Generative AI

Certificate

Generative AI

 Duration 4-6 weeks

 Language English

 Skill level Beginner

 Lectures 11

 Certificate Yes

 Full Lifetime access 

The goal of this certificate program is to explore basic and advanced concepts of generative AI. Effective application of generative AI ensures that models produce high-quality, relevant, and innovative outputs. The aim of the certificate program is to familiarize students with techniques needed to achieve these objectives. Basic topics and segments of generative AI that students will address in this course are: qualities of an effective AI practitioner, typical responsibilities in the AI field, selecting and preparing datasets, designing and training models, creating an AI development team, managing AI projects, quality control of AI outputs, risk management, and more.

During the certificate program, a variety of teaching methods will be used: from basic explanations of terms and concepts, exercises, working on case studies, individual work in applying the presented knowledge, and group/team work on AI projects.

Beyond mere description of theoretical lectures, the emphasis will be on practical work, where students will plan and manage an AI project that will culminate in a capstone project.

Certificate Price

EUR399
PURCHASE
The certificate program is appropriate for the students that wish to develop professionally, increase their generative AI skills, apply a formalized and standards-based approach to AI, and seek career advancement by moving into a formal AI specialist job role, as well as to apply for certifications in the field of generative AI.

You’ll also complete a Capstone project, demonstrating your ability to conduct a full AI project from beginning to end.

Overview

Overview

    Course start: Anytime
    Language: English
    Duration: 4-6 weeks (depends on your pace)
    Format: Online
    Commitment: 7 – 10 hours per week
    Certificate: Awarded by SSBM Geneva
    Fee: 399 EUR

LEARNING OBJECTIVES

At the end of this course, you will be able to:

  • Understand the Fundamentals: Explain the core concepts and principles underlying generative AI, including key algorithms and models.

  • Implement Generative Models: Develop and implement various generative AI models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers.

  • Generate Realistic Data: Create realistic synthetic data, including images, text, and audio, using generative AI techniques.

  • Optimize and Fine-Tune Models: Apply advanced techniques to optimize and fine-tune generative models for specific applications and improve their performance.

  • Evaluate Generative Models: Assess the quality and authenticity of outputs generated by AI models using quantitative and qualitative metrics.

  • Address Ethical Considerations: Identify and discuss the ethical implications and responsibilities associated with the use of generative AI.

  • Deploy Generative AI Solutions: Deploy generative AI models in practical applications and integrate them into existing systems.

  • Solve Real-World Problems: Apply generative AI to solve real-world problems in various domains such as art, entertainment, healthcare, and finance.

  • Stay Updated with Advances: Keep up-to-date with the latest advancements and research trends in generative AI to continuously enhance your knowledge and skills.

  • Collaborate Effectively: Work effectively in teams to design, implement, and evaluate generative AI projects, leveraging diverse skills and perspectives.

COURSE REQUIREMENTS

None.

CAPSTONE PROJECT

The course ends with the Capstone project which encompasses several techniques and methods used through various sections in the course.
Students are strongly advised to carefully go through the Capstone project to get more understanding how different tools/methods or techniques can be combined to create a successful project.

PROGRAM OUTLINE

  • Chapter 1 – Introduction to Generative AI
  • Chapter 2 Fundamentals of Generative AI
  • Chapter 3 – Deep Learning Architectures for Generative AI
  • Chapter 4 – Introduction to Prompt Engineering
  • Chapter 5 – Techniques and strategies for prompt engineering
  • Chapter 6 – Evaluation and iteration in prompt engineering
  • Chapter 7 – Natural language processing applications
  • Chapter 8 – Computer vision and image processing
  • Chapter 9 – Recommender systems and personalization
  • Chapter 10 – Applications of Generative AI in finance
  • Chapter 11 – Challenges and considerations in applying Generative AI to finance

TEACHING METHOD

This course is presented entirely online.
Modules can be completed in your own time and at your own pace.

This interactive, supportive teaching model is designed for busy professionals and results in unprecedented certification rates for online courses.

MATERIALS

All reading materials for this course will be made accessible to you through the SSBM Online Learning Portal. Notes for each module are often downloadable, and you are able to save your current learning status and continue whenever you like.

