Generative AI with Python and GCP Course in Pakistan

Generative AI with Python and GCP Course in Pakistan

The Most Comprehensive Certification Course for Guaranteed Career Success

30K+ Enrolled

Refer & Earn

Explore the potential of Generative Artificial Intelligence (AI) with our Simpliaxis comprehensive course on leveraging Python and Google Cloud Platform (GCP). This course is designed for aspiring data scientists, machine learning engineers, and AI enthusiasts who want to delve into the realm of generative AI and harness its power for various applications.

Refer & Earn

Guranteed to Run Workshops

Expert-Led Study Sessions

Networking Opportunities

Flexible Monthly Payment Plans

Real-World Case Studies

Hands-On Project Experience

OverviewSchedulesBenefitsCurriculumCorporate TrainingsTrainersFAQsReviews
  • 450K+

    Professionals trained

  • 250+

    Workshops every month

  • 20+

    Trainers

Course Overview

Explore the cutting-edge intersection of artificial intelligence and creativity with our Generative AI with Python and GCP course. In this comprehensive program, participants will delve into the fascinating realm of generative artificial intelligence (AI) and learn how to leverage the power of Python programming and Google Cloud Platform (GCP) for creating innovative AI applications.

Throughout the course, participants will gain a solid understanding of generative AI principles, including the underlying algorithms and techniques used to generate new content autonomously. They will master Python programming language essentials and explore its libraries and frameworks crucial for building generative AI models. Additionally, participants will familiarize themselves with GCP services and tools essential for developing, deploying, and scaling AI applications in the cloud.

From building and fine-tuning advanced generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to deploying models on GCP infrastructure, participants will gain hands-on experience and practical insights into the entire generative AI development process. By the end of the course, participants will be equipped with the skills and knowledge to develop intelligent, creative AI applications that push the boundaries of innovation in various domains.

Explore the cutting-edge intersection of artificial intelligence and creativity with our Generative AI with Python and GCP course. In this comprehensive program, participants will delve into the fascinating realm of generative artificial intelligence (AI) and learn how to leverage the power of Python programming and Google Cloud Platform (GCP) for creating innovative AI applications.

Throughout the course, participants will gain a solid understanding of generative AI principles, including the underlying algorithms and techniques used to generate new content autonomously. They will master Python programming language essentials and explore its libraries and frameworks crucial for building generative AI models. Additionally, participants will familiarize themselves with GCP services and tools essential for developing, deploying, and scaling AI applications in the cloud.

From building and fine-tuning advanced generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to deploying models on GCP infrastructure, participants will gain hands-on experience and practical insights into the entire generative AI development process. By the end of the course, participants will be equipped with the skills and knowledge to develop intelligent, creative AI applications that push the boundaries of innovation in various domains.

Key Features

  • Develop a GenAI Bot in Python with Flask
  • Understand the fundamental concepts of Generative AI from a Developer's perspective
  • Learn about Prompt Engineering best practices
  • Hands on AI Tools Experiences
  • Life Time Course access
  • Certificate of Completion

