready to embark on an exciting journey into the world of Artificial Intelligence (AI) and Machine Learning (ML)? Our AI and Machine Learning course is designed to provide you with a solid foundation in these transformative technologies. Whether you’re a beginner or someone looking to expand your knowledge, this course will equip you with the essential skills to leverage the power of AI and ML in various domains.  

Dive into the cutting-edge field of AI and ML with our comprehensive Introduction to AI and Machine Learning course. With a focus on practical learning, you will learn to work with industry-standard tools and techniques, preprocess data, train ML models, and evaluate their performance. Gain insights into how AI and ML are transforming industries and learn ethical considerations to develop responsible AI solutions. Join us in this engaging course to unleash your potential, advance your career, and become part of the exciting AI revolution.

What you'll gain

Course Content

  1. Introduction to AI
  2. Introduction to Python
  3. Machine Learning Basics 
  4. Supervise and Unsupervised Learning 
  5. Regression 
  6. Logistic Regression
  7. Clustering 
  8. Decision Trees
  9. Ensemble Methods
  10. Random Forest
  11. Forecasting Models
  12. Reinforcement Learning 
  13. Deep Learning
  14. Case Studies
  15. Introduction to Tableau and Power BI

Key Benefits of AI and Machine Learning

Enhance your career with AI and Machine Learning skills

Hone your problem-solving, analytical, and programming skills, and advance your professional skill set with expertise in AI and Machine Learning.

Join the industry of your choice

AI and Machine Learning tools and techniques are applicable across various industries, allowing you to choose and excel in the sector of your preference.

Internationally available opportunities

Get international opportunities. AI and Machine Learning are highly sought-after skills in organizations worldwide, opening doors to international career prospects.

Become an internal consultant or adviser to your company

Achieve better job roles and higher salaries by becoming a certified AI and Machine Learning professional, offering your expertise as an internal consultant or adviser in data-driven decision-making.

Deepen your business understanding

AI and Machine Learning encourage you to think strategically and analytically, providing clear insights into business performance, trends, and opportunities through effective data analysis and predictive modeling.

Get Project Management experience

The more you advance in AI and Machine Learning, the more experience you gain in managing complex data projects, enhancing your professional credentials and expertise.

Learning from the Best trainer

amitabh saxena

Amitabh Saxena

Lean Six Sigma Master Black Belt | CEO, Anexas Europe

Amitabh Saxena, CEO of Anexas Europe has done some great work in the quality domain. He has an experience of more than 33 years. He is also the founder of Anexas and will be your trainer for the course. He has consulted Fortune 100 organizations including ADNOC, Dell, SABIC, Aramco, Ministry of Health, DP World, Alfuttaim Motors, EMC2, Bank Muscat, TATA Business services, Deloitte , TATA motors finance ltd, Steel authority of India, Indian railway , Colgate Palmolive , Novartis, Novozymes Denmark, HP, Tech Mahindra, Reliance, Bharat Petroleum, Maersk ,Cisco and the list goes on.

This course includes

Accredited By

anexas accreditation

Trusted by over 15,000 companies and millions of learners around the world

Manju KS
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ANEXAS is the No.1 Lean Six sigma training center.I joined this institute for Lean Six sigma Green Belt, Black Belt and Master Black Belt and I feel i have made a right decision. excellent training environment . I am happy to be part of ANEXAS always.
Sanjit Achary
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The Six Sigma Green Belt training was excellent. The course material and presentation was very well designed which helped me to understand the concepts so quickly. The trainer is excellent ! The way he narrated the concepts along with real time examples is awesome. Overall, its a great and unique experience. Thank you very much Anexas !
Madhumitha Ravi
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Underwent the Green Belt and Black belt training with the Anexas team - it was a great learning experience under excellent trainers. Well curated program with pratical examples that made learning easy and fun.
Samyabrata Bhattacharjee
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yes it is a great journey. At first i thought it will be difficult for a student to get the concept but the way of teaching make it very easy and simple. Anexas taught us each concept from the practical point of view which gives us strong hold on all the concept.
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Training options for AI and Machine Learning

Self Paced Learning

Features

Online Live Training

Features

Corporate Training

Features

Industry Projects For AI and Machine Learning

Predictive Maintenance for Manufacturing Equipment
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This project aims to implement predictive maintenance using AI and Machine Learning techniques to monitor and predict equipment failures. By analyzing historical sensor data and identifying patterns, the team will develop a model that forecasts maintenance needs before breakdowns occur. This approach will minimize downtime, reduce maintenance costs, and extend the lifespan of machinery.
Personalized Recommendation System
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The goal of this project is to create a personalized recommendation system for an e-commerce platform. By leveraging Machine Learning algorithms to analyze user behavior, purchase history, and product preferences, the system will provide tailored product recommendations to enhance user experience and increase sales.
Automated Customer Support Chatbot
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This project focuses on developing an AI-powered chatbot to automate customer support for a company's website. Using natural language processing (NLP) and Machine Learning, the chatbot will understand and respond to customer inquiries in real-time, providing accurate information and resolving common issues. This will improve customer satisfaction and reduce the workload on human support agents.
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FAQs

Everything you need to know about AI and Machine Learning

Still have questions?

Can’t find the answer you’re looking for?
Please talk to our friendly team.

