DeepSeek & Generative AI Masterclass for Software engineers

Learn AI/ML, Deep Learning, Generative AI & DeepSeek Architecture and internals with hands-on prompting and API access

What you'll learn
Artificial Intelligence : Basics of AI. Key Concepts of AI, AI/ML Differences, Deep Learning. Real life examples of AI, ML, Deep Learning and Generative AI.
Generative AI Internals : GPT (Generative Pre-trained Transformer), Gen AI timeline, Democratization of AI
DeepSeek : Effective Prompts to improve productivity. Build career - Create resume and prepare for interview. 1000+ Prompts with practical examples
DeepSeek Internals and DeepSeek Architecture
DeepSeek Benchmark comparison, Multi-head Latent Attention (MLA), Mixture-of-Experts (MoE), auxiliary-loss-free strategy, and multi-token prediction
DeepSeek Post training : Reinforcement Learning, Supervised learning, Chain-of-Thought (CoT), Distillation
DeepSeek : Programmatically access DeepSeek APIs, with AWS Bedrock, LM Studio

Requirements
Basic software engineering concepts

Description
Unlock the full potential of DeepSeek with our comprehensive Udemy course, meticulously designed to guide you from foundational concepts to advanced applications in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Generative AI.Course Overview:Foundations of AI and ML: Begin your journey by understanding the core principles of AI and ML, setting a solid groundwork for more complex topics.Deep Learning and Generative AI: Delve into the intricacies of deep learning, exploring neural networks and their applications. Uncover the evolution and mechanics of generative AI, understanding how models like DeepSeek are revolutionizing content creation and problem-solving.Advanced AI Topics: Expand your knowledge with advanced subjects such as Reinforcement Learning, Tokenization, Temperature Scaling, Embeddings, and Foundation Models. Gain insights into the training methodologies of generative AI models and dissect the Transformer architecture that powers them.Hands-On DeepSeek Prompting: Transition from theory to practice with hands-on sessions focused on DeepSeek prompting. Learn to craft prompts ranging from basic to advanced levels, enhancing your skills in software development life cycle (SDLC) processes and career advancement.DeepSeek Internals and Architecture: Explore the technical marvel that is DeepSeek. Study its architecture in detail, including innovative techniques like Mixture of Experts, Multi-Head Latent Attention, Multi-Token Prediction, Distillation, Chain-of-Thought (CoT), Group Relative Policy Optimization (GRPO), and FP8. These lectures are enriched with insights from leading AI research papers.Programmatic Access to DeepSeek: Learn how to integrate DeepSeek into your projects programmatically. Gain proficiency in accessing DeepSeek through APIs, utilizing platforms like Amazon Bedrock and LM studio. Engage with practical examples and compare API costs with services like OpenAI's ChatGPT, understanding DeepSeek's cost-effective advantages.Why Choose This Course?Comprehensive Curriculum: From basics to advanced topics, this course covers all essential aspects of DeepSeek and its applications in AI.Practical Application: Engage in hands-on exercises that bridge the gap between theoretical knowledge and real-world application.Expert Insights: Learn from content derived from cutting-edge AI research, ensuring you receive up-to-date and relevant information.Cost Efficiency: Understand how DeepSeek offers a competitive edge with its cost-effective solutions compared to other AI models.Don't miss this opportunity to elevate your understanding of DeepSeek and Generative AI. Enroll now to unlock a world of hands-on examples, in-depth architectural insights, and practical knowledge on implementing this groundbreaking AI technology.Note: DeepSeek has been recognized for its innovative approach in AI, offering high-performance models at a fraction of the cost compared to competitors.

Who this course is for
Software Engineers
QA Engineers
Software Professionals
AI/ML Engineers
Data Scientists