Excellent

30K++ Enrolled

Request more details

  • Afghanistan (+93)
  • Albania (+355)
  • Algeria (+213)
  • Andorra (+376)
  • Angola (+244)
  • Argentina (+54)
  • Armenia (+374)
  • Australia (+61)
  • Austria (+43)
  • Azerbaijan (+994)
  • Bahrain (+973)
  • Bangladesh (+880)
  • Belarus (+375)
  • Belgium (+32)
  • Benin (+229)
  • Bermuda (+1)
  • Bolivia (+591)
  • Botswana (+267)
  • Brazil (+55)
  • Bulgaria (+359)
  • Cambodia (+855)
  • Cameroon (+237)
  • Canada (+1)
  • Central African Republic (+236)
  • Chile (+56)
  • China (+86)
  • Colombia (+57)
  • Croatia (HR)
  • Cuba (+53)
  • Cyprus (+357)
  • Czech Republic (+420)
  • Denmark (+45)
  • Egypt (+20)
  • Estonia (+372)
  • Ethiopia (+251)
  • Fiji (+679)
  • Finland (+358)
  • France (+33)
  • Georgia (+995)
  • Germany (+49)
  • Ghana (+233)
  • Greece (+30)
  • Hong Kong (+852)
  • Hungary (+36)
  • Iceland (+354)
  • India (+91)
  • Indonesia (+62)
  • Iran (+98)
  • Iraq (+964)
  • Ireland (+353)
  • Israel (+972)
  • Italy (+39)
  • Jamaica (+1)
  • Japan (+81)
  • Jordan (+962)
  • Kenya (+254)
  • Kuwait (+965)
  • Latvia (+371)
  • Lebanon (+961)
  • Liberia (+231)
  • Libya (+218)
  • Lithuania (+370)
  • Luxembourg (+352)
  • Malaysia (+60)
  • Maldives (+960)
  • Malta (+356)
  • Mexico (+52)
  • Mongolia (+976)
  • Montenegro (+382)
  • Myanmar (+95)
  • Nepal (+977)
  • Netherlands (+31)
  • New Zealand (+64)
  • Nigeria (+234)
  • North Korea (+850)
  • Northern Ireland (+44)
  • Norway (+47)
  • Oman (+968)
  • Pakistan (+92)
  • Panama (+507)
  • Papua New Guinea (+675)
  • Paraguay (+595)
  • Peru (+51)
  • Philippines (+63)
  • Poland (+48)
  • Portugal (+351)
  • Qatar (+974)
  • Reunion (+262)
  • Romania (+40)
  • Russia (+7)
  • San Marino (+378)
  • Saudi Arabia (+966)
  • Senegal (+221)
  • Serbia (+381)
  • Singapore (+65)
  • Slovakia (+421)
  • Slovenia (+386)
  • Somalia (+252)
  • South Africa (+27)
  • South Korea (+82)
  • South Sudan (+211)
  • Spain (+34)
  • Sri Lanka (+94)
  • Sudan (+249)
  • Sweden (+46)
  • Switzerland (+41)
  • syria (+963)
  • Taiwan (+886)
  • Tanzani (+255)
  • Thailand (+66)
  • Tunisia (+216)
  • Turkey (+90)
  • UAE (+971)
  • Uganda (+256)
  • Ukraine (+380)
  • United Kingdom (+44)
  • Uruguay (+598)
  • USA (+1)
  • Uzbekistan (+998)
  • Venezuela (+58)
  • Vietnam (+84)
  • Yemen (+967)
  • Zambia (+260)
  • Zimbabwe (+263)
  • Afghanistan (+93)
  • Albania (+355)
  • Algeria (+213)
  • Andorra (+376)
  • Angola (+244)
  • Argentina (+54)
  • Armenia (+374)
  • Australia (+61)
  • Austria (+43)
  • Azerbaijan (+994)
  • Bahrain (+973)
  • Bangladesh (+880)
  • Belarus (+375)
  • Belgium (+32)
  • Benin (+229)
  • Bermuda (+1)
  • Bolivia (+591)
  • Botswana (+267)
  • Brazil (+55)
  • Bulgaria (+359)
  • Cambodia (+855)
  • Cameroon (+237)
  • Canada (+1)
  • Central African Republic (+236)
  • Chile (+56)
  • China (+86)
  • Colombia (+57)
  • Croatia (HR)
  • Cuba (+53)
  • Cyprus (+357)
  • Czech Republic (+420)
  • Denmark (+45)
  • Egypt (+20)
  • Estonia (+372)
  • Ethiopia (+251)
  • Fiji (+679)
  • Finland (+358)
  • France (+33)
  • Georgia (+995)
  • Germany (+49)
  • Ghana (+233)
  • Greece (+30)
  • Hong Kong (+852)
  • Hungary (+36)
  • Iceland (+354)
  • India (+91)
  • Indonesia (+62)
  • Iran (+98)
  • Iraq (+964)
  • Ireland (+353)
  • Israel (+972)
  • Italy (+39)
  • Jamaica (+1)
  • Japan (+81)
  • Jordan (+962)
  • Kenya (+254)
  • Kuwait (+965)
  • Latvia (+371)
  • Lebanon (+961)
  • Liberia (+231)
  • Libya (+218)
  • Lithuania (+370)
  • Luxembourg (+352)
  • Malaysia (+60)
  • Maldives (+960)
  • Malta (+356)
  • Mexico (+52)
  • Mongolia (+976)
  • Montenegro (+382)
  • Myanmar (+95)
  • Nepal (+977)
  • Netherlands (+31)
  • New Zealand (+64)
  • Nigeria (+234)
  • North Korea (+850)
  • Northern Ireland (+44)
  • Norway (+47)
  • Oman (+968)
  • Pakistan (+92)
  • Panama (+507)
  • Papua New Guinea (+675)
  • Paraguay (+595)
  • Peru (+51)
  • Philippines (+63)
  • Poland (+48)
  • Portugal (+351)
  • Qatar (+974)
  • Reunion (+262)
  • Romania (+40)
  • Russia (+7)
  • San Marino (+378)
  • Saudi Arabia (+966)
  • Senegal (+221)
  • Serbia (+381)
  • Singapore (+65)
  • Slovakia (+421)
  • Slovenia (+386)
  • Somalia (+252)
  • South Africa (+27)
  • South Korea (+82)
  • South Sudan (+211)
  • Spain (+34)
  • Sri Lanka (+94)
  • Sudan (+249)
  • Sweden (+46)
  • Switzerland (+41)
  • syria (+963)
  • Taiwan (+886)
  • Tanzani (+255)
  • Thailand (+66)
  • Tunisia (+216)
  • Turkey (+90)
  • UAE (+971)
  • Uganda (+256)
  • Ukraine (+380)
  • United Kingdom (+44)
  • Uruguay (+598)
  • USA (+1)
  • Uzbekistan (+998)
  • Venezuela (+58)
  • Vietnam (+84)
  • Yemen (+967)
  • Zambia (+260)
  • Zimbabwe (+263)

