Developers entering AI
Strengthen your Generative AI foundation with clear visual explanations and practical context.
Generative AI
Earn ₹8–35 LPAwith generative AI skills
Build real AI apps with 98 animated, voice-explained videos: LLM APIs, prompting, RAG, evals, agents, MCP, fine-tuning and production.
₹299₹1,99985% off
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6,300+ learners enrolled
One-time payment. 3 months access to every video in this course.
4.96,300+ ratings
All LevelSkill level
98 videos25+ hours
CertificateShareable on finish
Course preview
See how the lessons work before you buy
Watch free demo lectures from the course to see the visual, voice-explained teaching before enrolling.
Free demo lectures8 videos
Career outcomes
Build skills that open doors to real roles
Use your Generative AI knowledge in portfolio projects, interviews, and practical work for roles such as these.
01
Generative AI Engineer
Entry level02
AI Application Developer
Mid level03
Prompt Engineer
Senior trackAbout this generative AI course
This Generative AI course turns important concepts into clear visual explanations you can learn in short sessions and revisit whenever you need a refresher.
Work through 98 videos at your own pace, apply each idea through structured examples and assignments, track your progress, and earn a certificate when you finish.
Skills you will learn
Models and prompt engineering
Build practical understanding through visual explanations, guided examples, and focused practice.
Embeddings and vector search
Build practical understanding through visual explanations, guided examples, and focused practice.
RAG and AI agent systems
Build practical understanding through visual explanations, guided examples, and focused practice.
Evaluation, safety, and LLMOps
Build practical understanding through visual explanations, guided examples, and focused practice.
Who this course is for
Product and data teams
Fill knowledge gaps and apply Generative AI concepts more confidently in practical work.
AI builders and engineers
Use structured lessons and focused practice to support projects, interviews, and career growth.
Topics
Models and prompt engineeringEmbeddings and vector searchRAG and AI agent systemsEvaluation, safety, and LLMOpsGenerative AI fundamentalsPractical examplesDebugging techniquesProduction best practicesInterview preparation
Syllabus
What is inside the course
Review the Generative AI curriculum module by module, from core concepts through real build projects and interview prep.
01Getting Started4 lessons • 41 min
See what generative AI can and can't do, set up Python and API keys, and make your first LLM call.
What is Generative AI10:24
The GenAI Landscape9:05
Setting Up Your Environment9:27
Your First LLM Call11:55
02Python for AI Engineers4 lessons • 57 min
Use the Python an AI engineer needs daily: Pydantic, async HTTP, files and NumPy vectors.
Typed Data with Pydantic11:28
Async Python and HTTP13:15
Working with Files and Text15:51
NumPy Essentials for Vectors15:58
03How LLMs Work6 lessons • 1h 31m
Understand tokens, embeddings, attention and training, so model behaviour stops being magic.
Tokens and Tokenization14:33
Embeddings14:23
Neural Networks in Ten Minutes15:00
Attention and the Transformer17:21
How LLMs Are Trained13:33
Inference16:38
04LLM APIs in Practice5 lessons • 1h 10m
Call LLM APIs properly: roles, parameters, cost, streaming, retries and choosing a model.
Messages, Roles and System Prompts11:14
Parameters, Tokens and Cost14:35
Streaming Responses13:11
Production Basics16:10
Choosing a Model14:45
05Prompt Engineering6 lessons • 1 build • 1h 42m
Write prompts that work, get structured output, and avoid the common failure modes; build a notes generator.
Anatomy of a Great Prompt11:32
Zero-Shot, Few-Shot and Examples16:00
Reasoning13:41
Structured Output13:16
Prompt Templates and Versioning14:37
Prompt Failure Modes16:21
Lesson-Notes Generator16:09
06Multimodal AI4 lessons • 1 build • 1h 17m
Work with images, speech, audio and video; build an invoice and receipt extractor.