DIPLOMA

Upon successful completion of the certificate you will be awarded with a diploma delivered by STI.

Applied Learning Project

This certificate program has a strong emphasis on applied learning. 

The entire program ends with a capstone project where you will work on delivering a series of different documents that make every project a successful one.  Throughout this certificate program you will be exposed to a Capstone project that will provide you with practical skills with applicability to real jobs that employers value.

What will this certificate program bring to your career?

  • Build the Skills to Get Job Ready
  • Hands-On Project
  • Earn a Career Credential
  • Gain advanced skills in generative AI
  • Earn a recognized credential that demonstrates your expertise and commitment to professional development in the AI field
  • Apply generative AI skills across various industries such as technology, healthcare, finance
  • Complete a capstone project

Is this certificate for you?

This certificate program is designed for individuals who have experience with generative AI in a professional setting, whether or not their formal job role specifically involves AI. It is aimed at those who are not certified AI professionals and may or may not have received formal training in artificial intelligence.

What sets this certificate apart is its emphasis on the practical application of generative AI tools and techniques used in real-world scenarios. Unlike many other courses that focus heavily on theory, this program prioritizes hands-on experience.

By completing this certificate program, you will enhance your skills in generative AI, adopt a structured and standards-based approach to AI implementation, and position yourself for career growth, potentially moving into a formal AI specialist role.

Student Testimonials

  • I chose to study at SSBM, because it gives me flexibility to combine online and onsite learning.

    “
    GUSTAV LINDÉUS

  • The thing I like the most is definitely the possibility to organize studying time on my own, as well as the deadlines for all the projects. The whole program is very approachable and easy to follow.

    “
    FRANCIS OKOH

  • SSBM truly offers high quality education. The course material allows you to apply academic theory to real-world examples from the global business world in an easy manner.

    “
    JELENA PENAVA

  • I am quite impressed with the program, most importantly the quality of the education and the professors. It has been wonderful and I would recommend the program. I also gained and increased my productivity as a manager

    “
    INES BORCIC

  • I chose SSBM as an excellent continuation of my education and combining my professional knowledge with theory and practice of the lectures. SSBM allows flexibility with my personal life and professional life as well as achieving my goals.

    “
    EMMANUEL ENUBUOGIDI
Overview
Fee
Prerequisites 
Programme structure

The goal of this certificate program is to delve into both fundamental and advanced concepts of generative AI. Mastery of generative AI techniques allows for the creation of innovative content, models, and solutions across various fields. The aim of the certificate program is to equip students with the skills needed to harness the power of generative AI effectively. Key topics covered in the course include: understanding generative models, applications of AI in content creation, training and fine-tuning models, evaluating and improving AI outputs, ethical considerations in AI deployment, and integrating AI solutions into real-world scenarios.

Throughout the program, a diverse range of teaching methods will be employed: from foundational explanations of AI principles and techniques, to hands-on exercises, case studies, individual projects exploring the application of generative AI, and collaborative team projects. While theoretical concepts are introduced, the focus will be on practical application, culminating in a capstone project where students will design, implement, and demonstrate their own generative AI solution.

Fee

The total fee* for the certificate is: 399 EUR

*There are no other hidden costs.

Prerequisites

There are no formal prerequisites for this certificate program.

Programme structure

  • Chapter 1 – Introduction to Generative AI
  • Chapter 2 Fundamentals of Generative AI
  • Chapter 3 – Deep Learning Architectures for Generative AI
  • Chapter 4 – Introduction to Prompt Engineering
  • Chapter 5 – Techniques and strategies for prompt engineering
  • Chapter 6 – Evaluation and iteration in prompt engineering
  • Chapter 7 – Natural language processing applications
  • Chapter 8 – Computer vision and image processing
  • Chapter 9 – Recommender systems and personalization
  • Chapter 10 – Applications of Generative AI in finance
  • Chapter 11 – Challenges and considerations in applying Generative AI to finance

Course will cover each topic with several online video lectures. At the end you will have to do a practical project. After each lecture, students are strongly encouraged to practice the related topics of each lecture in corresponding lab exercises.

Purchase

To pay for the certificate go HERE.

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