We are excited to announce that Tekedia Institute has opened registration for the next edition of Tekedia AI Lab: from Technical Design to Deployment. In this program, you will learn how to build AI agents such as WinSupport, WinJob, WinLearn, etc. You will also master how to deploy such in your personal domain like mywebsite.com.
Tekedia AI Lab: From Technical Design to Deploymentis a hands-on program designed to empower learners with the practical skills needed to design, develop, and deploy AI systems and agents. Moving beyond theoretical concepts, the AI Lab focuses squarely on tangible implementation, ensuring participants gain real-world experience in bringing AI innovations to life. It has four-Saturday practical Zoom sessions and an 8-week business component running simultaneously.
Program Date: Next edition begins March 14, 2026
It has four-Saturday practical Zoom sessions and an 8-week business component running simultaneously. The Live Zoom sessions are held on Saturdays at 3-6pm WAT, on four Saturdays from March 14, 2026 to April 4, 2026.
How To Register and Pay
The cost is $500 or N350,000 and you can pay at the program website here. We support Naira bank transfer, PayPal, Stripe, Zelle, etc.
In this program, we will teach how you can deploy agents on your local computer; such will include:
AI chatbot
Web SEO keyword & title page analyzer
Structured data classifier
Web content summarizer
Essay writer and story planner
More so, Tekedia will educate you on how you can create a personal AI chatbot on your computer, and how to deploy agents in virtual private servers. Every knowledge you need to connect AI foundation models like Google Gemma 3, DeepSeek, etc to power codes your local machine and VPS environments, you will learn. No coding or programming experience is required and this is not a coding program. The full program syllabus is here.
While the AI Lab focuses on code-based, open source model framework, Tekedia AI in Business Masterclass which comes at no additional cost for registration has case studies on how to use no-code, natural language prompting to create AI agents. With our two programs, you will have the knowledge needed to thrive in this AI era.
Upon completion, we award Advanced Diploma in AI Technical Design and Deployment, and Advanced Diploma in Artificial Intelligence (AI) in Business certificates.
In corporate leadership, the most challenging moment is not the rise of power; it is the transfer of it. Many organizations fail not because the founder was weak, but because the successor was unprepared, or worse, uncommitted. The Bible offers a timeless business case in the relationship between Elijah and Elisha, a masterclass in mentoring, succession planning, and leadership seriousness.
When Elisha asked Elijah for a “double portion,” he was not asking for comfort, title, or ceremonial inheritance. In the Hebrew context, the double portion is the share of the firstborn, the one expected to carry continuity, responsibility, and growth. Elisha was effectively saying: I do not want to merely maintain what you built; I want the capacity to exceed it. That is ambition with accountability.
Elijah did not resist that request. He prepared Elisha. He walked with him, exposed him to the work, and allowed him to observe leadership in motion. This is active succession, not accidental handover. Great leaders do not disappear; they deliberately develop successors.
Before leaving, Elijah gave Elisha the mantle, a visible symbol that authority had been transferred. In modern organizations, this looks like a departing CEO staying on as an advisor, signaling continuity, confidence boosting, and institutional memory. The leader may be stepping aside, but the system is not abandoned.
Yet symbols alone do not solve problems. Elisha proved readiness when he used the mantle to part the River Jordan. He did not frame it, announce it, or debate its meaning. He deployed it. Leadership authority is validated not by possession, but by problem-solving. Power that cannot be used is not power; it is decoration.
But note this, long before that moment, Elisha had already demonstrated something rarer: absolute commitment to the mission. When Elijah first called him, Elisha burned his plowing equipment and slaughtered his oxen. This was not emotion; it was strategy. He eliminated the option of retreating. No side hustle. No fallback plan. No divided attention. He severed his past to fully enter his future. That act alone explains why he could carry the double portion because he had the capacity to carry weight.
Good People, most of the CEOs we hail make uncommon personal sacrifices, as they hold the mantle in the firm. They sign up for things we cannot commit to with adical dedication to the Firm.
In our world, people ask for authority, campaign for power, negotiate titles, but when authority arrives, they become distracted. Elected to the Senate but treating it as a part-time role. Appointed CEO but mentally invested in the side hustle. Power is requested, but mission is optional. Nations fade because of that. And it destroys companies.
Elisha teaches a lesson: if you want authority, you must be ready to deploy it, and deploy it on the assignment for which it was given
Nvidia Chief Executive Jensen Huang has moved decisively to quash suggestions of strain between the world’s most powerful AI chipmaker and OpenAI, pushing back against reports that Nvidia is reconsidering the scale of its financial and strategic commitment to the ChatGPT creator at a critical moment for the artificial-intelligence industry.
