Embark on a transformative journey with our Applied Generative AI Specialization program. Dive into state-of-the-art techniques, acquire in-demand skills, and earn a certificate upon completion.
Program certificate from Purdue University Online and Simplilearn
Become eligible for a membership at the Purdue University Alumni Association
50+ hours of core curriculum delivered in live online classes by industry experts
Masterclasses delivered by Purdue faculty and staff
Gain exposure to ChatGPT, OpenAI, DALL-E 2, Hugging Face and other tools
Build Generative AI-enabled applications through hands-on projects
Strengthen your resume and get career guidance from industry specialists
Attend mock interview sessions to help you ace the hard technical questions
A Generative AI Developer is a specialized type of AI professional focused on designing, developing, and implementing generative AI models and algorithms. These models and algorithms are used to create new data samples, patterns, or content based on existing data or inputs.
Get started with this Applied Generative Specialization Program and explore everything about this unique learning journey covering all the concepts of the generative AI domain you need to boost your career.
Comprehend procedural and OOP concepts. Install Python and IDEs. Master Jupyter Notebook usage. Implement identifiers, indentations, and comments. Learn Python data types, operators, and string handling. Understand Python loop types. Explore variable scope in functions and OOP characteristics.
Build expertise in cutting-edge areas like generative AI, prompt engineering, and ChatGPT. Acquire hands-on skills for real-world business applications. Efficiently apply generative AI technologies. Master prompt engineering's significance in tailored output production.
Unlock the creative potential of artificial intelligence with this Generative AI course. Dive into the fascinating world of generative models, including Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), and explore the revolutionary Large Language Models (LLMs) and Transformer architectures. Delve deep into attention mechanisms and learn how they enhance the capabilities of AI models.
Explore the intricacies of LangChain Workflow Design, mastering the art of orchestrating language generation processes. Dive deep into Advanced Prompt Engineering, honing your ability to craft prompts that elicit desired responses from AI models. Learn the ins and outs of Large Language Model (LLM) Application Development, harnessing the power of cutting-edge language models for diverse applications. Discover the nuances of fine-tuning, and refining LLMs to suit specific tasks and domains.
Explore the cutting-edge capabilities of Generative AI in image generation with our specialized course. Delve into Stable Diffusion and Denoising techniques, mastering the art of producing high-quality, coherent images from noisy data. Unlock the potential of Shared Embedding Systems, enabling seamless integration and representation of diverse image features. Learn Contrastive Learning Techniques to effectively enhance model performance by leveraging data similarities and differences.
Understand the Significance of AI Governance. Address Governance Challenges in Generative AI. Explore Ethical Principles in AI. Establish Governance Structures and Committees. Manage Risks in AI Projects. Integrate Governance into the AI Project Lifecycle. Navigate the Evolving Regulatory Landscape. Explore Future Trends in AI Governance.
Pay in Installments
As low asYou can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.
Tell us a bit about yourself and why you want to do this program
An admission panel will shortlist candidates based on their application
Selected candidates can begin the program within 1-2 weeks
Generative Artificial Intelligence (Generative AI) is poised for exponential growth, fueled by staggering projections and its transformative potential across industries. By 2030, the Generative AI market is anticipated to surge by an astounding $667.9 billion, representing a remarkable 24.4% projected annual growth rate (CAGR) from 2023 to 2030. This growth trajectory underscores the increasing adoption and integration of Generative AI technologies into various sectors of the economy.
The impact of Generative AI extends far beyond market size. It is projected to contribute a substantial $4.4 trillion to the global economy annually. Such a significant contribution underscores the pivotal role Generative AI is poised to play in driving innovation, efficiency, and economic growth worldwide.
Applied generative AI refers to using generative AI techniques to solve specific problems and create practical applications. It takes the ability of generative AI to develop new content and apply it to real-world challenges in various fields, like designing new materials, generating realistic simulations, or even personalizing products.
You must meet the following requirements to join the online Applied Generative AI Specialization program:
There is a high demand for generative AI, and the market is expected to surge by an astounding $667.9 billion by 2030. Generative AI is expected to contribute a substantial $4.4 trillion to the global economy annually. This highlights the growing importance of generative AI and the need for professionals with expertise in this field. An applied generative AI course can help you acquire the necessary skills to be successful in this field.
You can pay for this Applied Generative AI course in 12 monthly installments using Splitit, Climb Credit, or Klarna with low APRs and no hidden fees.
The target audience for this applied generative AI course is software engineers, IT professionals, data professionals, product managers, business analysts, and AI/ML engineers. The program is designed for those with a basic understanding of coding concepts and mathematics and at least two years of professional work experience.
According to the webpage, this course covers various topics related to generative AI, including prompt engineering, large language models, attention mechanisms, LLM application development, and LLM fine-tuning. Other topics covered in the course include:
Purdue University is a top public research institution developing practical solutions to today’s toughest challenges. Ranked in each of the last four years as one of the 10 Most Innovative Universities in the United States by U.S. News & World Report, Purdue delivers world-changing research and discovery.
Purdue University Online has partnered with Simplilearn to deliver various online professional programs. Simplilearn’s award-winning immersive learning model focuses on applied learning experiences intended to create immediate impact.