Course Overview

Course Overview

Explore the cutting-edge intersection of artificial intelligence and creativity with our Generative AI with Python and GCP course. In this comprehensive program, participants will delve into the fascinating realm of generative artificial intelligence (AI) and learn how to leverage the power of Python programming and Google Cloud Platform (GCP) for creating innovative AI applications.

Throughout the course, participants will gain a solid understanding of generative AI principles, including the underlying algorithms and techniques used to generate new content autonomously. They will master Python programming language essentials and explore its libraries and frameworks crucial for building generative AI models. Additionally, participants will familiarize themselves with GCP services and tools essential for developing, deploying, and scaling AI applications in the cloud.

From building and fine-tuning advanced generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to deploying models on GCP infrastructure, participants will gain hands-on experience and practical insights into the entire generative AI development process. By the end of the course, participants will be equipped with the skills and knowledge to develop intelligent, creative AI applications that push the boundaries of innovation in various domains.

Generative AI with Python and GCP Training Highlights

Key Features

Develop a GenAI Bot in Python with Flask

Understand the fundamental concepts of Generative AI from a Developer's perspective

Learn about Prompt Engineering best practices

Hands on AI Tools Experiences

Life Time Course access

Certificate of Completion

course schedules

Schedules for Generative AI with Python and GCP Training in Pakistan

Oh! We recently winded up one batch in your region, but no worries. We have a few more in the coming weeks.
Just request the schedule for the updates about dates, prices, and curriculum with your preferences!

Common attendees

Who usually attend Generative AI with Python and GCP Training

  • Data Scientists
  • Machine Learning Engineers
  • AI Enthusiasts interested in exploring the creative AI technology
  • Professionals seeking to leverage Python

Need More information?

