What is our certification development process?

Our certification development process involves rigorous industry analysis, curriculum design by subject matter experts, pilot testing, and continuous updates based on feedback and emerging trends to ensure relevance and effectiveness.

Can I get an AI certification if I don’t have a technical background?

Yes, you can get an AI certification without a technical background. We offer programs designed for individuals with non-technical as well as technical backgrounds, individuals, making AI knowledge accessible to everyone.

What kind of support is available during the course?

We offer extensive support for learners, including access to expert educators, business coaches, and advisors. Additionally, learners benefit from detailed guidance through certifications tailored for AI and blockchain specializations, ensuring comprehensive learning and professional development.

How are the exams conducted?

Exams are conducted online and are designed to validate the candidate's knowledge in AI and Blockchain domains. Exams include multiple-choice questions, case studies, and practical exercises, ensuring a comprehensive assessment of skills.

Are these certifications globally recognized?

Yes, Certifications are globally recognized. They are designed by the industry and subject matter experts and offer comprehensive knowledge on AI and blockchain specializations, covering the industry demands.

Are there any group discounts or corporate training options available?

For group discounts or corporate training, you can reach us at +91 636 447 9991 | 2 | 3 for detailed information.

What are the benefits of role-based certifications?

Role-based certifications provide targeted skills and knowledge, enhancing job performance and career advancement. They demonstrate expertise in specific areas, increase employability, and often lead to higher salaries and better job opportunities. We offer specialized role-based certifications in AI and blockchain, tailored for professionals seeking to advance their careers in these fields with in-demand programs.

Who is involved in the certification development process?

The certification development process involves a team of experts, including educators from leading universities, business coaches, AI subject matter experts, certification strategists, and senior directors of learning and development

How up to date is the course content?

The course content is designed to be up-to-date, reflecting the latest advancements and best practices in AI and blockchain technologies. The certifications offered are continuously updated to ensure relevance in the rapidly evolving tech landscape.

Unlocking AI-Powered Role-Based Program

AI+ Cloud

Globally Recognized Certification: Accepted in over 120 countries

No Technical Barriers: No programming Skills

Flexible Learning Formats

Proctored Online Exams

One-Year free Subscription for upgrading skill

Lead Life with AI

Imagine walking into your office and realizing Al can do 40% of your repetitive tasks for you. How would that change your work?

Al is revolutionizing business, healthcare, marketing, finance, and more. Workforces that integrate Al skills see up to a 40% increase in productivity.

In today's rapidly evolving digital landscape, understanding and leveraging Artificial Intelligence (AI) is no longer optional—it's essential.

Al is expected to contribute $15.7 trillion to the global economy by 2030.

Transform Cloud Computing with Cutting-Edge AI integration

Cloud-AI Fusion: Learn to integrate AI into scalable cloud environments
Advanced Infrastructure: Master CI/CD, cloud AI models, and deployment strategies
Capstone Project: Gain hands-on experience with real-world applications
Future-Ready Skills: Prepares professionals to lead AI-powered cloud innovation

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The Power of AI Certification

In today's fast-changing world, Al is reshaping industries, jobs, and career paths.

Al isn't just the future-It's your competitive advantage.

Explore Advantages of Role-Based Certification Over General AI Certification

General Al Certifications

Role-Based AI Certifications

Feature

Focus

Broad Al knowledge

Job-specific Al skills

Industry Relevance

Theoretical concepts

Al training directly applicable to your profession

Career Growth

Limited real-world use

Al expertise that makes you indispensable

Scalability

Designed for individuals

Scalable for teams. & organizations

Key Takeaways of Our Programs

Understand the business and outcomes that can be achieved with AI

Practical Knowledge

Ethical & Responsible AI tracks

Flexible learning formats

Access to high video lessons, assessments, quizzes and upgrades for 1 year after programs

Join a community of like minded professionals who are successfully exploring AI in their organizations

Industry Growth: Scaling Intelligent Cloud Solutions Across Every Sector

The global AI in cloud computing market is expected to grow at a CAGR of 35.2% from 2021 to 2028, (Source: Grand View Research).
AI-powered cloud tools are transforming industries such as finance, healthcare, and retail, automating data processing, improving resource management.
The adoption of AI-enhanced cloud computing is increasing, with businesses using AI for predictive analytics, automation, and cloud security.
AI-driven cloud automation is becoming essential for businesses scaling operations, improving efficiency in resource management, reducing costs.
AI in cloud computing is revolutionizing industries like SaaS, PaaS, and IaaS, where AI-powered solutions optimize service delivery, enhance data security.

