GenAI for Data Scientists: Master Generative AI Techniques
Master the intricacies of Generative AI with our specialized course designed for data scientists. Engage with expert-led sessions that include hands-on experience in building and optimizing generative models. Enroll today to harness the power of Generative AI for transformative data analysis and innovative business solutions.
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What you'll learn
- Implement best practices in data preprocessing for training generative models
- Understand the foundational concepts and impact of Generative AI in data science
- Learn to use key tools and platforms like TensorFlow, PyTorch, and Hugging Face
- Fine-tune and optimize generative models for specific data science tasks
- Integrate Generative AI into existing workflows to enhance decision-making processes
- Build basic to advanced generative models through guided hands-on exercises
- Explore ethical considerations and address potential biases in model deployment
- Complete a capstone project applying learned skills to a real-world generative AI challenge
Why should you attend?
This course offers a deep dive into the realm of Generative AI, focusing on its application within the field of data science. Starting with an introduction to Generative AI technologies, students will explore the significant impact these technologies have on data science and understand how they differ from traditional models. The program progresses to cover essential tools and platforms such as TensorFlow, PyTorch, JAX, Hugging Face, OpenAI, Anthropic, and Meta, which support the development of Generative AI solutions. As the course advances, participants will engage in practical exercises including data handling and preprocessing tailored for generative models. This includes best practices for data collection and cleaning as well as creating synthetic datasets. Hands-on labs provide step-by-step guidance on building simple generative models with applications in text and image generation. Further exploration into advanced models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) is included, highlighting their use in synthetic data generation for training machine learning models. The latter part of the course addresses fine-tuning techniques, ethical considerations, limitations of generative AI, and its integration into existing data pipelines. Participants will also learn about scaling generative models for larger datasets and high-performance computing resources. The curriculum culminates in a capstone project where participants apply their acquired skills to solve a real-world problem using generative AI, alongside discussions on future trends in this rapidly evolving field.
Course Syllabus
Day 1 - GenAI Fundamentals & Models
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Business Applications & Integration
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Ratings and Reviews
Instructor
Instructor
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
Instructor
Instructor
Instructor
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
FAQ
Frequently Asked Questions About This Course
Why should you attend?
This course offers a deep dive into the realm of Generative AI, focusing on its application within the field of data science. Starting with an introduction to Generative AI technologies, students will explore the significant impact these technologies have on data science and understand how they differ from traditional models. The program progresses to cover essential tools and platforms such as TensorFlow, PyTorch, JAX, Hugging Face, OpenAI, Anthropic, and Meta, which support the development of Generative AI solutions. As the course advances, participants will engage in practical exercises including data handling and preprocessing tailored for generative models. This includes best practices for data collection and cleaning as well as creating synthetic datasets. Hands-on labs provide step-by-step guidance on building simple generative models with applications in text and image generation. Further exploration into advanced models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) is included, highlighting their use in synthetic data generation for training machine learning models. The latter part of the course addresses fine-tuning techniques, ethical considerations, limitations of generative AI, and its integration into existing data pipelines. Participants will also learn about scaling generative models for larger datasets and high-performance computing resources. The curriculum culminates in a capstone project where participants apply their acquired skills to solve a real-world problem using generative AI, alongside discussions on future trends in this rapidly evolving field.
What you'll learn
- Implement best practices in data preprocessing for training generative models
- Understand the foundational concepts and impact of Generative AI in data science
- Learn to use key tools and platforms like TensorFlow, PyTorch, and Hugging Face
- Fine-tune and optimize generative models for specific data science tasks
- Integrate Generative AI into existing workflows to enhance decision-making processes
- Build basic to advanced generative models through guided hands-on exercises
- Explore ethical considerations and address potential biases in model deployment
- Complete a capstone project applying learned skills to a real-world generative AI challenge
Course Syllabus
Day 1 - GenAI Fundamentals & Models
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Business Applications & Integration
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructors
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
FAQ
Frequently Asked Questions About This Course
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