Learn the fundamentals of AI/ML with python
logo

Learn the fundamentals of
AI/ML with python

Designing Exceptional User Experiences: A UI/UX Webinar for Design Enthusiasts

January 5, 2025

5:00 - 7:00 PM

2-3 Hrs

Keynote Speaker

Jai Ganesh Suresh

Architect at  Ericsson

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

Designing Exceptional User Experiences: A UI/UX Webinar for Design Enthusiasts

Learn the fundamentals of AI/ML with python
FAILproof IT Career Blueprint 
FAILproof IT Career Blueprint 

January 5, 2025

5:00 - 7:00 PM

2-3 Hrs

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

Keynote Speaker

Jai Ganesh Suresh

Architect at  Ericsson

About the webinar

Step into the world of Artificial Intelligence and Machine Learning with our beginner-friendly webinar, "Learn the Fundamentals of AI/ML with Python." This session is perfect for students, professionals, and tech enthusiasts eager to explore AI concepts and their real-world applications. Gain insights into Python's role in AI/ML development and kickstart your journey in one of the most sought-after fields today. Don’t miss this opportunity to learn from experts and build a strong foundation for your AI/ML career!

Register for FREE Now!

Name*
Phone number*
  • Andorra(+376)
  • United Arab Emirates(+971)
  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
  • Anguilla(+1 264)
  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
  • Mayotte(+262)
  • South Africa(+27)
  • Zambia(+260)
  • Zimbabwe(+263)
Educational qualification*
Current Profile*
Please fill all the required fields!
Please accept terms and conditions to proceed

By submitting, I agree to be contacted via phone, SMS, or email for offers & products, even if I am on a DNC/NDNC list.

About the webinar

Kickstart your journey as a Full Stack Developer even if you don’t have a computer science degree! Discover essential skills, to become a full stack developer, and get expert tips on landing your dream job in tech. Join us to unlock the secrets to a successful career in full stack development.

About the Webinar

Step into the world of Artificial Intelligence and Machine Learning with our beginner-friendly webinar, "Learn the Fundamentals of AI/ML with Python." This session is perfect for students, professionals, and tech enthusiasts eager to explore AI concepts and their real-world applications. Gain insights into Python's role in AI/ML development and kickstart your journey in one of the most sought-after fields today. Don’t miss this opportunity to learn from experts and build a strong foundation for your AI/ML career!

3 million+ such learners successfully empowered with GUVI upskilling! 

What will you gain in the Webinar ?

Python as the Go-To Language for AI/ML:

Discover why Python is the preferred choice for AI/ML, thanks to its versatility, extensive libraries, and strong community support.

Core Concepts in AI/ML:

Gain a solid understanding of essential concepts like data preprocessing, feature engineering, model selection, and evaluation—the building blocks of successful AI/ML projects.

Exploring Popular Libraries:

Exploring Popular Libraries: Get hands-on insights into powerful AI/ML libraries like Scikit-learn, TensorFlow, and PyTorch, which simplify the implementation of various algorithms.

Foundational Machine Learning Algorithms

Foundational Machine Learning Algorithms: Learn the fundamentals of key machine learning algorithms, such as linear regression, decision trees, and support vector machines, to build effective models.

The Path to Mastery:

Understand the importance of continuous learning and experimentation in mastering AI/ML and driving innovative solutions.

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

Who is this Webinar for?

Working Professionals

Working professionals willing to switch into Artificial Intelligence/ machine learning.

Graduates

Freshers who wish to build their careers in Artificial Intelligence/ machine learning.

Students

College Students looking to gain AI & machine learning skills for their professional future.

Anyone

Anyone interested in building their future career in the AI/ML industry

I am Interested, Register Now

Join for Rs 999 FREE

For first 1000 registrations only

About the Webinar

Step into the world of Artificial Intelligence and Machine Learning with our beginner-friendly webinar, "Learn the Fundamentals of AI/ML with Python." This session is perfect for students, professionals, and tech enthusiasts eager to explore AI concepts and their real-world applications. Gain insights into Python's role in AI/ML development and kickstart your journey in one of the most sought-after fields today. Don’t miss this opportunity to learn from experts and build a strong foundation for your AI/ML career!