Vision14:09
Image Generation13:49
Speech16:38
Video and Audio Understanding15:00
Invoice and Receipt Extractor17:14
07Embeddings and Vector Search5 lessons • 1h 21m
Turn text into embeddings and search them fast with vector databases, hybrid search and reranking.
Embeddings in Practice16:18
Vector Databases15:24
Approximate Nearest Neighbour Search15:53
Hybrid Search17:19
Reranking16:20
08Retrieval-Augmented Generation6 lessons • 1 build • 1h 54m
Build RAG end to end, from ingestion to grounded answers, and debug it when it goes wrong.
Why RAG14:23
Ingestion17:00
Retrieval15:47
Generation16:41
Advanced RAG14:50
Debugging RAG16:04
Ask the Course19:09
09Evaluating LLM Apps5 lessons • 1 build • 1h 35m
Measure quality with eval datasets, metrics and LLM judges, and catch regressions before users do.
Why Evals13:37
Eval Datasets14:53
Metrics15:39
LLM as a Judge17:07
Regression Testing16:23
Eval Harness for Ask the Course17:09
10Tool Calling4 lessons • 57 min
Let models call your tools safely, including multi-step and parallel tool use.
How Tool Calling Works14:35
Designing Good Tools13:58
Multi-Step and Parallel Tool Use14:43
Safe Actions14:07
11AI Agents6 lessons • 2 builds • 1h 58m
Build agents that plan, remember and act reliably; a study-plan agent and a coding agent.
What an Agent Is13:20
Planning13:07
Memory15:37
Frameworks vs Plain Code12:41
Multi-Agent Patterns15:21
Reliable Agents16:33
Study-Plan Agent16:14
Coding Agent14:38
12Model Context Protocol (MCP)3 lessons • 1 build • 1h 06m
Connect AI apps to tools and data with the Model Context Protocol, and ship an MCP server.
MCP Architecture14:58
Building an MCP Server in Python18:09
Using MCP Servers from AI Apps and IDEs14:55
allcsvideos MCP Server17:44
13Open Models and Local Inference4 lessons • 1h 14m
Run open-weight models locally, quantize them, and serve them at scale.
Open-Weight Models19:00
Running Models Locally17:08
Quantization19:17
Serving at Scale18:39
14Fine-Tuning6 lessons • 1 build • 1h 51m
Decide when to fine-tune, prepare data, and train with LoRA and QLoRA; fine-tune a quiz model.
PyTorch and Hugging Face Essentials17:40
Fine-Tune or Not13:15
Preparing Training Data16:10
LoRA and QLoRA18:37
Preference Tuning and Distillation15:12
Evaluating and Shipping a Fine-Tuned Model15:28
Quiz-Question Fine-Tune14:51
15Cost, Latency and Scale4 lessons • 1h 03m
Cut cost and latency with caching, model routing, batching and streaming UX.
Caching17:53
Model Routing and Cascades16:17
Batch and Async Processing15:09
Making It Feel Fast13:34
16Safety, Security and Responsible AI5 lessons • 1h 17m
Reduce hallucinations, defend against prompt injection, and add guardrails and privacy controls.
Hallucinations16:15
Prompt Injection and Jailbreaks16:06
Guardrails15:36
Privacy and Compliance14:37
Responsible AI14:37
17LLMOps and Deployment4 lessons • 1 build • 1h 34m
Observe, version and monitor AI in production, and deploy the Ask-the-Course service.
Observability16:30
Prompt and Model Management18:40
Monitoring Quality in Production18:19
Deploying an AI Service21:02
Ship Ask the Course to Production19:20
18Capstone Projects1 lesson • 3 builds • 1h 00m
Design real GenAI products: a support assistant, a voice tutor and multimodal course Q&A.
Designing GenAI Products13:21
AI Support Assistant15:21
Voice Tutor17:04
Multimodal Course Q&A14:12
19GenAI Interview Preparation4 lessons • 1h 28m
Prepare for GenAI engineer interviews with system design, the most-asked questions and a full mock.
