This course is a complete AI Engineering program that takes you from Python and data foundations to advanced Machine Learning, Deep Learning, and Generative AI. You will learn to build, evaluate, and deploy real-world AI and LLM-based applications using industry tools like PyTorch, Scikit-learn, OpenAI APIs, Docker, and Kubernetes, supported by hands-on projects and real industry use cases.
Atul Sharma
Intermediate
Featured
What Will You Learn?
Strong Python & Data Foundations
Master Python programming, data structures, OOPs, file handling, and data processing required for real-world AI applications.
Data Analysis, Preprocessing & Visualization
Learn how to collect, clean, transform, and visualize data using NumPy, Pandas, Matplotlib, and Seaborn.Mathematics & Statistics for AI
Build solid intuition in probability, statistics, linear algebra, calculus, and model evaluation concepts used in ML algorithms.Machine Learning from Scratch to Advanced
Implement supervised, unsupervised, and reinforcement learning algorithms using Scikit-learn with practical use cases.
Deep Learning & Neural Network Architectures
Understand and build FNNs, CNNs, RNNs, LSTMs, and Transformer models using PyTorch.Generative AI & Large Language Models (LLMs)
Work with NLP, GANs, RAG pipelines, LLM agents, and OpenAI APIs to build modern GenAI applications.End-to-End AI Engineering & Deployment
Develop, version-control, containerize, and deploy AI applications using Flask, SQL, Git, Docker, and Kubernetes.Industry-Grade Projects & Real-World Use Cases
Build multiple minor and major projects across domains like finance, healthcare, recommendation systems, and GenAI assistants.
Why Join this Program
Recognised By
Industry Hiring Trends
Top Companies hiring
Requirements
• Stable Internet Connection
• A Computer or Laptop
• Basic Knowledge of Computers
• A Modern Web Browser
• Interest in AI/ML Field
• Willingness to Learn and Practice
What to expect from this course
The Cybersecurity SOC Analyst Career Program is an 8-month intensive, hands-on training program designed to help you launch or accelerate your career in cybersecurity. The course focuses on real-world SOC (Security Operations Center) skills, tools, and certifications that companies are hiring for right now.
You will learn how to detect, investigate, and respond to cyber threats using industry-leading tools like Splunk, Microsoft Sentinel, Wireshark, AWS GuardDuty, and more.
This program is ideal for beginners, IT professionals, and career changers looking to break into one of the most in-demand tech fields today.
What is a SOC Analyst?
A SOC (Security Operations Center) Analyst is a cybersecurity professional responsible for:
Monitoring security systems
Detecting suspicious activity
Investigating security incidents
Responding to cyber threats
Creating reports and improving security policies
SOC Analysts are the first line of defense in any organization's cybersecurity strategy. They use SIEM tools and other technologies to protect data, networks, and systems from attackers.
ELIGIBILITY
Background | IT security staff, network engineer, network security engineer, firewall engineer, desktop support engineer, IT support |
Experience | 2–3 years of experience in IT required |
Skills Needed | Networking knowledge, basics of cybersecurity |
Devices Required | Laptop/PC with internet access for classes |
Book Your Slot Now
This Course includes:
• 40 lessons
• 10 file resources
• 200 exercises
• 19 hours of content
• Certificate of Completion
• Lifetime access
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