DeepSeek & Generative AI Masterclass for Software engineers

Name: DeepSeek & Generative AI Masterclass for Software engineers
Rating: 5.0 (9 reviews)

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

Created byMohammed Fahim | Generative AI, Chatgpt trainer | AI professional

Last updated 6/2025

English

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

Course content

5 sections • 40 lectures • 3h 11m total length

Introduction to Artificial Intelligence and it's real-life applications2:54
AI, ML, Deep Learning & Generative AI comparison and examples4:08
Clarify the differences between artificial intelligence, machine learning, deep learning, and generative AI, showing how each term copies, learns, or generates content.
Artificial Intelligence(AI) v/s Machine Learning (ML)2:15
Learn the key differences between AI and ML, including how AI copies human intelligence and uses logic and rules, while ML learns from data to identify patterns and make predictions.
Typical ML Model building2:38
Understand Deep Learning with interesting example2:18
Generative AI - Power of Gen AI0:54
Traditional AI v/s Generative AI1:42
Contrast traditional ai and generative ai across content creation, response quality, cost, and tasks, noting traditional ai excels at logical reasoning while generative ai favors creativity.
GPT (Generative Pre-Trained Transformer) - Understand properties of each keyword2:49
Generative AI use cases & Limitations4:35
Generative AI Timeline - How Gen AI has evolved and role of Google and AWS2:29
AI & Generative AI Introduction

Reinforcement Learning & Supervised Learning6:07
What is Token and how to easily calculate tokens using tokenizer4:02
Understanding Tokens and Temperature3:24
Embeddings4:05
Foundational Model6:51
Foundation models, Gen AI & LLMs1:27
Generative AI Model training - Compare Fine Tuning, RAG and Few shot learning2:48
LLM Implementation options - APIs, Open Source LLMs and Fine tuning LLMs5:33
Transformer Architecture9:07
Generative AI - Advance Topics

DeepSeek Login and initial screen introduction3:02
DeepSeek Level 0 to Level 6 introduction2:31
DeepSeek Prompts - Level 0 : Basics of Prompts & DeepSeek limitations5:26
DeepSeek Prompts - Level 1 : Basic Shell commands4:37
DeepSeek Prompts - Level 2 : Advance Shell commands5:25
DeepSeek Prompts - Level 3 : Basic coding and testing7:08
DeepSeek Prompts - Level 4 : Advance coding exercise8:51
DeepSeek Prompts - Level 5 : End to End project10:50
DeepSeek Prompts - Level 6 : Resume building and Interview preparation6:38

DeepSeek Benchmark comparison6:56
DeepSeek Internals - Introduction with interesting example6:27
DeepSeek Architecture - Introduction, DeepSeekMOE & Auxiliary-loss-free strategy6:48
DeepSeek Architecture -MLA (Multi-head Latent Attention)7:39
Explore DeepSeek architecture with multi-head latent attention (mla), featuring low-rank key-value joint compression, compressed latent queries and keys/values, rope rotary position embedding, and caching that improves inference efficiency.
DeepSeek Architecture -Multi-Token Prediction (MTP) & Distillation5:48
Explore DeepSeek's multi token prediction with a shared trunk and heads to speed up inference and generate text, and apply distillation from teacher to student models for efficient deployment.
DeepSeek Architecture - CoT, Group Relative Policy Optimization(GRPO) and FP85:16
DeepSeek Internals and Architecture

DeepSeek API access2:13
Learn to programmatically access DeepSeek using an API key from platform.com and copy the key to enable API access, while noting a mid-February 2025 warning that API recharges are suspended.
DeepSeek API access via Openrouter.ai5:12
Access DeepSeek APIs via Open Router on openrouter.ai to choose from 300+ models and providers, learn uptime-based routing and API key creation for production workloads.
DeepSeek Python program5:55
Learn to build a Python program with deep seq APIs via Open Router and OpenAI libraries, using a free model, and a sample binary-tree depth calculation.
DeepSeek access through lmstudio.ai4:27
DeepSeek access options in Amazon Bedrock5:25
DeepSeek API cost comparison with OpenAI ChatGPT reasoning models4:31
Compare deep sea api cost with OpenAI ChatGPT reasoning models to reveal pricing gaps, including input and output token costs, chain-of-thought accounting, and free chat options.

Requirements

Basic software engineering concepts

Description

Unlock the full potential of DeepSeek with our comprehensive course, 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.

Who this course is for:

Software Engineers
QA Engineers
Software Professionals
AI/ML Engineers
Data Scientists

DeepSeek & Generative AI Masterclass for Software engineers

What you'll learn

Explore related topics

Course content

Intro to AI/ML & Generative AI - Watch at 1.5x if you already know these well10 lectures • 27min

Advance Topics - Reinforcement Learning, Tokens, LLMs, Embedding, Transformer9 lectures • 43min

DeepSeek Hands-on : Basics of Prompts to End 2 End Project and Resume building9 lectures • 54min

DeepSeek Internals - Benchmark, Architecture and explanation of each component6 lectures • 39min

DeepSeek Model access through API, Amazon Bedrock, lmstudio.ai and Hands-on6 lectures • 28min

Requirements

Description

Who this course is for: