AI Engineer Certification Course | Global Artificial Intelligence Training Courses
Why Opt for Us?

Distinguished Aspects of This Esteemed Program

01
Esteemed Mentors

Engage with trailblazers such as S Anand, a luminary in India's data science landscape, alongside veterans from industry titans like Apple, Amazon, and VISA.

02
74+ Pragmatic Endeavors

Elevate your expertise through immersive learning, comprising over 60 analytical case studies and 14 meticulously crafted practical assignments replicating real-world professional scenarios.

03
Trionova Alumni Prestige

Harness the influence of an eminent Indian institution while joining a robust network of over 20,000 accomplished alumni.

04
Comprehensive Career Advancement

Benefit from tailored career guidance and placement assistance, fortified by partnerships with 300+ renowned hiring organizations.

05
Continuous Query Resolution

Gain daily support to unravel complexities and fortify your intellectual grasp of intricate concepts.

06
WES-Endorsed Accreditations

Secure a globally acknowledged PG certification from IIIT Bangalore, recognized by WES as equivalent to a one-year postgraduate diploma in Data Science.

What Awaits You?

Immerse Yourself in a Premier, Industry-Driven Curriculum

Fundamentals of Programming and Mathematics
Programming Skills

  • Python (focus on libraries like NumPy, Pandas, Matplotlib)

  • Optional: R or MATLAB for data analysis

  • Online Courses: Python for Everybody

Mathematics

  • Linear Algebra (vectors, matrices, eigenvalues)

  • Probability and Statistics

  • Calculus (derivatives, partial derivatives, gradient descent)

  • Online Resources:
    Khan Academy
    Essence of Linear Algebra (YouTube)

Topics

  • Data Cleaning and Preprocessing

  • Data Visualization (using Matplotlib, Seaborn, Plotly)

  • Exploratory Data Analysis (EDA)

Hands-On Practice: Kaggle Datasets Courses

  • Data Science Fundamentals with Python

  • Applied Data Science with Python Specialization (Coursera)

Supervised Learning

  • Linear Regression, Logistic Regression

  • Decision Trees, Random Forests

  • Support Vector Machines (SVMs)

Unsupervised Learning

  • Clustering (K-Means, DBSCAN)

  • Principal Component Analysis (PCA)

Evaluation Metrics

  • Confusion Matrix, Precision, Recall, F1 Score

  • ROC-AUC

Courses

  • Andrew Ng’s Machine Learning

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Book)

Topics

  • Neural Networks Basics

  • Activation Functions, Loss Functions

  • Optimization Algorithms (SGD, Adam)

Deep Learning Architectures

  • Convolutional Neural Networks (CNNs) – for images

  • Recurrent Neural Networks (RNNs) – for sequences

  • Transformers – for NLP

Frameworks

  • TensorFlow, PyTorch, Keras

Courses

  • Deep Learning Specialization (Coursera)

  • fast.ai

Topics

  • Text Preprocessing (Tokenization, Stemming, Lemmatization)

  • Word Embeddings (Word2Vec, GloVe)

  • Transformers and BERT

Practical Projects

  • Chatbots

  • Sentiment Analysis

  • Text Summarization

Courses

  • Natural Language Processing with Deep Learning (Stanford)

  • Reinforcement Learning

  • Generative Adversarial Networks (GANs)

  • Advanced Computer Vision

  • AutoML and Hyperparameter Optimization

  • Ethical AI and Bias Mitigation

  • Predictive Analytics

  • Image Classification or Object Detection

  • Building an NLP model

  • Reinforcement Learning for Games

  • Coding Platforms: Kaggle, Google Colab

  • Project Hosting: GitHub

  • Version Control: Git

Technology Stack

Integrations with

  • imgTensorflow
  • imgPyTorch
  • imgApache Spark
  • imgGoogle Cloud
  • imgDagsHub
  • imgDocker
  • imgOptuna
  • imgRapids
  • imgMleap
  • imgAmazon Sage Maker
  • imgAzure Machine Learning
  • imgDatabricks
  • imgPycaret
  • imgZenML
  • imgONNX
  • imgkubernetes
  • imgGluon
  • imgRAY
  • imgAlgorithma
  • imgCONDA
  • imgH2Oai
  • imgLightGBM
  • imgMonai
  • imgKeras
  • imgSpaCy
Engage in Industry-Relevant Projects
Credit EDA Assignment

Dive into a hands-on exploration for a consumer finance enterprise, crafting insights through exploratory data analysis to bolster decision-making frameworks.