The focus of the AI and Machine Learning course is to provide participants with a solid understanding of the fundamental concepts, algorithms, and applications of AI and ML. Through practical exercises and real-world examples, the course emphasizes hands-on learning to develop the essential skills. By the end of the course, participants will be equipped with the knowledge and skills to apply AI and ML techniques, make data-driven decisions, and contribute to the exciting field of artificial intelligence.

Yes. Once you pay the fees for the training, all the other costs such as examination costs, study material costs, tools and software costs, and project training costs will be included and no extra charges will be levied.

We have flexible payment options. 

  • You can make full payment. 
  • You can choose an installment. Pay a token amount during registration, and pay the remaining balance anytime before the course concludes.

Choose from multiple payment options at Anexas:

  • Card payment
  • Net Banking
  • Cash
  • UPI payments
  • Tabby

We have an easy cancellation policy made easy! 

  • If you cancel your registration 72 hours before the training starts, a 10% administration fee will be deducted. 
  • Unfortunately, no refunds will be issued for cancellations made after that.
  • However, if you’ve already made the payment, you can reschedule your training to another batch at no extra cost. We value your convenience and strive to accommodate your needs.

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Weekend Training Dates:

July 27, Aug 3, 10, 17, 2024

Aug 24, 31, Sep 14, 21, 2024

Sep 28, Oct 5, 19, 26, 2024

Nov 23, 30, Dec 7, 14, 2024

Dec 21, Jan 4, 11, 18, 2025

Weekdays Training Dates:

Oct 7, 8, 9, 10, 14, 15, 16, 17, 21, 22, 23, 24, 2024

Weekend Training Dates:

Aug 31, Sep 14, 21, 28, Oct 5, 19, 26, 2024

Nov 9, 16, 23, 30, Dec 7, 2024

Weekdays Training Dates:

July 31, Aug 1, 5, 6, 7, 8, 12, 13, 14, 19, 20, 21, 22, 26, 27, 28, Sep 3, 4, 5, 9, 11, 12

Sep 25, 26, Oct 1, 3, 7, 8, 9, 10, 14, 15, 16, 17, 21, 22, 23, 24, 28, 29, 30, Nov 4, 5, 6, 7

Dec 2, 3, 4, 5, 9, 10, 11, 12, 16, 17, 18, 19, 20, 23, 2024 Jan 2, 3, 6, 7, 8, 9, 20, 21, 22, 2025

Weekend Training Dates:

July 19, 20, 27, 2024

July 14, 20, 27, 2024

Sep 14, 15, 21, 2024

Sep 14, 20, 21, 2024

Oct 6, 19, 20, 2024

Oct 18, 19, 25, 2024

Nov 10, 16, 17, 2024

Nov 15, 16, 22, 2024

Dec 8, 14, 15, 2024

Dec 13, 14, 20, 2024

Jan 5, 11, 12, 2025

Jan 11, 17, 2025

Weekdays Training Dates:

July 11, 15, 16, 18, 22, 23, 24, 25

July 11, 15, 16, 18, 19, 22, 23, 24, 25

Aug 12, 13, 14, 19, 20, 21, 22, 23, 26, 27

Aug 12, 13, 14, 19, 20, 21, 22, 26

Sep 13, 18, 19, 20, 24, 25, 26, 27

Sep 13, 17, 18, 19, 20, 23, 24, 25, 26, 27

Oct 15, 16, 17, 18, 21, 22, 23, 24

Oct 16, 17, 18, 21, 22, 23, 24, 25, 28

Nov 13, 14, 18, 19, 20, 21, 25, 26

Nov 15, 18, 19, 20, 21, 22, 25, 26, 27

Dec 10, 11, 12, 13, 16, 17, 18, 19

Dec 11, 12, 13, 16, 17, 18, 19, 20, 23

Jan 16, 17, 20, 21, 22, 23, 27, 28, 2025

Jan 17, 20, 21, 22, 23, 24, 27, 28, 29, 2025

Weekend Training Dates:

July 28, Aug 4, 11, 2024

Jul 5, 12, 13 2024 

Aug 25, Sep 1, 8 2024

Aug 23, 30 Sep 6, 2024

Sep 28, 29, Oct 5, 2024

Sep 28, Oct 4, 5 2024

Oct 26, 27, Nov 9, 2024

Oct 26, Nov 8, 9, 2024

Nov 30, Dec 1, 7, 2024

Nov 30, Dec 6, 7, 2024

Dec 21, 22, 2024 Jan 4, 2025

Dec 21, 27, 2024 Jan 4, 2025

Weekdays Training Dates:

July 29, 30, 31, Aug 1, 5, 6, 7, 8

July 29, 30, 31, Aug 1, 2, 5, 6, 7, 8, 9

Aug 28, 29, Sep 2, 3, 4, 5, 9, 10

Aug 28, 29, Sep 2, 3, 4, 5, 9, 10, 11, 12

Sep 30, Oct 1, 3, 7, 8, 9, 10, 14

Sep 30, Oct 1, 3, 4, 7, 8, 9, 10, 14, 15

Oct 28, 29, Nov 4, 5, 6, 7, 11, 12

Oct 29, Nov 4, 5, 6, 7, 8, 11, 12, 13, 14

Nov 28, 29, Dec 2, 3, 4, 5, 6, 9

Nov 28, 29, Dec 2, 3, 4, 5, 6, 9, 10

Dec 20, 23, 2024 Jan 2, 6, 7, 8, 9, 10, 2025

Dec 20, 23, 2024 Jan 2, 3, 6, 8, 9, 10, 16, 2025