Program at a glance:

Program Name:

Delivery Method:

Duration:

Exam Format:

Included:

Outcome:

AI+ Cloud

Self-Paced | Virtual Instructor Led

10- Half a Day [ 4 hours each ] of Intensive Training with Live Demos

50 questions, 70% passing, 90 minutes, online proctored exam

Projects & Case Studies

Industry-recognized credential + hands-on experience

Who is this program for ?

Cloud Professionals: Enhance your cloud management skills by integrating AI to optimize cloud performance, improve resource utilization.
Cloud Architects & Engineers: Learn to leverage AI to design scalable cloud infrastructures, automate cloud provisioning, and enhance security.
IT Infrastructure Managers: Use AI to optimize cloud deployment, automate system management, and improve cloud security and disaster recovery planning.
Business Leaders: Drive innovation in your organization by adopting AI in cloud technologies to enhance scalability, reduce costs, and optimize cloud solutions.
Students & Fresh Graduates: Gain a competitive edge in the cloud computing field by mastering AI tools and techniques that are revolutionizing cloud infrastructure.

What You'll Learn

AI Model Development

Gain expertise in training, constructing, and optimizing machine learning models within cloud-based ecosystems, including preprocessing and model selection techniques.

Problem-Solving in AI and Cloud

Learn to apply AI tools to solve complex cloud infrastructure challenges, enhancing productivity and business efficiency.

Mastering Cloud AI Deployment

Master advanced cloud AI integration workflows, including deployment pipelines, CI/CD processes, and version control systems for seamless AI implementation.

Optimization Techniques

Discover effective methods to optimize AI models for improved performance, cost efficiency, and scalability in cloud ecosystems.

Certification Overview

Course Introduction

Module 3: Fundamentals of Cloud Computing

3.1 Cloud Service Models

3.2 Cloud Deployment Models

3.3 Key Cloud Providers and Offerings (AWS, Azure, Google Cloud)

Module 1: Fundamentals of Artificial Intelligence (AI) and Cloud

1.1 Introduction to AI and Its Application

1.2 Overview of Cloud Computing and Its Benefits

1.3 Benefits and Challenges of AI-Cloud Integration

Module 4: AI Services in the Cloud

4.1 Integration of AI Services in Cloud Platform

4.2 Working with Pre-built Machine Learning Models

4.3 Introduction to Cloud-based AI tools

Module 6: Cloud Infrastructure for AI

6.1 Setting Up and Configuring Cloud Resources

6.2 Scalability and Performance Considerations

6.3 Data Storage and Management in the Cloud

Module 7: Deployment and Integration

7.1 Strategies for Deploying AI Models in the Cloud

7.2 Integration of AI Solutions with Existing Cloud-Based Applications

7.3 API Usage and Considerations

Module 9: Capstone Project

9.1 Applying AI and Cloud Concepts to Solve a Real-world Problem

Module 10: AI Agents for Cloud Computing

1. Understanding AI Agents

2. Case Studies

3. Hands-On Practice with AI Agents

Module 2: Introduction to Artificial Intelligence

2.1 Basic Concepts and Principles of AI

2.2 Machine Learning and Its Applications

2.3 Overview of Common AI Algorithms

2.4 Introduction to Python Programming for AI

Module 5: AI Model Development in the Cloud

5.1 Building and Training Machine Learning Models

5.2 Model Optimization and Evaluation

5.3 Collaborative AI Development in a Cloud Environment

Module 8: Future Trends in AI+ Cloud Integration

8.1 Introduction to Future Trends

8.2 AI Trends Impacting Cloud Integration

Skills You'll Gain

AI Cloud Infrastructure Management

Cloud Automation with AI

Predictive Cloud Analytics

Cloud Security with AI

AI-Powered Data Management in Cloud

Tools You’ll Master

AWS SageMaker

Prerequisites

A foundational understanding of key concepts in both artificial intelligence and cloud computing.
Fundamental understanding of computer science concepts like programming, data structures, and algorithms.
Familiarity with cloud computing platforms like AWS, Azure, or GCP.
Basic knowledge of mathematics as it important for machine learning, which is a core component of AI+ Cloud™ program.