Ready for your next professional milestone? We’re here to guide you.

Curriculum

Generative AI with Python and GCP Course Curriculum in Pakistan

COURSE Curriculum

Generative AI with Python and GCP Course Curriculum in Pakistan

  • Understanding Generative AI concepts and applications
  • Overview of Python programming for AI development
  • Introduction to Google Cloud Platform (GCP) for AI projects

  • Fundamentals of Python programming language
  • Data manipulation and visualization with NumPy and Matplotlib
  • Introduction to TensorFlow and Keras for deep learning

  • Overview of generative models: GANs, VAEs, and more
  • Implementing basic generative models in Python
  • Hands-on exercises: Building simple generative models

  • Understanding Generative Adversarial Networks (GANs) architecture
  • Training GANs for image generation tasks
  • Fine-tuning GANs for specific applications

  • Introduction to Variational Autoencoders (VAEs)
  • Implementing VAEs for image generation and manipulation
  • Hands-on exercises: Building and training VAEs

  • Introduction to Google Cloud Platform (GCP) services for AI
  • Setting up a GCP environment for model deployment
  • Deploying generative AI models on GCP infrastructure

  • Transfer learning for generative models
  • Multi-modal generation with advanced techniques
  • Ethical considerations in generative AI development

  • Use cases of generative AI across various industries
  • Case studies showcasing successful generative AI applications
  • Final project: Developing a generative AI application using Python and GCP

  • Hands-on project work under instructor guidance
  • Peer review and feedback sessions
  • Final project presentation and evaluation

  • Final assessment and certification eligibility
  • Career pathways and further learning opportunities in generative AI
  • Course conclusion and next steps for participants

Need More information?

Looking to advance in your career? Your journey to professional excellence starts here.

What you will learn in this Generative AI with Python and GCP workshop

Learning Objectives

Gain foundational knowledge of generative AI principles:

This involves understanding the fundamental concepts and theories behind generative artificial intelligence (AI), which focuses on creating new data or content rather than simply analyzing existing data. This includes learning about various algorithms, techniques, and architectures used in generative AI.

Master Python and its libraries for AI development:

Python is a widely-used programming language in the field of AI due to its simplicity, versatility, and extensive libraries. Mastering Python and libraries such as TensorFlow, PyTorch, Keras, and NumPy is crucial for implementing generative AI models effectively.

Familiarize themselves with Google Cloud Platform (GCP):

Google Cloud Platform is a suite of cloud computing services offered by Google, including storage, computing, machine learning, and data analytics. Familiarity with GCP enables practitioners to leverage its resources for developing, deploying, and scaling AI applications, including generative models.

Implement popular generative models like GANs and VAEs:

Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) are two popular classes of generative models used in AI. Learning to implement these models involves understanding their architectures, training procedures, and applications in generating realistic data, such as images, text, and audio.

Prerequisites for Generative AI with Python and GCP certification training

Prerequisites and Eligibility

  • Basic understanding of Python programming language.
  • Familiarity with fundamental machine learning concepts.
  • Basic knowledge of cloud computing concepts (recommended but not mandatory).

Why SimpliAxis Is The First Choice For Corporates?

Simpliaxis provides In person and live virtual instructor-led corporate training program customized for enterprise teams who wish to train their employees on specific aspects of their job processes or responsibilities. The corporate training by our expert certified trainers will enhance your learning curve and enable your teams to utilize their skills to meet the industry standards.

  • 40+ Certification programs made an impact

     
  • Employee retention improved by 45%

  • Work satisfaction and capabilities improved by 30% on an average

100+

Clients

#############

Generative AI with Python and GCP Certification COURSE For Corporates

Why SimpliAxis Is The First Choice For Corporates?