Model Selection Case - Telecom Churn

Step into the role of a business analyst, leveraging AI and machine learning to mitigate customer attrition for a telecom operator, fostering strategic customer retention.

Advanced ML Case - Telecom

As a data scientist, assess churn propensity and develop data-driven methodologies to enhance customer lifetime value (CLV) through predictive analytics.

Leading Club Case Study

Utilize consumer finance datasets, employing EDA techniques to ensure the optimal alignment of loan approvals while minimizing rejections.

Bike Sharing Assignment

Construct a regression framework to identify pivotal variables influencing bike demand, crafting revenue-maximizing strategies for the sharing service.

Advanced Regression Assignment

Engineer a regularized regression mechanism to unveil critical determinants shaping housing market prices in the United States.

Melanoma Detection Assignment

Develop a bespoke Convolutional Neural Network (CNN) using TensorFlow to accurately classify skin cancer types, advancing the realm of medical imaging solutions.

How our program stands apart
What Makes Our Program Unparalleled in the Marketplace?
Expansive and In-Depth Curriculum

Our curriculum is a harmonious blend of breadth and depth, designed to encompass both the foundational and advanced realms of Machine Learning (ML) and Artificial Intelligence (AI). Delve into Neural Networks and Natural Language Processing (NLP), alongside specialized tools like LangChain and LlamaIndex, empowering learners with expertise in large-scale language models and state-of-the-art methodologies.

Generative AI Integration

Unlike conventional courses, our program seamlessly weaves Generative AI into the core of its teachings, equipping participants with advanced techniques tailored for cutting-edge innovations in this transformative field.

Targeted Specializations

Offering two meticulously crafted, industry-aligned specializations—MLOps and Generative AI—our program empowers learners to address specific market demands, preparing them to lead in their chosen domains.

A Legacy Built on a Thriving Alumni Network

With over 10,000 graduates shaping the AI and ML sectors, our program stands as India’s most expansive and impactful learning community, fostering connections that enhance professional opportunities and collaborations.

How We Compare to Other Offerings
Curriculum Scope:

Other programs may focus narrowly on foundational ML or niche AI concepts, often leaving significant gaps in advanced knowledge and industry relevance.

Generative AI Focus:

While some courses introduce Generative AI, they often fail to provide comprehensive insights or practical applications, limiting the learner's ability to innovate.

Specialization Depth:

Competing programs tend to offer either generic or overly broad specializations, which lack the precision needed for a competitive edge in the job market.

Alumni Networks:

While other courses may feature alumni networks, these are generally smaller and less influential, reducing the long-term value of professional associations.

Our program rises above the competition by delivering a cohesive, forward-thinking learning journey, built on advanced knowledge, practical applications, and a network of achievers, ensuring learners emerge as leaders in the AI and ML landscape.

Industry Trends

Generative AI stands as a beacon of transformative progress, spearheading cutting-edge advancements across myriad sectors. With language models such as GPT-4 redefining natural language generation, the rapid pace of innovation continues to reshape how machines and humans interact linguistically.

Projected Market Valuation

Generative AI is anticipated to burgeon into a colossal $667.9 billion industry by 2030, underscoring its far-reaching economic potential. (Source: Fortune Business)

Compound Growth Rate

Between 2023 and 2030, the global Generative AI market is expected to expand at an impressive annual growth rate of 24.4%, signaling robust momentum across industries. (Source: Statista)

Economic Contribution

The integration of Generative AI into global processes is forecasted to contribute a staggering $4.4 trillion annually to the worldwide economy, underscoring its unparalleled value addition.

These trends illuminate a future where Generative AI is not merely a tool but a cornerstone of technological and economic evolution.

Companies Hiring
Netflix
Google
Microsoft
LinkedIn
Apple
Amazon
Deloitte
IBM
EY
Accenture
Cohort Composition

The Executive Program in Applied Generative AI is thoughtfully curated for professionals actively engaged across diverse sectors. The heterogeneity of participants enriches the discourse, fostering multifaceted interactions and vibrant class engagement.

Industry Representation

The professional backgrounds of the participants reflect a mosaic of industries, contributing unique perspectives and insights:

  • Information Technology: 43%
  • Software Products: 13%
  • Manufacturing: 20%
  • Pharmaceuticals & Healthcare: 7%
  • Banking, Financial Services, and Insurance (BFSI): 7%
  • Miscellaneous Domains: 10%

This dynamic blend of expertise ensures a rich exchange of ideas, making the program an intellectually stimulating journey for all involved.

Admission Details

Application Framework

The journey to enroll in this program is streamlined into three distinct phases. Upon being shortlisted, candidates will receive a formal admission offer, which can be secured through the timely payment of the requisite admission fee.

Submission of Application

Illuminate your aspirations by sharing insights about your background and articulating your motivation for joining this transformative course.

Securing a Seat

The admission committee meticulously evaluates submissions, curating a roster of deserving candidates.

Commencement of Learning

Upon confirmation of selection, candidates solidify their enrollment by remitting the admission fee and embarking on their educational journey.

Eligibility Prerequisites

Prospective participants aspiring to join the Executive Program in Applied Generative AI must satisfy the following conditions:

  • Possess a bachelor’s degree, maintaining a minimum aggregate of 50% or above.
  • Demonstrate foundational knowledge of programming principles and mathematical concepts.
  • Ideally, have accrued two or more years of professional experience, which enhances the depth of program engagement.

This program is a confluence of rigorous academic benchmarks and aspirational goals, tailored to empower individuals in their professional odyssey.

Post Graduate Program Advantage

Harness unparalleled proficiency through hands-on mastery in the ever-evolving domain of Generative AI. Cultivate a nuanced understanding of prompt engineering, delve into the intricacies of large language models (LLMs), refine skills in fine-tuning methodologies, and pioneer innovations in LLM application design. Embark on a transformative journey into the captivating landscape of Applied Generative AI, equipping yourself with tools to outpace the competition and redefine boundaries.

Student Testimonials

John D., Data Analyst

"Trionova Tech School exceeded my expectations with its Power BI course. The hands-on projects and real-world applications gave me the confidence to tackle complex data visualization challenges at work. The instructors are incredibly knowledgeable and supportive. It’s the best decision I’ve made for my career!"

Emily R., Business Intelligence Analyst

"The Power BI course at Trionova Tech School was a game-changer for me. The flexible scheduling allowed me to learn at my own pace, and the practical projects helped me build a portfolio to showcase during job interviews. I highly recommend it to anyone looking to advance their career in data analytics."

Michael S., IT Professional

"I’ve taken other online courses, but Trionova Tech School’s Power BI program stands out. The curriculum is comprehensive, and the lifetime access to materials means I can revisit lessons anytime. Thanks to this course, I secured a promotion at work!"

Sophia T., Marketing Specialist

"As someone transitioning from marketing to data analytics, I found Trionova Tech School’s Power BI course incredibly beginner-friendly. The mentorship and support made a huge difference. I now use Power BI to make data-driven decisions for my team. It’s truly the best place to learn Power BI!"

Rajesh K., Data Engineer

"The Power BI course at Trionova Tech School is unmatched in quality and content. The instructors are experienced, and the course is packed with practical knowledge. I passed the Power BI Admin certification on my first try and landed a fantastic job. Trionova is the best!"

