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Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

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SAP S4 HANA - Finance

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Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

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Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

$400

326:00:00 Hours

Last updated Fri, 18-Oct-2024

Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
11 Lessons 326:00:00 Hours English
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
Outcomes:
  • Knowledge-Based Outcomes : Understanding of Generative AI Concepts: Explain the fundamental principles of generative AI and differentiate between generative and discriminative models. Describe various types of generative models, including VAEs, GANs, and Transformer-based models.
  • Skill-Based Outcomes Practical Implementation: Implement basic generative models (e.g., GANs, VAEs) using popular frameworks like TensorFlow or PyTorch. Conduct data preprocessing, model training, and evaluation of generative models.
  • Hands-On Project Development: Design and develop a project that applies generative AI techniques to a real-world problem (e.g., image generation, text synthesis). Present and demonstrate the outcomes of the project to peers, showcasing both technical skills and creative applications.
  • Real-World Application: Apply generative AI techniques to various domains, such as art, music, healthcare, and natural language processing. Explore and implement advanced applications of generative AI, such as deepfakes, style transfer, or automated content generation.
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Instructor Led Online Training - SAP S4 HANA FICO

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SAP S4HANA FICO Training | SAP S4HANA Finance Training | SAP S4HANA Controlling Training - Delivered by Subject Matter Expert

$320

$400

125:00:00 Hours

Last updated Mon, 21-Oct-2024

Instructor Led Online Training - SAP S4 HANA FICO
3 Lessons 125:00:00 Hours English
SAP S4HANA FICO Training | SAP S4HANA Finance Training | SAP S4HANA Controlling Training - Delivered by Subject Matter Expert
Outcomes:
  • Knowledge-Based Outcomes : Understanding of Generative AI Concepts: Explain the fundamental principles of generative AI and differentiate between generative and discriminative models. Describe various types of generative models, including VAEs, GANs, and Transformer-based models.
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Instructor Led Online Training - SAP S4 HANA FICO

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SAP S4HANA FICO Training | SAP S4HANA Finance Training | SAP S4HANA Controlling Training - Delivered by Subject Matter Expert

$320

$400

125:00:00 Hours

Last updated Mon, 21-Oct-2024

Instructor Led Online Training - SAP S4 HANA FICO
3 Lessons 125:00:00 Hours English
SAP S4HANA FICO Training | SAP S4HANA Finance Training | SAP S4HANA Controlling Training - Delivered by Subject Matter Expert
Outcomes:
  • Knowledge-Based Outcomes : Understanding of Generative AI Concepts: Explain the fundamental principles of generative AI and differentiate between generative and discriminative models. Describe various types of generative models, including VAEs, GANs, and Transformer-based models.
Remove from cart Add to cart

Advanced

Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

0

(0 Reviews)

Compare

Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

$400

326:00:00 Hours

Last updated Fri, 18-Oct-2024

Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
11 Lessons 326:00:00 Hours English
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
Outcomes:
  • Knowledge-Based Outcomes : Understanding of Generative AI Concepts: Explain the fundamental principles of generative AI and differentiate between generative and discriminative models. Describe various types of generative models, including VAEs, GANs, and Transformer-based models.
  • Skill-Based Outcomes Practical Implementation: Implement basic generative models (e.g., GANs, VAEs) using popular frameworks like TensorFlow or PyTorch. Conduct data preprocessing, model training, and evaluation of generative models.
  • Hands-On Project Development: Design and develop a project that applies generative AI techniques to a real-world problem (e.g., image generation, text synthesis). Present and demonstrate the outcomes of the project to peers, showcasing both technical skills and creative applications.
  • Real-World Application: Apply generative AI techniques to various domains, such as art, music, healthcare, and natural language processing. Explore and implement advanced applications of generative AI, such as deepfakes, style transfer, or automated content generation.
Remove from cart Add to cart

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