DeepSeek Training Online

SKU: 3066
10 Lesson
|
40 Hours

Learn DeepSeek from scratch through live, instructor-led sessions covering architecture, prompt engineering, API use, local deployment, and RAG, so you build real generative AI applications confidently for new production-ready roles.

✅ Level – Beginner to Intermediate
✅ 40-Hour Live, Instructor-Led Training
✅ 100% Hands-On DeepSeek API & Local Deployment Labs
✅ Free Demo Class Before You Enroll
✅ Covers DeepSeek Architecture, GRPO Reasoning & RAG
✅ Trainers With Real Generative AI Project Experience
✅ Watch First Class For Free

DeepSeek Course Overview

DeepSeek Training at igmGuru takes you inside one of the most talked-about open-weight AI model families of 2026, from its Mixture-of-Experts core to hands-on chatbot and RAG projects. You will work directly with the DeepSeek API, run models locally through Ollama and LM Studio, and practice prompt engineering that produces consistent results. Live sessions, practical assignments, and direct trainer feedback prepare you for real AI engineering, automation, and application-development work across industries - this DeepSeek online training is built for people who want to build, not just watch.

Prerequisites

  • Basic computer literacy and a stable internet connection
  • Comfort reading or writing simple Python scripts
  • A working idea of what machine learning and neural networks do (a formal ML degree is not required)
  • Familiarity with command-line basics, useful for the local-deployment sessions
  • A laptop with at least 16GB RAM and a modern GPU if you plan to run models locally (optional - API-based labs need no GPU)
  • No DeepSeek API key needed on day one - we walk you through account setup in class

Why Learn DeepSeek?

DeepSeek changed the AI conversation in 2025 by proving that a fully open-weight model, released under the MIT license, could match closed frontier systems on reasoning and coding benchmarks at a fraction of the cost. That momentum hasn't slowed - the DeepSeek V4 and R-series models rolled out through 2026 now power everything from customer-support bots to autonomous coding agents inside companies that would rather own their AI stack than rent it from a single vendor. Getting trained on DeepSeek now puts you ahead of a hiring market that increasingly wants people who can fine-tune, deploy, and secure open models, not just call a closed API.

  • Backed by an MIT open-weight license, so companies can inspect, modify, and self-host it - a skill employers are actively hiring for
  • Matches or beats several closed-source models on reasoning, math, and coding benchmarks at a much lower API cost
  • Works equally well through a cloud API or fully offline on local hardware, a flexibility few other LLM families offer
  • Powers a fast-growing ecosystem of agentic coding tools, RAG pipelines, and workflow-automation bots
  • Builds transferable LLM skills - MoE, attention mechanisms, reinforcement learning - that apply well beyond DeepSeek alone

Course Objectives

By the end of this program, you will be able to work with DeepSeek end-to-end - from underlying theory to a shipped application.

  • Explain DeepSeek's Mixture-of-Experts and attention architecture in plain terms
  • Set up and query the DeepSeek API for real applications
  • Write prompts that consistently produce accurate, structured responses
  • Deploy DeepSeek models locally using Ollama or LM Studio
  • Build a working AI chatbot and a RAG-based knowledge assistant
  • Apply Chain-of-Thought and reasoning techniques to multi-step problems
  • Evaluate model outputs and troubleshoot common failure patterns

What You Will Learn

The curriculum moves from foundational concepts to applied engineering across focused, hands-on stages.

  • The DeepSeek model family and how it differs from GPT, Gemini, and Llama
  • Mixture-of-Experts (MoE), Multi-Head Latent Attention, and DeepSeek Sparse Attention
  • GRPO-based reinforcement learning and how DeepSeek trains its reasoning ability
  • Prompt engineering for instruction, reasoning, and system-level control
  • DeepSeek API integration, authentication, and response handling
  • Local deployment and hardware planning with Ollama and LM Studio
  • Code generation, debugging, and logic-heavy development tasks
  • Conversational AI and chatbot architecture
  • Retrieval-Augmented Generation (RAG) with embeddings and vector search
  • Chain-of-Thought reasoning and multi-step problem solving

Who is This Course For?

This DeepSeek online training is built for people who want practical, applied AI skills rather than theory alone.