Simpliaxis provides In person and live virtual instructor- led corporate training program customized for enterprise teams who wish to train their employees on specific aspects of their job processes or responsibilities. The corporate training by our expert certified trainers will enhance your learning curve and enable your teams to utilize their skills to meet the industry standards

  • The tool-based learning, guiding, tracking, and grading Customized curriculum as per the team's and company's needs.
  • Customized curriculum as per the team's and company's needs
  • A pool of consultants catering to the work experience across industries.
  • Flexibility in learning- Online, Offline, and Self paced learning
  • The global presence and can train the teams across the geographies.

Our Customer words for us

Take a Look at Our Clients

Our Generative AI with Python and GCP Training Trainers

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects. Candidates are free to ask any questions at any time.

  • More than 15+ Years of Experience.
  • Trained more than 5000+students.
  • Experience in Training Global Students.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced in multiple real-time projects in their Industries.

Meet the Team That's Invested in Your Success

Our Generative AI with Python and GCP Training Trainers

Instructors

View All Trainers

Frequently Asked Questions

Request more details

By providing your contact details, you agree to our Privacy Policy

Generative AI with Python and GCP Course FAQs

Frequently Asked Questions

Generative AI is the subset of artificial intelligence focused on autonomously creating new content, such as images, text, or music. It's essential because it enables machines to exhibit creativity, opening doors to various applications in art, design, healthcare, and more.

This course is designed for data scientists, machine learning engineers, AI enthusiasts, and professionals interested in exploring generative AI with Python and Google Cloud Platform (GCP). It's suitable for individuals with basic Python knowledge and a curiosity for cutting-edge AI technologies.

Participants should have a basic understanding of Python programming and fundamental concepts of machine learning. Familiarity with cloud computing concepts, while not mandatory, can be beneficial.

You'll learn the fundamentals of generative AI, how to implement generative models like GANs and VAEs using Python, and how to deploy these models on the Google Cloud Platform. Additionally, you'll explore real-world applications of generative AI across various industries.

The course is delivered online through video lectures, hands-on exercises, quizzes, and assignments. Participants have the flexibility to study at their own pace and access course materials from anywhere with an internet connection.

Participants will have access to course materials, including lecture videos, code examples, supplementary readings, and a dedicated online community for discussions and support. Additionally, instructors will provide guidance and feedback throughout the course.

Yes, participants who successfully complete the course requirements, including assessments and projects, will receive a certificate of completion from Simpliaxis, recognizing their proficiency in Generative AI with Python and GCP.

The course is designed to be completed approximately. However, participants have the flexibility to adjust their learning pace based on their schedules and commitments.

While we accept payments in various currencies, we recommend using the currency from where you want to attend the course.

Payments can be made conveniently through our secure online payment portal on our website. We do not require visiting a physical location for payment.

Yes, we offer discounts and promotions for early payments or certain corporate Training. Keep an eye on our website or contact us to get exciting offers.

You have the flexibility to pay for the course either in full upfront or in installments, depending on your preference. To know more details about it contact us.

No, refund is not possible. You can reschedule your course. To know more about refunds, visit our Refund Policy.

Upon successful completion of payment, you will receive a confirmation email of your payment along with payment invoices.

No, there is no transaction processing fee.

We accept payments from VISA, Master, Maestro, AMEX, and Discover.

All types of payment methods are available. You can pay Online through Credit Cards, Debit Cards and Net Banking, Direct Bank Transfer/Wire Transfer/Wallet to our account and many more.Other payment options available are stripe, Splitit, PayPal for US & CA regions.

No, you won't get your money back. But, as per your convenience, we can reschedule your training without any extra charges.

If you want to know more about the course you can connect us in mail hello@simpliaxis.com or you can call us.

English is the preferred language for training delivery. For corporate Training, any language other than English will have to be requested as a custom service. However, this will be subject to additional costs and the availability of a native language trainer. Please note that only official languages will be considered for this request.

Yes, we’ll be posting multiple schedules every week for all the courses. Based on your convenience, you can select the training schedule. Also, we’ve E-Learning programs for popular courses, you can enroll and watch the training modules whenever you want.