Choose the Format That Fits Your Schedule

What’s Included (One-Year Subscription + All Updates):

High-Quality Videos, E-book (PDF & Audio), and Podcasts
AI Mentor for Personalized Guidance
Quizzes, Assessments, and Course Resources
Online Proctored Exam with One Free Retake
Comprehensive Exam Study Guide

40 hours of on-demand video lessons, e-book, and podcasts

Real-time Q&A and peer collaboration

Led by AI Certified Trainers

Live Instructor Led Sessions

10 Day [ 4 Hours Each ] of intensive training with live demos

Self-Paced Online

40 hours of on-demand video lessons, e-book, and podcasts

Learn anywhere, anytime, with modular quizzes to track progress

Can be enrolled independently

Interested to know more details

Earn a Shareable Certificate

Add to LinkedIn under "Licenses & Certifications"
Showcase your expertise to potential employers and professional connections.
Download a Verified Certificate - Blockchain
Your certificate is secured on the blockchain for tamper-proof authenticity and can be downloaded as a high-quality PDF for personal records or professional sharing.
Share on social media
Celebrate your accomplishment with your network on all social platforms.

Note: The certificate visuals shown are for reference only and may be updated at AI Certs discretion.

Participants who successfully complete the program will receive a verified digital certificate issued by AI Certs. The program follows a pass/fail grading system, requiring a minimum score of 70% to qualify for certification.

Certificates will be delivered via email using the name provided during registration.

Principal Consultant

Certified AI Trainer | Technology Strategist | Innovation Leader | Industry Advisor

Thrivikram Naganna is a Certified AI Trainer with over 25 years of experience at the forefront of technology & innovation across Cybersecurity, Data Analytics & Artificial Intelligence. With a proven track record in product architecture, cloud transformation, DevSecOps & Engineering Excellence (CoE), he has led large-scale initiatives at leading technology firms like EMC, RSA & Sophos, driving both technical excellence and business value.

Key Career Highlights:

Architect of XDB, an AI/NLP powered analytics platform that delivers actionable business insights and insights into engineering efficiency
Architect of Advanced Cybersecurity Solutions, including SASE and RSA SecurID for multi-factor authentication
Architect of Next-Gen Continuous Delivery Pipeline leveraging microservices and container orchestration for Agile software delivery
Designed & Developed, Xtreme Deploy, a multi-cloud deployment platform, resulting in significant cost savings and operational efficiency, (Winner of global innovation award at EMC/RSA)
Architect of Secure Development Lifecycle (SDLC) practices at RSA

Educational Background:

Postgraduate Program in Cloud Computing – Caltech University
Master’s Program in Artificial Intelligence – Simplilearn
B.E in Computer Science Engineering – University of Mysore

Thrivikram’s people & process leadership expertise spans Agile methodologies, CMMI Level 5 practices, and cross-functional leadership. His strong foundation in Computer Science Engineering is complemented by advanced certifications in Artificial Intelligence and Cloud Computing.

Training Approach:

Thrivikram brings a rare combination of deep technical knowledge and hands-on experience to his training sessions. He excels at simplifying complex concepts and translating them into practical, real-world applications. His engaging, results-oriented teaching style equips learners and organizations to harness the power of AI and emerging technologies effectively and confidently.

What Our Learners Say:

Marc H

Co-Founder

“Happy to share I've completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.."

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Lead Life Learning, India is in collaboration with AI Certs, New York to offer a portfolio of high impact AI & Blockchain programs. AI Certs is an authorized body to conduct examination and provide globally recognized certificates through its expert accreditation body.