  • Software developers adding Generative AI to their toolkit
  • Data scientists and ML engineers exploring open-weight models
  • Prompt engineers and conversational-AI designers
  • Students and career-switchers entering the AI/ML field
  • Product managers and technical leads evaluating DeepSeek for their teams
  • Complete beginners who want a structured, guided entry into large language models

Tools You Will Work With

  • DeepSeek API and DeepSeek Platform console
  • Ollama
  • LM Studio
  • Python
  • PyTorch
  • Hugging Face Transformers
  • LangChain and vector databases for RAG
  • Postman for API testing
  • VS Code
  • Git and GitHub

Skills You Will Gain

You will leave with a blend of conceptual understanding and production-ready, hands-on skill.

  • Prompt engineering and instruction design
  • API integration and authentication handling
  • Local LLM deployment and hardware optimization
  • Retrieval-Augmented Generation (RAG) pipeline building
  • Reasoning and Chain-of-Thought problem solving
  • AI chatbot design and conversation-flow management
  • Working understanding of MoE and attention-based architectures
  • Debugging and evaluating model outputs

Career Outcomes

Organizations across industries are actively hiring for these DeepSeek-adjacent roles right now.

  • AI/ML Engineer
  • Generative AI Developer
  • Prompt Engineer
  • Conversational AI / Chatbot Developer
  • LLM Application Developer
  • AI Automation Specialist
  • Applied AI Consultant

Why Choose igmGuru for This Training?

igmGuru has trained working professionals across dozens of countries, and this DeepSeek certification course is built on that same practical, job-focused model.

  • A free first session so you can evaluate the trainer and format before paying anything
  • Live, instructor-led classes in small batches, not pre-recorded slides
  • Trainers who build production AI applications, not just teach theory
  • 24x7 lifetime access to recordings and updated course material
  • Flexible weekday, weekend, and fast-track batch options
  • Course-completion certificate plus career guidance and interview support
  • Corporate training option for teams that want DeepSeek skills built in-house

Key Features

DeepSeek Course Curriculum

1. DeepSeek model family
2. Model capabilities overview
3. Use cases in AI applications
1. Mixture of Experts (MoE)
2. Attention mechanisms
3. Model reasoning workflow
1. Instruction prompts
2. Reasoning prompts
3. System prompts
1. GRPO (Group Relative Policy Optimization)
2. Reward models
3. Reasoning optimization
1. API setup
2. API requests
3. Response handling
1. Ollama setup
2. LM Studio setup
3. Hardware requirements
1. Code assistance
2. Debugging assistance
3. Logic reasoning tasks
1. Conversation flows
2. System behavior design
3. Integration with applications
1. Document indexing
2. Embedding models
3. Query retrieval
1. Chain-of-Thought
2. Multi-step problem solving
3. Evaluation and refinement
Talk To Us

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DeepSeek Training Fees and Batch Details

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 12 Oct 2026
  • Weekday Batch 12 Oct 2026
  • Weekend Batch 17 Oct 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

Trusted By Top Companies Worldwide

MITSUBISHI
Emirates
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Tech Mahindra
Techmill
metacube
Fareportal
Trelleborg
Capgemini
AU Small Finance Bank
United Nations
Inter Mid
SoftFlex
align
utthunga
Rimini Street
EJADAH
Yash Technologies
suyati
Hettich
APPCINO

Want to know Today's Offer

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DeepSeek Certification

igmGuru offers course completion certificate, confirming that you have completed the live sessions, hands-on labs, and the capstone project, and that you can work with DeepSeek's API, local deployment tools, prompt engineering methods, and RAG pipelines in a real project setting. It is shareable on LinkedIn, your resume, or your professional portfolio as proof of applied, verifiable skill.

DeepSeek Certification

FAQs: DeepSeek Online Training

Most of the training runs on free-tier or low-cost API access that we help you set up in the first session, so no special hardware is required. If you want to try local deployment on your own GPU later, we will guide you on the hardware specs, but it stays optional.

Yes. The batches are structured module by module, so learners who already know the fundamentals tend to move through the early sessions faster and spend more time in the DeepSeek-specific architecture, API, and deployment modules with the trainer.

It is a real, live session with an actual trainer, not a pre-recorded video. You can ask questions, watch the DeepSeek console in action, and decide whether the teaching style and pace suit you before you enroll.

Nothing is lost. Every live class is recorded and added to your course portal, and you get 24x7 access so you can catch up whenever it suits you.

Yes. DeepSeek has shipped major updates every few months, so module content and live demos are refreshed whenever a new model family - such as the V4 series - changes how the API or local setup works.

Classes are conducted in English, and our support team can assist over calls or email in Hindi for learners who prefer it, which is common across our India-based batches.

igmGuru offers a money-back guarantee under our standard refund policy, so if the training isn't right for you within the review window, you can request a refund through our support team.

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