3 million+ learners successfully empowered with GUVI’s upskilling!

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

About the speaker 

Jai Ganesh Suresh

Architect at  Ericsson

Jai Ganesh Suresh is an experienced professional with over 8 years of expertise in Artificial Intelligence, Machine Learning, Python programming, and Robotics. Jai has trained countless individuals as a freelance technical trainer and inspires many as a public motivational speaker. His expertise extends to Deep Learning, Computer Vision, and Digital Image Processing. With a blend of technical knowledge and motivational insights, Jai is dedicated to empowering learners in the AI field.

Secure your entry pass today.

Register for Free Now
What will you learn in the Webinar?
Python as the Go-To Language for AI/ML:

Discover why Python is the preferred choice for AI/ML, thanks to its versatility, extensive libraries, and strong community support.

Core Concepts in AI/ML:

Gain a solid understanding of essential concepts like data preprocessing, feature engineering, model selection, and evaluation—the building blocks of successful AI/ML projects.

Exploring Popular Libraries:

Exploring Popular Libraries: Get hands-on insights into powerful AI/ML libraries like Scikit-learn, TensorFlow, and PyTorch, which simplify the implementation of various algorithms.

Foundational Machine Learning Algorithms:

Foundational Machine Learning Algorithms: Learn the fundamentals of key machine learning algorithms, such as linear regression, decision trees, and support vector machines, to build effective models.

The Path to Mastery

Understand the importance of continuous learning and experimentation in mastering AI/ML and driving innovative solutions.

Identify key performance indicators & strategies for DevOps success.

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

Who is this Webinar for?
Working Professionals

Working professionals willing to switch into Artificial Intelligence/ machine learning.

Graduates

Freshers who wish to build their careers in Artificial Intelligence/ machine learning.

Students

College Students looking to gain AI & machine learning skills for their professional future.

Anyone

Anyone interested in building their future career in the AI/ML industry

I am Interested, Register Now

Join for Rs 999 FREE

For first 1000 registrations only

About the speaker 

Jai Ganesh Suresh

Architect at  Ericsson

Jai Ganesh Suresh is an experienced professional with over 8 years of expertise in Artificial Intelligence, Machine Learning, Python programming, and Robotics. Jai has trained countless individuals as a freelance technical trainer and inspires many as a public motivational speaker. His expertise extends to Deep Learning, Computer Vision, and Digital Image Processing. With a blend of technical knowledge and motivational insights, Jai is dedicated to empowering learners in the AI field.

Secure your entry pass today.

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

Frequently Asked Questions

What is the cost of attending this Webinar?

This insightful session is completely free. Don’t miss the chance to register and secure your spot today!

What is the duration of this Webinar?

The webinar is scheduled for 05th jan 2025, starting at 5 PM, and will last for approximately 2 hours. It will be conducted online.

What will I gain by attending this Webinar?

By attending this webinar, you'll gain a strong foundation in AI and Machine Learning concepts using Python. You'll also learn how to apply key algorithms and tools to solve real-world problems, setting you up for success in the growing field of AI/ML.

Learn the fundamentals of AI/ML with python

January 5, 2025

5:00 - 7:00 PM

2-3 Hrs

25 th June

6PM TO 8PM

I'm Interested, Register Now

Join for Rs 999 FREE

Register Now

Learn the fundamentals of
AI/ML with python

January 5, 2025

5:00 - 7:00 PM

2-3 Hrs

Join for Rs 999 FREE

For first 1000 registrations only

Register for Free Now

Sign Up for Free Masterclass

Name*
Phone number*
  • Andorra(+376)
  • United Arab Emirates(+971)
  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
  • Anguilla(+1 264)
  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
  • Mayotte(+262)
  • South Africa(+27)
  • Zambia(+260)
  • Zimbabwe(+263)
Educational qualification*
Current Profile*
Please fill all the required fields!
Please accept terms and conditions to proceed
Please wait