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Artificial Intelligence Training
Master AI concepts, Machine Learning, Deep Learning, NLP, Generative AI, and real-world applications through hands-on projects and expert-led training.
Hands-on AI projects with industry-oriented training
Placement support and certification guidance included
Course Duration
6 Weeks Intensive Program
Live Training
Instructor-led Online Training
Interactive live classes with expert trainers, practical learning, LMS access, and cloud labs.
Live mentor sessions
Dedicated lab access
Weekend batches
Self Paced
Recorded Video Training
Learn anytime with premium recorded sessions, downloadable resources, and flexible access.
Unlimited recordings
LMS access included
Flexible learning
Enterprise
Corporate Training
Team-oriented learning solutions with LMS integration, reporting, and enterprise support.
Team learning
Progress tracking
Dedicated support
Kasha Training
About The Course
AI (Artificial Intelligence) is a branch of computer science that focuses on creating systems capable of performing tasks that would normally require human-level intelligence. This includes things like understanding natural language, recognizing patterns, making decisions, and learning from experience. AI is a wide discipline with numerous subfields, each with unique objectives and specializations. Artificial intelligence refers to technology that can analyze information, recognize patterns, generate content, and help complete tasks that typically require human judgment. AI is used across industries for tasks such as research, data analysis, writing, coding, and automation — which is why millions of professionals are actively learning to use it effectively.
AI is the principle of simulating human intelligence with computers programmed to emulate human thought patterns and mimic their actions. Technology in this field grows day by day — steering use into the future by predicting situations and helping to solve complex problems. Real-world examples include wayfinding apps, fraud detection systems in financial institutions, retail inventory management, robot vacuums, self-driving cars, and chess-playing computers.
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Benefits of Attending DevOps Training
- Gain industry-recognized Artificial Intelligence skills highly sought after across Technology, Healthcare, Finance, Retail, Manufacturing, and Automotive sectors
- Opens career opportunities as an AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Scientist, NLP Engineer, and Computer Vision Engineer
- Learn the most transformative and fastest-growing technology of the 21st century powering innovations across every industry globally
- Boost your earning potential — AI professionals are among the highest-paid technology specialists commanding premium salaries worldwide
- Develop strong skills in designing, building, and deploying intelligent systems that can learn, reason, and make decisions autonomously
- Ability to work on cutting-edge real-world AI applications including Chatbots, Recommendation Systems, Fraud Detection, Image Recognition, and Autonomous Vehicles
- Master key AI technologies and frameworks — TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, and Hugging Face Transformers
- Prepares you for globally recognized AI certifications such as Google Professional Machine Learning Engineer, IBM AI Engineering Professional, and Microsoft Certified Azure AI Engineer
- Enhances analytical thinking, mathematical reasoning, and problem-solving skills essential for developing intelligent AI-powered solutions
- Builds a strong foundation for advancing into Deep Learning, Natural Language Processing, Computer Vision, Generative AI, and Large Language Models (LLMs)
- Enables professionals to leverage AI tools and techniques to automate business processes and drive digital transformation initiatives
- Positions you at the forefront of technological innovation with skills applicable across virtually every industry and business domain
Why Kasha Training Education?
Kasha Training provides industry-focused Artificial Intelligence (AI) training designed to help learners build strong AI skills through expert guidance and hands-on practice. Our comprehensive curriculum covers Machine Learning, Deep Learning, NLP, Generative AI, and modern AI tools with real-time projects. With experienced trainers, flexible learning modes, career support, interview preparation, and placement assistance, Kasha Training helps students and professionals prepare for successful careers in the AI industry.
Our Programs
Course Curriculum
08
Units
24
Lessons
01
Free Preview
Understand the fundamentals of Artificial Intelligence, its types, applications, intelligent systems, and real-world use cases. Learn how AI enables machines to think, learn, solve problems, and make intelligent decisions.
Fundamentals and history of AIs
Video
90 min
AI applications and real-world use casess
Video
120 min
AI ethics and future trends
Lab
180 min
02
Core
Learn Python programming fundamentals, data structures, functions, OOP concepts, and essential libraries like NumPy, Pandas, and Matplotlib for AI development and data analysis.
Python basics and advanced concepts
Video
120 min
Object-Oriented Programming (OOP)/Maven
Video
180 min
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\r\n Utilize advanced sysadmin debugging commands. Apply your knowledge by shipping a complete pipeline architecture for application environments utilizing customized outputs.
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\r\n \r\n \r\n DevOps Linux utilities masterclass\r\n Video\r\n 150 min\r\n
\r\n \r\n \r\n Project Color Expressions Engine Deployment\r\n Video\r\n 180 min\r\n
\r\n \r\n \r\n Project: Complete Multi-Tier Infrastructure Integration\r\n Project\r\n 360 min\r\n
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Core
Deploy high-availability application architectures. Learn server orchestration patterns and route web traffic seamlessly across distributed multi-node target clusters.
Apache/Nginx Web Server Configuration
Video
120 min
Lab: Reverse Proxy and Load balancing with Haproxy
Lab
240 min
04
Advanced
Establish Infrastructure as Code state frameworks. Standardize cluster definitions, eliminate environment drift, and handle declarative state files efficiently.
