Introduction to AI and Data Engineering
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Introduction to AI and Data Engineering

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

October 25, 2024

7 PM

2 Hrs

Keynote Speaker

Hanisha Khatri

Data Engineer, Climate Connect Digital

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Join for Rs 999 FREE

For first 1000 registrations only

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

Introduction to AI and Data Engineering
FAILproof IT Career Blueprint 
FAILproof IT Career Blueprint 

October 25, 2024

7 PM

2 hrs

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

Keynote Speaker

Hanisha Khatri

Data Engineer, Climate Connect Digital

About the webinar

The fields of AI and data engineering are rapidly evolving, presenting exciting career opportunities in the IT domain. If you're looking to build a career in these areas, now is the perfect time to get started. Join our live online webinar to gain comprehensive insights into AI and data engineering directly from a seasoned professional.
In this power-packed webinar, our expert will guide you through foundational AI concepts such as machine learning and natural language processing. You'll also explore key aspects of data engineering, important processes, and best practices involved in mastering both AI and data engineering to give rise to revolutionary solutions. Register now to equip yourself with the knowledge and skills needed to take your first step in the fields of AI and data engineering.

Reserve your spot!

Register for FREE Now!

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  • Cambodia(+855)
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  • Comoros(+269)
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  • Korea (North)(+850)
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  • 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)
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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

The fields of AI and data engineering are rapidly evolving, presenting exciting career opportunities in the IT domain. If you're looking to build a career in these areas, now is the perfect time to get started. Join our live online webinar to gain comprehensive insights into AI and data engineering directly from a seasoned professional.

In this power-packed webinar, our expert will guide you through foundational AI concepts such as machine learning and natural language processing. You'll also explore key aspects of data engineering, important processes, and best practices involved in mastering both AI and data engineering to give rise to revolutionary solutions. Register now to equip yourself with the knowledge and skills needed to take your first step in the fields of AI and data engineering.

Reserve your spot! 

What will you gain in the Webinar ?

Foundational understanding of AI concepts like machine learning and natural language processing.

Learn Data Engineering principles, including data acquisition, storage, and processing

Learn Data Collection, Cleaning, and Pre-Processing Techniques to ensure data quality

Explore common machine learning algorithms and models used in AI applications

Learn to integrate AI and Data Engineering

Learn best practices for efficient data processing and analysis

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

About the Webinar

The fields of AI and data engineering are rapidly evolving, presenting exciting career opportunities in the IT domain. If you're looking to build a career in these areas, now is the perfect time to get started. Join our live online webinar to gain comprehensive insights into AI and data engineering directly from a seasoned professional.

In this power-packed webinar, our expert will guide you through foundational AI concepts such as machine learning and natural language processing. You'll also explore key aspects of data engineering, important processes, and best practices involved in mastering both AI and data engineering to give rise to revolutionary solutions. Register now to equip yourself with the knowledge and skills needed to take your first step in the fields of AI and data engineering.

Reserve your spot! 

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

Who is this Webinar for?

Working Professionals

Experienced professionals who are planning to switch to a rewarding career in AI and data engineering.

Graduates

Freshers who wish to unlock a professional career in artificial intelligence and data engineering. 

College Students

Students who wish to acquire skills for building expertise in data engineering and artificial intelligence. 

Anyone

Anyone who wishes to want to gain extensive knowledge in AI and data engineering.

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

About the speaker 

Hanisha Khatri

Data Engineer, Climate Connect Digital

Hanisha Khatri is a skilled Data Engineer with over 1.7 years of professional experience at Climate Connect Digital, where she has been instrumental in building and optimizing data-driven solutions. Her expertise lies in working with Apache Spark, Google Cloud Platform (GCP), and ETL (Extract, Transform, Load) processes, critical components in managing and analyzing large datasets.
In her role, Hanisha has demonstrated a strong ability to integrate cutting-edge technologies with practical solutions, contributing to advancing data engineering practices at Climate Connect Digital. Her continuous drive to learn and apply new technologies positions her as a forward-thinking professional in data engineering.

Secure your entry pass today.

Register for Free Now
What will you learn in the Webinar?

Foundational understanding of AI concepts like machine learning and natural language processing.

Learn Data Engineering principles, Including data acquisition, storage, and processing

Learn Data Collection, Cleaning, and Pre-Processing Techniques to ensure data quality

Explore common machine learning algorithms and models used in AI applications

Learn to integrate AI and Data Engineering

Learn best practices for efficient data processing and analysis

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

Experienced professionals who are planning to switch to a rewarding career in AI and data engineering.

Graduates

Freshers who wish to unlock a professional career in artificial intelligence and data engineering. 

College Students

Students who wish to acquire skills for building expertise in data engineering and artificial intelligence. 

Anyone

Anyone who wishes to want to gain extensive knowledge in AI and data engineering.

Register for Free Now

Join for Rs 999 FREE

For first 1000 registrations only

About the speaker 

Hanisha Khatri

Data Engineer, Climate Connect Digital

Hanisha Khatri is a skilled Data Engineer with over 1.7 years of professional experience at Climate Connect Digital, where she has been instrumental in building and optimizing data-driven solutions. Her expertise lies in working with Apache Spark, Google Cloud Platform (GCP), and ETL (Extract, Transform, Load) processes, critical components in managing and analyzing large datasets.

In her role, Hanisha has demonstrated a strong ability to integrate cutting-edge technologies with practical solutions, contributing to advancing data engineering practices at Climate Connect Digital. Her continuous drive to learn and apply new technologies positions her as a forward-thinking professional in data engineering.

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?

The GUVI webinar is completely free of cost to attend for the first 50 registrations. Just join this webinar by filling in the details & registering for free.

What is the duration of this Webinar?

The GUVI webinar would start from 7 PM onwards. It is an online webinar session.

What will I gain by attending the Webinar?

By attending the webinar, you’ll gain expert insights on the fundamentals of data engineering and artificial intelligence. 

Frequently Asked Questions

What is the cost of attending this webinar?

The GUVI webinar is completely free of cost to attend for the first 50 registrations. Just join this webinar by filling in the details & registering for free.

What is the duration of this Webinar?

The GUVI webinar would start from 7 PM onwards. It is an online webinar session.

What will I gain by attending the Webinar?

By attending the webinar, you’ll gain expert insights on the fundamentals of data engineering and artificial intelligence. 

Introduction to AI and Data Engineering

October 25, 2024

7 PM

2 hrs

25 th June

6PM TO 8PM

I'm Interested, Register Now

Join for Rs 999 FREE

Register Now

Introduction to AI and Data Engineering

October 25, 2024

7 PM

2 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
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