Select the course of your interest from the website and view all the upcoming workshop schedules. You can select your course from the website https://www.simpliaxis.com/

Yes, you can change the date, but you have to inform it 3-4 days before the Scheduled date.

Yes, you will receive a certificate after successful completion of the training course.

Choose the course of your interest, schedule it at your convenience from our upcoming schedule list, and register for the training by submitting your details. Proceed to make a payment and you will receive a confirmation email of your course enrolment. Or you can connect our career advisors to consult & choose your course.

At Simpliaxis we provide training for courses of all the in-demand technologies. One can choose a course from Project Management, Agile, IT, DevOps, Business, IT Service Management, Quality Management, etc based on their choice of interest. To know more, please visit https://www.simpliaxis.com/

We provide different modes of Training: virtual Online Training, Live Virtual Training, Corporate Training & also E-learning.

Yes, For every course, online Training is available.

Yes, we do provide corporate Training. We customize Training based on our clients' needs.

All our trainers are highly qualified and certified, having numerous years of experience in the training industry. You can choose your instructors for your course.

Yes, we do provide discounts on multiple courses. Please visit the schedules page to view the available discounts.

You can reach out to our experienced career counselor
or email us on support@simpliaxis.com
or contact any of our phone numbers
or you can chat with us anytime
or visit our contact us page https://www.simpliaxis.com/contact-us

Yes, course fees for all technologies are affordable. Along with that, we do provide discounts on various courses.

Simpliaxis offers personalized corporate training programs designed for enterprise teams seeking to refine their employees' skills in various job processes or roles, whether through in-person sessions or live virtual instruction. Led by our skilled and certified trainers, these certification programs not only elevate learning curves but also empower teams to effectively apply their newfound skills to meet industry benchmarks. With over 40 certification programs available, the impact is profound, evident in a remarkable 45% improvement in employee retention rates. On average, there's been a notable 30% enhancement in both work satisfaction and capabilities, showcasing the tangible benefits of our training initiatives.

To provide high-quality training and help our professional participants & clients to build a high-performing workforce.

It totally depends upon the course. Please check our website regularly for new offers and discounts throughout the year. You can also chat with one of our career consultants to see if any discounts are available.

Our Customer words for us

Find out why 1,000+ professionals love SimpliAxis

View All Reviews

Benefits of Generative AI with Python and GCP Training in Pakistan

  • Enhanced Innovation and Creativity: Employees who complete this course bring innovative skills in generative AI, enabling them to develop creative solutions for various business challenges. They can generate new ideas, designs, and content using advanced AI techniques, fostering innovation within the organization.

  • Improved Product Development: With a deeper understanding of generative AI principles and techniques, employees can contribute to enhancing product development processes. They can create AI-powered features, designs, and personalized content, enhancing product and service quality and user experience.

  • Cost and Time Savings: By leveraging Python and Google Cloud Platform for AI development, organizations can streamline processes and reduce development time and costs. Trained employees can efficiently build, train, and deploy generative AI models, optimizing resource utilization and accelerating time-to-market for AI-powered solutions.

  • Competitive Advantage: Organizations that invest in generative AI training gain a competitive edge in the market. Employees with certified skills in Python and GCP can develop cutting-edge AI applications that differentiate the company from competitors. This enables the organization to stay ahead in the rapidly evolving landscape of AI technology.

  • Talent Retention and Recruitment: Offering employees the opportunity to gain expertise in generative AI through certification demonstrates a commitment to their professional development. This fosters a culture of learning and growth, leading to higher employee satisfaction and retention. Additionally, having certified professionals in generative AI can attract top talent seeking opportunities to work with innovative technologies.

giftbox

Sharing Knowledge is Rewarding! Earn Big with Every Referral UPTO 60% OFF

Our privacy policy © 2018-2024, Simpliaxis Solutions Private Limited. All Rights Reserved

Get coupon upto 60% off