Artificial Intelligence Training Course
What you'll learn
- Understand how AI creates text, images & code using modern models.
- Supervised, unsupervised & reinforcement learning with real-world use cases.
- Core mathematical & algorithmic foundations for building AI systems.
- Build powerful neural networks, transformers & Natural Language Processing models.
- Master image recognition, computer vision & deep architectures.
- Work with GPT (OpenAI), Gemini (Google), Llama (Meta), Groq & more.
- Hands-on with LangChain, LangGraph & Hugging Face for open-source AI models
- Techniques like chaining, PEFT, RAG & building powerful AI prompts.
- Learn how to design autonomous agents that can plan, reason & act.
- Use tools like N8N & LangFlow to create AI agents without coding.
- Develop practical applications combining ML, Generative AI, RAG & AI Agents.
Our Training Process

Practical Session

Assignment

Projects

Resume Building

Interview Preparation

Be Job Ready

Practical Session

Assignment

Projects

Be Job Ready

Interview Preparation

Resume Building
Key Highlights
- Personalised career coach
- 90% Practical Training
- Certification
- 100% Placement Assistance
- Study material
- Instant doubt solving
- Mock Interviews
- Case studies and Projects

58 Hrs
Training Duration

25000+
Students Trained

1000+
Hiring Companies

12.5 LPA
Highest Fresher Salary
Course Content
- What is Machine Learning?
- Types of Machine Learning
- Supervised Learning.
- Unsupervised Machine Learning.
- Reinforcement Learning.
- Introduction to Linear Regression.
- Use cases of Linear Regression.
- How to fit a Linear Regression model?
- Evaluating and interpreting results from Linear Regression models.
- Project: How linear regression helps determine demand in Restaurant.
- Introduction to Logistic Regression.
- Logistic Regression use cases.
- Understand use of odds & Logit function to perform logistic regression.
- Project:
- Predicting default cases in the Banking Industry.
- Introduction to Gradient Descent.
- Why we use Gradient Descent?
- Gradient Descent optimization of a single variable, Part-1
- Gradient Descent optimization of a single variable, Part-2
- Gradient Descent optimization of two or more variables.
- Cost function.
- Training & testing.
- Overfitting and Underfitting Problem.
- Bias and Variance.
- Bias – Variance Trade off.
- Regularization Techniques
- Lasso (L1) Regression.
- Lasso (L2) Regression.
- Metrics
- Confusion Matrix.
- TP, FP, TN, FN
- Precision and Recall
- F1 Score
- Neural Networks.
- Activation Functions.
- Gradient Descent for Neural Networks.
- Forward Propagation
- Backward Propagation
- Backward Propagation.
- Types of Layers.
- Convolution Layer – Math and representation
- About activation Layer
- About pooling Layer
- About fully connected Layer
- Padding
- Strides
- Vanishing Gradient Problem.
- Hyperparameters and its’ effects.
- Learning Rate
- Epoch
- Batch
- Transfer Learning.
- Learning Rate
- VGG-16
- ResNet
- Inception Network
- One Hot Encoding, Bag of Words, TFIDF, Word2Vec.
- Recurrent Neural Networks (RNN Structure).
- Bidirectional RNN.
- LSTM.
- Attention Mechanism.
- Transformer Networks.
- Large Language Models (LLMs).
- LLM’s Industry use cases.
- Prompting Techniques.
- One Shot Prompting.
- FewS hot Prompting.
- OpenAI – GPT 3.5 / GPT 4.
- LangChain.
- Hugging Face.
- Google PaLM
- Google Gemini / Gemini Pro / Gemini Pro Vision.
- Introduction to Agentic AI
- Building AI Agents
- Advanced Agentic Systems
- Practical applications of AI Agents
- Introduction to the concept of RAG.
- Tokenization and Embedding generation
- FAISS for vector search
- Retrieving relevant documents from FAISS
- Adding RE-ranking and fine-tuning results
- Personalized Voice Assistant.
- Build your own AI translator.
- Text Chatbot.
- Youtube Video Summarizer.
Master 35+ Paid tools, including AI Powered Platforms
Skills you will gain
Course Certification
This certificate serves as an official badge of your successful Machine Learning training course completion, highlighting your expertise.
Students Testimonial
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Student's Portfolio
Success Stories
Frequently Asked Questions (FAQs)
What is the duration of the course?
Total duration is approximately 4 months along with Live Projects.
Is there 100% Placement Guarantee after the course is over?
We provide 100% placement assistance in our Artificial Intelligence training course in Mumbai.
Are there any prerequisites before starting Artificial Intelligence?
It is required to know Python before starting this Artificial Intelligence training course in Mumbai.
Who teaches Artificial Intelligence?
At TryCatch, our team consists of seasoned experts with over 15 years of experience. A skilled Data Scientist will be guiding students, encouraging them to ask questions without hesitation, and enabling us to effortlessly address all your inquiries.
Is the course Online or Offline?
This Artificial Intelligence training course is available offline & online both. You may choose whatever is feasible for you.
Offline course can be done at our Borivali Branch in Mumbai.
Online Live Course can be done on Zoom.
Who can learn Artificial Intelligence?
This course is designed for everyone, even if you’re studying Commerce, Arts, or Mechanical subjects, or if you’re still in school. It doesn’t matter what your background is, you can definitely learn this course.
Do I need prior experience in Artificial Intelligence training course?
No, prior experience is not required.
What software and tools do I need for this course?
All the tools required for this training will be installed during the course
Will I receive a certificate upon course completion?
Upon completion of the course, you will receive an official global Artificial Intelligence training course. This certificate serves as an official badge of your successful course completion, highlighting your expertise.
Can I interact with instructors and ask questions during the course?
Absolutely! Our instructors are always available to answer all your questions and solve your doubts.
Are there any real-world projects or case studies in the course?
Yes, we incorporate real-world projects and case studies into the course to help you apply what you’ve learned in practical scenarios.
Is there a money-back guarantee if I’m not satisfied with the course?
We offer a satisfaction guarantee. If you are not satisfied with the course within a specified timeframe, you can request a refund.
Shoutout from Arjun Kapoor
and Vidya Balan
Here's everything you're going to get
- Easy-to-follow modules
- Study Materials
- Tutorials
- Interview Q&A Library
- Industry Oriented LIVE Projects
- Mock Interviews
- Access to Private Jobs Group
- Be Job Ready
