Admission Fee & Financing

Program Fee Structure

The comprehensive enrollment cost for this program is ₹1,40,000 (inclusive of all applicable taxes).

  • For more information about course fees and scholarships
Click Here
Flexible Financing Options

Our commitment lies in ensuring that this transformative educational journey remains within reach. To facilitate affordability, we extend a diverse array of financing solutions, crafted to ease the financial planning process and make this investment manageable

₹ 1,40,000

Total Program Cost

Installment Plans Starting At

₹ 6,269

/month

Financial Partnerships

In collaboration with leading financial institutions, we provide highly competitive funding options, including interest-free payment plans with absolute transparency and no concealed charges.

FAQs for the Advanced Executive Program in Applied Generative AI

The anticipated duration to culminate the Advanced Executive Program in Applied Generative AI spans approximately four months.

The curriculum is imparted by stalwarts from the industry—seasoned practitioners and authorities within the realms of data and AI. These experts bring a wealth of pragmatic acumen and domain-specific insights into the learning experience. Prior to their onboarding, every instructor undergoes a meticulous vetting process, entailing an in-depth evaluation of their credentials, a rigorous technical assessment, and an instructional demonstration. Additionally, masterclasses are conducted by academicians and distinguished alumni from premier institutes like IITM and other esteemed IITs.

What certification is conferred upon course completion?

Graduates of the program will be bestowed a prestigious joint certificate of completion, collaboratively issued by IITM Pravartak and Simplilearn.

To qualify for admission to the Advanced Executive Program in Applied Generative AI, candidates must fulfill the following criteria:

  • Possession of a bachelor’s degree with an aggregate score of 50% or higher.

  • Foundational understanding of coding principles and mathematics.

  • Two or more years of professional experience (preferred, though not mandatory).

Generative AI harbors transformative potential across a multitude of industries. From revolutionizing content creation in entertainment and media to advancing diagnostic imaging in healthcare and curating bespoke fashion designs, the horizons of this technology are vast. Whether it’s engineering virtual personas in gaming ecosystems, synthesizing medical imagery, or personalizing consumer experiences in retail, Generative AI is primed to redefine industry landscapes, fostering unparalleled innovation and efficiency.

The trajectory of RAG technology heralds groundbreaking advancements. Enhanced algorithms promise superior accuracy in information retrieval, while sophisticated neural networks, especially transformer architectures, continue to push the boundaries of AI efficiency. These innovations are poised to amplify the capabilities of AI systems, enabling nuanced pattern recognition and context-aware response generation. As part of this program, learners delve into these cutting-edge developments, gaining foresight into RAG's evolution and its multifaceted applications.

Mastering Microsoft Copilot equips individuals with avant-garde expertise in AI-driven tools designed to augment productivity. By harnessing the capabilities of Copilot, professionals can streamline decision-making processes through actionable insights, automate monotonous workflows, and optimize organizational efficiency. This proficiency is a sought-after asset across various sectors, paving the way for enhanced career trajectories and opportunities for upward mobility.

Integrating RAG within business intelligence frameworks offers a plethora of benefits that elevate decision-making and operational efficacy:

  • Comprehensive Data Access: RAG amalgamates retrieval-based mechanisms with generative models, enabling access to vast datasets and delivering profound insights.

  • Real-time Intelligence: The ability to fetch contemporaneous data ensures that analytics are grounded in up-to-date information.

  • Contextual Precision: By sourcing relevant documents before generating outputs, RAG guarantees accuracy and relevance tailored to specific inquiries.

  • Enhanced Query Comprehension: The system adeptly interprets intricate queries, delivering nuanced and holistic responses.

  • Personalized Intelligence: RAG tailors insights to align with unique business contexts, offering bespoke and actionable solutions.

  • Augmented Functionality: Seamless integration with conventional BI tools expands their capabilities, rendering traditional analytics systems far more robust and adaptive.

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