GenAI System Design18:37
The 50 Most-Asked GenAI Engineer Questions33:44
Concept Quickfire12:25
Full Mock Interview22:55
19Modules
98Videos
86Lessons
12Builds
Combos
Learn a whole skill, not one topic
Courses grouped into a path, in the order we would teach them. One payment, and every course in the set gets 3 months of access per course in the set.
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C++ Interview Prep Combo
Crack coding rounds with DSA in C++, then clear the system design round.
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Longer access with more courses (3 courses = 7 months each)A certificate for each course in the combo
Course certificate
Showcase your skills with a course certificate
Complete every Generative AI lesson to earn a verified AllCSVideos certificate that demonstrates your commitment and newly developed skills.
Verified proof of completion
Receive a unique certificate ID that confirms your completed course.
Ready to share
Add your achievement to LinkedIn, your portfolio, resume, or social profile.
Accessible whenever you need it
Return to your certificate and learning record from your AllCSVideos account.
Testimonials
What learners say after finishing
Real learning stories from people building practical skills with visual notes.
4.8/5
10,000+ verified public & course reviews
Learner story
“The visual notes finally made React hooks click for me. I had watched several tutorials before, but this was the first time the concepts felt connected. I finished the course during one week of train rides.”
Learner story
“I used one DSA lesson each morning and became much more confident explaining solutions in interviews.”
Learner story
“Short pages, no filler. I stopped abandoning courses halfway once I switched to reading instead of watching.”
Learner story
“The Python examples went straight into my project the same afternoon. Clear and practical from the first lesson.”
Learner story
“I keep the SQL notes open while I work. Joins and window functions are easier to recall because I can find the exact visual explanation in seconds. It has become a daily reference, not just a course I completed.”
Learner story
“My approach to system design became much more structured within a month of finishing the course.”
Learner story
“The TypeScript course helped me understand the reason behind the types, not only the syntax. My project code feels much safer now.”
Learner story
“I came for Next.js and stayed for the visual explanations. Server and client components finally make sense without replaying long videos.”
Learner story
“The Node.js course connected routing, validation, security, and deployment into one clear mental model. I now understand how the pieces fit together in a production API.”
Learner story
“Data Analytics felt much less intimidating once every workflow was broken into short visual steps. I could practice one idea at a time.”
Learner story
“The DevOps notes gave me a practical path from containers to delivery pipelines. I return to the diagrams whenever I need to explain a workflow to my team.”
Learner story
“Generative AI finally felt concrete. The sections on prompts, RAG, and evaluation helped me move from experiments to a project I could actually demonstrate.”
Are these video courses?
Yes. Every lesson is a short animated video with voice explanation, so you can watch, pause, and rewatch any concept whenever you need a quick explanation.
How long does one course take to finish?
The DSA with C++ course has 218 videos with more than 25 hours of content, the DSA with Java course has 218 videos with more than 26 hours, the DSA with Python course has 218 videos with more than 26 hours, the System Design course has 122 videos with more than 32 hours, the Spring Boot course has 105 videos with more than 24 hours, the Generative AI course has 98 videos with more than 25 hours, the DevOps course has 110 videos with more than 32 hours, the Python course has 120 videos with more than 34 hours, and the React course has 114 videos with more than 24 hours. Most lessons take under fifteen minutes. Your completion time depends on your pace, but you can make useful progress every day.
How long do I get access?
Each purchase gives you 3 months of access. You can renew anytime for the same price. If you renew early, the new 3 months are added after your current access ends, so you lose no days.
Do I get a certificate?
Yes. You receive a certificate after completing each eligible course. It can be shared as evidence of the topics and practical skills you covered.
What skill level do I need to start?
The course begins at a beginner level and requires no previous DSA experience. Basic C++ is covered in the first module, so you can start from the beginning.
Do I keep access to my course?
You keep access for 3 months from your purchase. After that you can renew at any time, and your saved progress is waiting for you when you come back.
Do the lessons get updated?
Yes. When an important tool, technique, or standard changes, affected lessons are updated and the new version appears in your course at no extra cost.