Configuration Management with Puppet
Video
150 min
Introduction to Chef fundamentals
Video
120 min
Lab: Provisioning nodes with automated manifests
Lab
180 min
05
Advanced
Write enterprise automation logic. Master core terminal task programming alongside data processing languages to orchestrate complex operations.
Python basics for System Engineers
Video
120 min
BASH scripting & Task automation
Video
120 min
Lab: Writing maintenance & deployment scripts
Lab
240 min
06
Pro
Isolate application dependency trees using modern container runtimes. Set up enterprise health observability stacks and build custom alerting integrations.
Understanding containers with Docker
Video
180 min
Monitoring ecosystem with Nagios
Video
120 min
Writing custom Nagios plugins
Video
90 min
Lab: Building Dockerfiles & Active Node Alerts
Lab
240 min
07
Pro
Harden and balance production instances. Deep dive into system kernel flag adjustment parameters, infrastructure shield design, and data store scaling.
Performance tuning parameters & Kernel Optimizations
Video
180 min
Server security, network rules and firewalls
Video
180 min
Lab: Relational and NoSQL Database concepts
Lab
300 min
08
Pro
Utilize advanced sysadmin debugging commands. Apply your knowledge by shipping a complete pipeline architecture for application environments utilizing customized outputs.
DevOps Linux utilities masterclass
Video
150 min
Project Color Expressions Engine Deployment
Video
180 min
Project: Complete Multi-Tier Infrastructure Integration
Project
360 min
Artificial Intelligence Training
Master AI concepts, Machine Learning, Deep Learning, NLP, Generative AI, and real-world applications through hands-on projects and expert-led training.
Hands-on AI projects with industry-oriented training
Placement support and certification guidance included
Course Duration
6 Weeks Intensive Program
Our Programs
Feedback from our Participants
What our DevOps Engineering students are saying
Configuring multi-branch Git workflows and orchestrating continuous integration pipelines inside Jenkins gave me the hands-on mastery I needed to pass my interviews.
The deep-dive into Docker isolation layers, Nginx caching, and HAProxy edge load balancing was phenomenal. Implementing high-availability routing feels completely natural now.
The automation modules—specifically writing custom core BASH handlers and regex parsing scripts—helped us migrate legacy systems cleanly. Absolute goldmine for real-world tasks.
Mastering Puppet state files and writing Chef configuration cookbooks provided a clean framework for infrastructure state management. No more system drift configurations.
The hands-on lessons tracking server health parameters using Nagios and building firewall configurations made the complex systems metrics clear and actionable.
Our Programs
Frequently Asked Questions
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Try a different keyword or browse by category.
What continuous integration models and build pipelines are covered?
This course explores the architecture of advanced build delivery systems. We analyze continuous integration workflows within Jenkins, ensuring you understand multi-branch setups, automated triggers, and build step execution strategies for enterprise software environments.
Is there a focus on Git branch management and workflow policies?
Yes. The curriculum provides exhaustive coverage of source control management: Git Workflows (Feature branching, Gitflow, release branches) and delivery architectures (commit management, pull request gating, conflict resolution mechanisms, and fast-forward merge strategies).
Will I practice building continuous compilation jobs?
Absolutely. You will learn the entire artifact assembly process, from tracking the source repository state and designing build configurations to executing targeted compilations and compiling clean system builds.
What isolation methods are taught for containerized applications?
This segment covers container runtimes and application scoping. You will configure and containerize applications by learning runtime characteristics, utilizing Docker Isolation Layers, managing multi-tier container layers, and establishing network abstraction paths across target virtual topologies.
How are web layer routing and load balancing addressed?
We teach you the complete proxy management structure: Nginx request handling, caching rules, and HAProxy load balancing policies. You will learn traffic balancing, failover routing, and setup mechanisms to handle scalable traffic processing over cluster configurations.
What scripting environments are used for host system automation?
The program focuses directly on native platform scripting. You will master standard shell controls by writing custom execution scripts inside BASH environments, handling environment parameters, and driving core terminal automation patterns across target server hosts.
How do we filter system logs and parse text datasets?
Text pipeline parsing is continuous. You will implement stream filters using utility expressions like regex matching engines, sed replacements, and awk data extractions to parse massive raw logs into clean metric datasets.
When and how do we monitor server performance metrics?
Performance observation is critical following any service distribution or node shift. We teach you to track runtime health, resource load parameters, and daemon conditions utilizing Nagios tracking architectures to maintain stable infrastructure lifetimes.
What configuration frameworks are covered for configuration management?
This category focuses on platform provisioning engines. You will master host definitions across environments by implementing Puppet manifest files and Chef configuration cookbooks, driving declarative architecture rules across server layers.
How do we enforce security settings on node boundaries?
We provide extensive material on infrastructure protective engineering. You will learn port shielding configurations, packet policy controls, and how to execute targeted firewall policy scripts to prevent systemic drifts and vulnerabilities across systems.