Udemy – DeepSeek & Generative AI Masterclass for Software engineers 2025-2

DeepSeek & Generative AI Masterclass for Software engineers. This comprehensive course is designed for software engineers to explore the full potential of DeepSeek and learn from fundamental concepts to advanced applications in artificial intelligence (AI), machine learning (ML), deep learning, and generative AI. The course starts with the basics of AI and machine learning, preparing you for more complex topics. Then, you’ll delve into the intricacies of deep learning, neural networks, and their applications. You’ll explore the evolution and mechanics of generative AI, and understand how models like DeepSeek are transforming content generation and problem solving. You’ll learn advanced topics like reinforcement learning, tokenization, temperature scaling, embeddings, and foundational models. You’ll gain insights into methods for training generative AI models and the Transformer architecture that powers them. You’ll move from theory to practice with hands-on sessions focused on DeepSeek Prompting. You will learn how to build prompts from basic to advanced levels and enhance your skills in software development lifecycle (SDLC) processes and career advancement. You will explore the DeepSeek architecture in detail, including innovative techniques such as Mixture of Experts, Multi-Head Latent Attention, Multi-Token Prediction, Distillation, Chain-of-Thought (CoT), Group Relative Policy Optimization (GRPO), and FP8. These sessions are enriched with insights from leading research papers in AI. You will learn how to programmatically integrate DeepSeek into your projects. You will access DeepSeek through APIs and use platforms such as Amazon Bedrock and LM studio. You will engage with practical examples, compare API costs with services such as OpenAI’s ChatGPT, and understand the cost-effective benefits of DeepSeek.

What you will learn:

• Artificial Intelligence: AI fundamentals, key AI concepts, AI/ML differences, deep learning. Real-world examples of AI, ML, deep learning, and generative AI.
• Internal components of Generative AI: GPT (Generative Pre-trained Transformer), Gen AI timeline, democratizing AI.
• DeepSeek: Effective prompts to improve productivity. Job creation – create a resume and prepare for an interview. 1000+ prompts with practical examples.
• DeepSeek internal components and DeepSeek architecture.
• Comparison of DeepSeek, Multi-head Latent Attention (MLA), Mixture-of-Experts (MoE), auxiliary-loss-free strategy, and multi-token prediction.
• Training after DeepSeek: Reinforcement Learning, Supervised Learning, Chain-of-Thought (CoT), Distillation.
• DeepSeek: Programmatic access to DeepSeek APIs, with AWS Bedrock, LM Studio.

Who is this course suitable for?

• Software engineers
• QA Engineers
• Software specialists
• AI/ML Engineers
• Data Scientists

Course details: DeepSeek & Generative AI Masterclass for Software engineers

• Publisher:  Udemy
• Lecturer:  Mohammed Fahim Generative AI, Chatgpt trainer | AI professional
• Training level: Beginner to advanced
• Training duration: 3 hours and 11 minutes
• Number of lessons: 40

Course headings

Prerequisites for the DeepSeek & Generative AI Masterclass for Software Engineers course

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 220 MB

File(s) password: www.downloadly.ir

File size

1.2 GB