Huang’s remarks came after The Wall Street Journal reported that Nvidia was stepping back from a previously announced plan to invest as much as $100 billion in OpenAI and to help build 10 gigawatts of AI computing infrastructure. The report suggested Huang had privately emphasized that the agreement was nonbinding, raised concerns about OpenAI’s business model, and pointed to growing competition from rivals such as Anthropic and Google. It also said discussions had shifted toward a smaller equity investment, potentially still in the tens of billions of dollars, rather than the full headline figure.
Speaking to reporters in Taipei on Saturday, Huang dismissed the notion outright. He described the idea of friction with OpenAI as “nonsense” and stressed that Nvidia would “definitely participate” in OpenAI’s next funding round, according to Bloomberg. He framed the investment not as a defensive move, but as a conviction bet on what he called one of the most important companies of the modern era.
“We will invest a great deal of money,” Huang said. “I believe in OpenAI. The work that they do is incredible. They’re one of the most consequential companies of our time.”
Huang declined to specify how much Nvidia would ultimately commit, deferring instead to OpenAI CEO Sam Altman on the size and structure of the fundraising. That reticence underscores a central tension now facing the AI sector: capital needs are exploding, but even the largest technology firms are wary of locking themselves into rigid, long-term commitments as the competitive landscape shifts rapidly.
OpenAI, meanwhile, has sought to project stability. A spokesperson told the Journal that Nvidia and OpenAI are “actively working through the details of our partnership,” adding that Nvidia “has underpinned our breakthroughs from the start, powers our systems today, and will remain central as we scale what comes next.” The statement reinforces the reality that, whatever the precise equity arrangements, OpenAI remains deeply dependent on Nvidia’s hardware to train and run its most advanced models.
The backdrop to the dispute is OpenAI’s extraordinary funding ambitions. In December, the Wall Street Journal reported that the company was seeking to raise up to $100 billion, a sum that would eclipse any previous private funding round in Silicon Valley. The New York Times reported this week that Nvidia, Microsoft, Amazon, and SoftBank are all in discussions about participating, highlighting how OpenAI has become a focal point for capital across the tech and finance worlds.
Each of those relationships carries its own strategic complexity. Microsoft remains OpenAI’s largest shareholder, holding roughly 27 percent following a restructuring last year, and continues to supply much of its cloud infrastructure. Amazon has signed a $38 billion, seven-year deal to provide AWS capacity and is reportedly weighing a further multibillion-dollar equity investment. SoftBank founder Masayoshi Son is said to be close to committing as much as $30 billion, extending his long-standing bet on transformative technologies.
However, the calculus is different for Nvidia. Unlike cloud providers that are both investors and customers, Nvidia’s dominance rests on selling chips and systems to everyone building large-scale AI. That position gives it immense leverage but also exposes it to accusations of favoritism if it appears too closely aligned with a single model developer. The Journal report’s suggestion that Huang has been vocal about competition from Anthropic and Google fits with Nvidia’s public stance that the AI ecosystem will remain plural, not winner-take-all.
Analysts say this helps explain why Nvidia has emphasized flexibility. Even if the original $100 billion figure was aspirational rather than contractual, the scale of OpenAI’s infrastructure plans is real. Training frontier models now requires tens of billions of dollars in compute, power, and data-center build-out, costs that are rising as models grow more complex and inference demand surges globally.
Huang’s comments in Taipei also come as Nvidia faces intensifying scrutiny from governments and regulators over its central role in AI supply chains. U.S. export controls, particularly on advanced chips destined for China, have already reshaped Nvidia’s product strategy. Any perception that Nvidia is wavering on its biggest AI customer could ripple through markets that view OpenAI as a bellwether for the sector’s growth trajectory.
Instead, Huang chose to send a message of confidence and continuity. He signaled both belief in the company’s mission and caution about the form that support will take by publicly backing OpenAI while declining to lock in a number. That balancing act reflects the broader state of the AI boom: enormous opportunity, unprecedented capital requirements, and strategic relationships that remain fluid rather than fixed.
Perplexity locked in a massive $750 million AI cloud deal with Microsoft, which basically confirms tech giants are dumping billions into AI infrastructure and expect artificial intelligence to absolutely crush the next decade of technology innovation.
DeepSnitch AI, currently at a discount price, is screaming the best AI crypto coins opportunity with four live AI security agents already protecting traders, while 300% bonus codes turn your $30K into $120K tokens that explode to $32M when Microsoft’s endorsement sends AI crypto parabolic.
Microsoft drops $750M on AI: Blockchain AI tokens about to print
Perplexity securing a $750 million AI cloud infrastructure deal with Microsoft shows tech giants view artificial intelligence as the most critical technology investment for the next decade of digital transformation.
The deal provides Perplexity with massive computing resources from Microsoft Azure to scale AI operations, which signals that AI infrastructure demand is exploding faster than existing capacity can handle and creates opportunities for blockchain AI projects offering decentralized alternatives.
Top high-growth AI tokens for February 2026
1. DeepSnitch AI destroys competition as best AI crypto coin with AI trading tools and 300% multipliers
DeepSnitch AI leads the best AI crypto coins list because it gives traders four operational AI weapons that create asymmetric advantages while your competition trades blind and loses money to scams.
AuditSnitch saves you from losing everything to rug pulls. Scan any contract in seconds before you ape in and watch it catch the honeypot functions, hidden mint capabilities, and malicious code that would have drained your wallet. This tool alone has saved early users millions by flagging scam projects during presale FOMO when emotions override logic
SnitchScan turns you into the whale. Track institutional wallet movements 24/7 across Ethereum, BSC, Solana, Polygon, and every major chain. Get instant alerts when smart money starts accumulating low-cap gems before CT catches on. Copy their entries, ride the momentum pump, exit into their buying pressure.
SnitchFeed makes you the first to know. Breaking news hits your feed in real time before it trends on Twitter. Partnership announcements, exchange listings, regulatory developments. Front-run the narrative, enter before the pump, take profits while retail is still reading the announcement.
SnitchGPT is your personal trading analyst working 24/7. Ask any security question and get instant answers using live blockchain data. “Is this contract safe?” “What’s the holder distribution?” “Are there any suspicious transactions?” Stop wasting hours researching and start making faster, more informed decisions that compound your edge.
The team extended presale after demand crushed projections, giving you exclusive access other traders won’t get. These live AI tools run exclusively for presale participants while everyone else waits. You’re building pattern recognition on whale accumulation zones and contract red flags that becomes your unfair advantage once public launch happens and you’re trading against people without these tools.
DeepSnitch bonus codes turn good entries into generational wealth. When DSNT runs to $10 during the AI security explosion Microsoft just validated with $750M, your $10K position hits $6.65 million.
2. KAITO targets 10x returns through AI search infrastructure
KAITO trades at $0.39 on January 31 as AI-powered search infrastructure gains attention from Microsoft’s $750M deal validating that AI analytics tools represent critical infrastructure for information discovery.
The protocol gives traders AI search and analytics for crypto markets. KAITO could 10x if the AI analytics vs blockchain ecosystem narrative explodes throughout 2026 when institutional capital flows in.
3. VANA builds toward 5x gains through data ownership infrastructure
VANA trades at $2 on January 31, riding the data ownership wave as users realize they’re getting farmed by Microsoft and every AI company for zero compensation on their personal data.
The protocol gives you ownership and monetization of your AI training data contributions. Positioned for 5x when privacy narrative explodes in 2026 and everyone demands control over their data.
VANA’s a safe AI analytics vs blockchain ecosystem bet with working products, but for best AI crypto coins that actually print millionaires, DeepSnitch AI at $0.03755 delivers four live AI security agents today plus 300% presale multipliers instantly quadrupling your stack.
Extended presale lets you master whale tracking and contract analysis before launch, edge that evaporates when public buying starts.
Conclusion: DeepSnitch AI leads AI crypto sector
Microsoft’s $750 million AI infrastructure deal validates unprecedented capital flows toward AI technology, benefiting blockchain projects offering working products at presale pricing.
KAITO and VANA deliver decent 5x to 10x returns as AI infrastructure plays, but the best AI crypto coins printing millionaires is DeepSnitch AI at $0.03755 with working AI security agents today plus 300% presale bonuses that 4x your bag instantly before launch sends prices parabolic and early advantages vanish.
What are the best AI crypto coins after Microsoft Perplexity deal?
Best AI crypto coins combine Microsoft validation with working products. KAITO and VANA offer 5x to 10x through AI infrastructure. DeepSnitch AI at $0.03755 delivers 1000x potential with 300% bonuses and live security tools.
Why does AI analytics vs blockchain ecosystem matter?
AI analytics vs blockchain ecosystem represents the intersection where decentralized AI tools solve problems that centralized tech giants cannot address effectively. DeepSnitch AI offers security tools that Microsoft’s centralized approach lacks.
Are KAITO and VANA the best AI crypto coins?
KAITO and VANA represent strong best AI crypto coins for slow gains. However, DeepSnitch AI offers explosive multiplication through working security agents, presale pricing, and 300% bonuses before public launch.
Leading stablecoin issuer Circle aims to build a scalable payment network suitable for institutional-grade applications as companies explore stablecoin use in 2026. The firm is making this a priority.
Amid this development, DeepSnitch AI takes over the headlines, emerging as one of the best crypto presale projects ever to grace the crypto scene.
What sets DeepSnitch AI apart is its utility-focused approach in helping investors spot opportunities early before they go mainstream. This capability has attracted over $1.41 million in investment from traders looking to capitalize on what could become a 300x profit opportunity.
Circle pursues sturdy infrastructure to accelerate institutional stablecoin adoption
Circle, a renowned stablecoin issuer, is prioritizing the development of more efficient infrastructure in 2026 to bolster stablecoin adoption among institutional players.
In an X post on January 29, Nikhil Chandhok, Circle’s chief product and technology officer, revealed that the firm intends to push Arc, a layer-1 blockchain for institutional and large-scale use, from testnet to production.
Simultaneously, Circle aims to deepen the utility and expand the reach of its tokens: USDC, EURC, USYC, and the stablecoins its partners have launched together by integrating into other chains.
3 early-stage token launches with massive growth potential for 2026
1. DeepSnitch AI triggers FOMO among investors with a 300x growth prospect
The way retailers research new opportunities in the crypto market is about to change with the introduction of DeepSnitch AI. This protocol uses AI agents to spot market opportunities before they go mainstream.
Upon launch, DeepSnitch AI will deploy five AI agents (SnitchScan, SnitchFeed, SnitchCast, SnitchGPT, and AuditSnitch), built with the ability to track wallets, spot patterns, identify sentiment shifts, optimize strategies, and alert users to fraud or FUD.
With these tools in your reach, winning will become a walk in the park. The best part is that if you participate in the ongoing DeepSnitch AI presale and are holding DSNT, you will have access to beta-test these tools.
DSNT is currently in stage four of its ongoing presale and is already making waves among the best crypto presale projects. This sentiment comes from the belief that it will attract more investments on top of the current $1.41 million and could rise 300x from its current price of $0.03755.
2. Blazpay: AI-focused infrastructure among upcoming crypto presales
Blazpay is branded as a utility-focused platform that builds a functional architecture to simplify DeFi participation rather than to feed speculative narratives.
This platform supports trading, asset management, and cross-chain interaction via a unified interface, making decentralized finance offerings easier to access.
As of now, Blazpay is in phase 7 of its presale, selling for $0.0178. It has sold out 260.79 million tokens out of 282.04 million, and is closing in on wrapping up this epoch, having raised $2.3 million.
3. Maxi Doge ranks among the best new ICOs
Maxi Doge takes a community-centric approach by creating a unique, viral meme to attract risk traders. For traders who max out their positions, Maxi Doge offers zero stop losses and unlimited trading sessions.
Some of the key features of Maxi Doge include staking rewards and special access to trading competitions. As it focuses on advancing its reach, Maxi Doge will partner with trading platforms to host gamified competitions where the winners will receive prizes.
Maxi Doge’s presale has crossed the $4.5 million mark and is gearing up for its exchange debut. But a new rival, DeepSnitch AI, is stealing the spotlight from Maxi Doge, Blazpay, and other early-stage token launches.
The bottom line
DeepSnitch AI is turning investor focus to its AI-powered ecosystem, where traders and investors can use AI agents to spot market opportunities early and get ahead of the competition.
Many consider DeepSnitch AI the best crypto presale project because, in addition to its invaluable utility, it is also offering investors a 300% bonus on presale purchases above $30,000 with the code DSNTVIP300.
At its current price of $0.03755, a $30k investment would get you 798,935 tokens. When the code is used, you get a total of 3,195,740 tokens, which will be valued at $120,000. Imagine if DSNT hits $1, that is an easy $3 million+ return. But this opportunity won’t stick around forever.
1. What is the best crypto presale token to buy today?
Among the upcoming crypto presale projects making waves today, DeepSnitch AI is considered the best as it could deliver 300x returns upon launch in addition to an array of AI agents that position users for incredible wins.
2. Which of the early-stage token launches can really rise 100x?
Most emerging presale projects claim to be the next 100x crypto, but DeepSnitch AI backs this claim up with expanding utility, a clear roadmap, growing adoption, and prospective leadership status.
3. Why is DeepSnitch considered one of the best new ICOs?
In just four presale stages, DeepSnitch AI has raised $1.41 million, users have staked more than 20 million tokens on the platform, its AI agents are available to investors serious about making a profit, and its presale is still in its earliest stage, leaving more room to grow.
